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Amplitude Ranks #1 in Three Analytics Categories by G2, Announces 2021 Datamonsters of the Year Winners – Business Wire

December 22, 2021 | Author: admin

SAN FRANCISCO--(BUSINESS WIRE)--Amplitude, Inc. (Nasdaq: AMPL), the pioneer in digital optimization, today announced that it ranked #1 across six categories in the G2 Winter 2022 Report, showcasing the ease of doing business with Amplitude and its product superiority. This is the fifth consecutive quarter that G2 users ranked Amplitude as the #1 Product Analytics solution. Amplitude also announced the 2021 winners of its Datamonsters of the Year awards, highlighting the top global leaders leveraging Amplitude to build data-informed cultures for product-led growth. Together, the G2 rankings and the Datamonsters of the Year awards highlight customers deep trust in Amplitudes award-winning technology as a strategic part of their digital growth stack.

G2 Winter 2022 Report: Leading Product Analytics in the Enterprise

As the worlds largest software review site, G2 recognizes the top picks in business software and services based on feedback from thousands of G2 users, from product managers to marketers and executives. In the Winter 2022 Report, G2 users rated Amplitude as the #1 Product Analytics solution overall as well as the top Product Analytics solution for enterprises, signaling strong enterprise adoption of Amplitudes Digital Optimization System.

G2 users also rated Amplitude #1 in both Mobile Analytics and Mobile App Analytics. According to data from Sensor Tower, consumer app spending is expected to reach $270 billion by 2025, and Amplitudes rankings demonstrate businesses deepening understanding of the value of product data in driving customer engagement, retention and revenue. In addition to the product categories, G2 users also ranked Amplitude #1 in Satisfaction for Product Analytics, #1 in its Enterprise Relationship Index, which tracks ease of doing business, likelihood to recommend and quality of support, and #1 in Mid-Market Usability.

Digital optimization helps teams gain actionable insights into product behavior to help maximize growth. The first step in this journey is product analytics, said Jennifer Johnson, chief marketing and strategy officer at Amplitude. Users have spoken, and after five reports as the #1 solution its clear we are the leader. We congratulate our Datamonsters of the Year award winners for leading the way in the industry, and we thank our customers for their continued trust and support.

2021 Datamonsters of the Year

Today, Amplitude also unveiled the winners of its Datamonsters of the Year awards, an annual celebration of the top customers leveraging product data to drive strategy and business growth. These Amplitude customers continuously created and shared the most insights with their teams over the past year. Amplitudes 25 winners come from product, data science, marketing and analytics teams, demonstrating the democratization of product data across organizations to help drive growth. In fact, more marketing and customer success roles use Amplitude than data scientists, according to our 2021 Product Report.

The top five 2021 Datamonsters of the Year include:

As we aim to provide our customers with world-class content and digital experiences, Amplitude equips us with self-serve, behavioral insights that enable our teams with a real-time view and understanding of our customers changing preferences and needs, said Robbin Brillantes, Data Analytics Head, ABS-CBN Global Ltd. Amplitude makes it easy to share learnings across our organization, which has not only created a data-informed and collaborative culture that brings us closer to our customers, but continues to fuel curiosity, creativity, and experimentationdriving continuous improvement to all ABS-CBN digital offerings for our customers to enjoy.

View the complete list of winnersincluding two returning winners from 2020here.

To learn more about Amplitude, request a custom demo today and download the complete G2 Winter 2022 report here.

About Amplitude

Amplitude is the pioneer in digital optimization software. More than 1,400 customers, including Atlassian, Instacart, NBCUniversal, Shopify, and Under Armour rely on Amplitude to help them innovate faster and smarter by answering the strategic question: How do our digital products drive our business? The Amplitude Digital Optimization System makes critical data accessible and actionable to every team unifying product, marketing, developers, and executive teams around a new depth of customer understanding and common visibility into what drives business outcomes. Amplitude is the best-in-class product analytics solution, ranked #1 by G2. Learn how to optimize your digital products and business at amplitude.com.

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From Strategy to Action: How to Break the Code of Analytics at Scale in Retail and CPG – Global Banking And Finance Review

December 22, 2021 | Author: admin

By Chris Hillman, Teradatas Data Science Director EMEA and Chris Newbery, Teradatas Industry Consultant Retail/CPG EMEA

A recentMcKinsey&Co articleoutlines the challenges retail and CPG companies face when trying to break the code of digital analytics. They, in common with our own consultants, perceive the need for the retail and CPG leaders of the future to successfully leverage analytics at speed and scale to drive performance. By their estimates, leaders have already delivered more than triple the total return to shareholders than the laggards in this area!

REALISING VALUE FROM ANALYTICS IN RETAIL

We all recognise the drivers: unprecedented changes to consumer behaviour, radically intensified competition, highly pressured margins and rapidly evolving sales channels all accelerated by the COVID pandemic. McKinsey reflects our thinking on two further points of specific relevance to the Chief Data Officer: the need to create a simplified enterprise data architecture, and to give flexibility to quickly deploy and reuse analytics across the organisation. However, the challenge we encounter every day is that moving from understanding the requirements, to implementing solutions, is never as easy as companies hope. We see a big discrepancy in the industry between recognition of the need to change (which most understand is required) and the ability to deliver the transformation (with many unable to do this anywhere near quickly enough). McKinsey suggests that only 20% of CPG businesses are realising value from analytics at scale, and that reticence to invest and scale-up quickly is at least partly to blame.

HARMONISING DATA AT SCALE

Looking at just two dimensions of McKinseys matrix illustrates that with a strategic road map that builds on proven frameworks, the CDO can quickly show significant return on investment and provide the basis for multiplying benefits. Many retailers and CPGs have difficulty in harmonizing data at scale and creating production pipelines that unify data to deliver reusable features. Simply put, too much data resides in silos, only feeding individual departmental insights. Data is seldom shared or re-used, and looking for data, even within a specific area of the business, is difficult and time consuming. Attempting to integrate data sets across stores, geographies, ERP systems, product lines or departments is often all but impossible. These factors are why highly skilled and in-demand Data Scientists spend up to 80 percent of their time just preparing data. Worse, once all that effort has been made, the results are often forgotten, and the next project starts from scratch all over again!

AnEnterprise Feature Storeimplemented on Teradata Vantage can help retailers and CPGs overcome these bottlenecks. Prepared, integrated and performant data features are catalogued and stored in a referenceable library from where they can be reused by other Data Scientists across the entire business; thereby reducing huge amounts of time/money/data duplication, as well facilitating a more efficient processes that will deliver wider implementations of AI and Machine Learning to support multiple business cases.

Crucially, the Enterprise Feature Store approach accumulates value. Start with a small discrete project which will prove the concept and establish the first features in the store. Subsequent projects can then reuse these as they build out the store. The more projects and the more features, the more value is driven. The more value is driven, the more they get developed, and you are rewarded with a virtuous cycle of return on investment.

ALIGN AND ACCELERATE ANALYTICS DEPLOYMENT

The second of McKinseys dimensions to highlight is the need to align analytics vision, talent, and tools. Many in the sector continue to struggle to deploy analytic models with the flexibly required. Different Data Scientists use different languages to create their models, using bespoke pipelines that lead to technical debt (what happens when they leave?) and make it hard to deploy at scale. Instead, huge swathes of data are copied and moved to silos where they increase overall costs and quickly become out of date.

The TeradataAnalytics 123approach provides a formula to overcome these hurdles. The Enterprise Feature Store provides a trusted repository of proven features, while delivering the security, privacy and governance required to build trust. Data Scientists can then use their preferred modelling language(s) to develop the analytics using trusted features, and seamlessly deploy/execute them in Teradata Vantage on live data. Data movements are minimised, and real-time dashboards, automated actions and all other advanced analytics can run from live data, placed at the heart of the decision-making process.

SIMPLE, EFFICIENT, REUSABLE

Working closely with the biggest retailers and CPGs across the world, Teradata has helped them take these vital steps. A typical engagement starts with using integrated data from two or three functions or systems to answer a specific business issue for example, Teradata worked with a French grocer to better understand price drivers on a selection of SKUs and quickly increased profit margins by 5-10%. Once proven, the concept can then be extended to additional lines and locations. The features created are then re-used to drive complementary business analysis and so the benefits multiply. In many cases these solutions leverage existing data, technologies and platforms simply by providing a better unified and more efficient analytics pipeline.

It is clear to most retail and CPG businesses that current manual and fractured approaches to analytics within their businesses are not sustainable. Mainstream retail/CPG businesses are deploying a few million predictive models at best but to compete in this new environment they will need to scale and deploy hundreds of millions of models in production. Breaking the code of analytics is not a once and done action; it is not a sprint, but more of a relay race. Sequential projects will piece together the crucial elements of an enterprise-wide data platform and enable fast, flexible deployment of analytics across the business.

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Subex : What is AutoML and how it is democratizing AI? – marketscreener.com

December 22, 2021 | Author: admin

At a time when businesses are looking at adopting Artificial Intelligence (AI) not just for competitive advantage but even for mere survival, it is increasingly challenging to build a successful AI practice with acute skills shortage for data scientists. On the other hand, Machine Learning (ML), which is built for its application involving laborious tasks such as cleaning data, preparing data and training ML algorithms, validation etc. However, there is continuous effort to automate these tasks by built more intelligent ML procedures and algorithms. AutoML , as we call it, can democratize ML by allowing even business users to develop and execute their own data models with little to no training on data science. Other than bridging the skills gap, automation in ML processes can also eliminate data biases, a major concern today, and reduce human errors while improving overall efficiency. Moreover, AutoML would allow domain experts and technical experts like data scientists, ensuring continued focus on business value.

The need for AutoML - Challenges with traditional ML processes

The growing interest in AI and ML means that there is a crippling shortage of data scientists. There were over 2.7 million open positions for data science and analytics jobs, according to a report by the Business-Higher Education Forum.As per the US Bureau of Labor Statistics, the number of jobs in the data science field will grow by 26 percent through 2026, adding nearly 11.5 million new jobs.

However, demand vastly outpaces supply for data scientists given how challenging it had been for several decades to work in this domain. It is impossible to generate hundreds of thousands of new data scientists in an instant, making it tough for organizations to implement their data science plans.Lack of these skillsets is one of the biggest reasons holding back thousands of companies from starting their AI journey. That said, automation is rapidly trying to solve this problem by making data science more accessible to even those without years of data science experience or even a degree in the subject.

Even so, lack of required skills is not the only challenge that organizations looking at machine learning face today. Even if an organization has the right skills, it may still be highly under-utilized because of the sheer amount of time that it takes just to clean the data. Data scientists spend as much as two-thirds of their time just cleaning the data. Just imagine if this is automated, what kind of fillip it will provide to the domain.

Further, data scientists often don't come with domain and business expertise. However, even if bring domain and business understanding they end up focusing most of their time ingesting and processing data in order to make the models relevant. As a result specific business context often go amiss, leading to unsuccessful adoption of AI/ML.

Traditional ML processes are also highly dependent on human expertise, given the amount of customization that each ML model requires for the specific problem on hand. This makes the entire process inherently time-consuming. To build a new ML model, you still have to through the rigours of data preparation, feature engineering, training the model, evaluation and selection.

Biases in AI and ML models are also a major subject of debate today. Biases often creep in because of manual interventions and the inability of humans to analyze massive data sets for possible biases. The complexity of ML models currently has turned them into black boxes with very little visibility into what goes inside and what is impacting the final results.It is therefore vital to automate the process of machine learning to get better visibility into the models, eliminate all biases, and improve the overall efficiencies.

What is AutoML?

While machine learning continues to evolve, Automated Machine Learning (AutoML) goes beyond automation to accelerate the process of building ML and deep learning models. It automates several aspects of the ML processes, including the identification of the best performing algorithm from the available universe of features, algorithms and hyperparameters.

How Does AutoML Help?

By eliminating repetitive tasks, such as data cleaning, AutoML frees up the highly valued human resources to move towards value-adding analysis and more in-depth evaluation of the best-performing models. This allows enterprises to significantly cut down the time-to-market for the products and solutions built on these ML models.It:

However, complete automation also has its own set of challenges. Tesla founder Elon Musk famously said "AI is far more dangerous than nukes." Apart from Musk, technology leaders like Bill Gates and Steve Wozniak have expressed concern about the dangerous aspect of AI. For instance, anyone with malicious intent can program AI systems to carry out mass destruction. Any powerful technology can be misused and AI is no different. The truth is that as long as AI systems continue to be Black Boxes, it will continue to remain a threat.

Some new age solutions are changing that equation by bringing in transparency and making it easier for users to interact better with AI systems. HyperSense AI Studio , for example, is built with guided analytics capabilities, which is a combination of automated ML and interactive ML. This allows usersto develop applications with a combination of automation and human interaction at any stage of the data science cycle based on task and business user requirements. The solution also generates alerts and gives recommendations to users as they are creating a pipeline.

The process eliminates biases that might have crept in and ensures that the system is not seen as a Black Box by providing details of how it functions and arrives at the results.

Through AutoML, the user can easily automate tasks like data pre-processing, feature engineering and hyper-parameter tuning. Moreover, it allows reusing features instead of rebuilding again from scratch for different models driving AI at scale.

What's trending?

Several Machine Learning processes do not require any human intervention, allowing domain experts to work on building AI models instead of depending solely on the data scientists.

Data scientists, however, do not have to be a rare commodity anymore. Just how the power of a mobile phone camera made citizen journalism possible, the power of AutoML is now creating citizen data scientists . This new breed of professionals will now be able to build their own AI models without any formal education in Machine Learning or AI. Anyone familiar with the usage of Excel and interest in data analysis can potentially become a citizen data scientist.

The role of citizen data scientists will be critical in the growth of AI. In order to scale AI, one needs a massive number of data scientists. Moreover, citizen data scientists don't just fill the skills gap. The biggest mismatch in ML initiatives is that ML projects are often associated with a lack of domain expertise. Data scientists are great at working on data, but they don't necessarily come with a good understanding of your business or industry. Connecting the roles of domain expertise and data expertise has been a massive challenge for several firms.

However, by putting the ability to build a data model into the hands of a business user, AI projects can move towards newer dimensions that can only be perceived by a business domain expert.

What are the benefits of AutoML?

Other than democratizing machine learning, AutoML also has several other advantages. Automating the machine learning processes, for example, can tremendously accelerate the speed of training multiple models while also improving accuracy. In addition, AutoML eliminates biases in datasets by limiting human intervention and automating most of the processes in the ML pipeline. The reduced human intervention also cuts down on human errors in the process.

Automation also makes ML more scalable by enabling multiple ML models to be trained simultaneously, and in doing so, it also optimizes the overall ML processes to a great extent.

HyperSense AI Studio is an excellent example of AutoML platform . The platform enables enterprises to build and operationalize AI successfully using automated machine learning. It increases the efficiency of data scientists allowing them to focus on higher-value tasks. It automates every step of the data science lifecycle including, feature engineering, algorithm selection, and hyper-parameter tuning.

By leveraging HyperSense AI Studio , data scientists and domain experts can easily build ML models with higher scale, productivity, and efficiency while sustaining the model quality. By automating large part of the ML processes, the platform accelerates the time to get production-ready models with greater ease and efficiency. It also reduces human errors mainly because of manual measures in ML models.

It also makes data science accessible to all, enabling both trained and non-trained resources to rapidly build accurate and robust models, thus fostering a decentralized process. Further, it enhances collaboration between domain and technical experts which encourages the focus to remain on business value and not on technical part of the implementation. This helps in bringing down silos and promotes collaboration in other areas as well.

The quality of the machine learning model is not only based on code but also on the features used for running the model. Around 80% of data scientists' time goes into creating, training, and testing data. HyperSense AI Studio comes built-in with a feature store that allows features to be registered, discovered, and used as a part of an ML pipeline. It allows reusing features instead of rebuilding again from scratch for different models driving AI at scale.

Key Takeaway

AI projects for long have been stuck at pilot stages due to several challenges that include lack of data scientists, slow progress in ML processes and even lack of coordination between business and data teams.According to a Gartner study, about 75 percent of organizations will shift from piloting to operationalizing AI by the end of 2024. Also, 50 percent of enterprises will devise AI orchestration platforms to operationalize AI. This, however, wouldn't be possible without leveraging AutoML .

AutoML has the potential of democratizing AI and Machine Learning and finally take AI projects from mere pilots to scaled deployments. AutoML platforms like HyperSense AI Studio increases the efficiency of data scientists by allowing them to focus on higher-value tasks. The platform automates every step of the data science lifecycle including, feature engineering, algorithm selection, and hyper-parameter tuning, ensuring enhanced operational efficiency. In addition, it comes built-in with a feature store that allows features to be registered, discovered, and used as a part of an ML pipeline and even allows reusing features instead of rebuilding again from scratch for different models driving AI at scale.

Get better results from your data with HyperSense AutoML

Try AI Studio for Free

Tharika Tellicherry is an Associate Marketing Manager at Subex. She has extensive experience in Product Marketing, Content Creation, PR, and Corporate Communications. She is an avid blogger and enjoys writing about technology, SaaS products, movies, and digital customer experience.

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Increase cloud visibility with these 4 best practices – TechTarget

December 22, 2021 | Author: admin

Increased visibility into a cloud environment gives admins a detailed view of all activity and helps address high costs, application performance trouble and security threats. While it might seem like a basic need, not all enterprises have a cloud visibility strategy.

Admins need to link cloud activity, and the associated charges, with the way users interact with cloud applications. Also, they need to link public cloud conditions -- the state of resources and application elements -- to data center conditions, as well as the conditions in other public clouds within a multi-cloud. In terms of hosting, the broader the scope of a given application is, the more complex the visibility problem will be.

Use these cloud visibility best practices to get a better view of an environment.

Admins need to understand the data that's available to them and what that data tells them about performance, availability and cost. They should then correlate problems users have with the monitoring data. The purpose of the comparison is to see whether quality of experience problems reported by users are leaving any observable changes in conditions or the state of resources and applications. These opaque zones are the most common problems of cloud visibility.

For these data scope problems, add data collection points via additional monitoring data collected by middleware or with probes. A surprising number of enterprises don't fully utilize the data that their orchestration tools, such as Kubernetes and Docker, or service mesh tools, such as Istio and Linkerd, make available.

If data scope is not the problem, it could be data interpretation. Data interpretation problems can arise because of a lack of data centralization. The data available can be too voluminous or too complex to permit easy analysis. Admins can address these issues with centralized monitoring, as well as AI and machine learning (ML) technologies.

Insert probes at specific points where it's important to establish visibility.

For applications developed in-house, consider adding application performance monitoring probes to the code. Insert probes at specific points where it's important to establish visibility. For example, you would place an in-code trigger or probe at points where the decision logic of the program indicates some significant event occurred, such as a transaction that doesn't match anything in the database. They generate events that can then be captured and analyzed. Make sure to include the time, event type and any relevant message data in the probe's event. It's critical to facilitate the correlation of observations or conditions with each other and with user reports -- you have to tie a software probe event to other events for real analysis. DTrace is a well-known and widely used code trace tool for troubleshooting. It can also trace middleware and OS functions.

For third-party software, admins need to rely on something outside application code. The most popular concept is the bytecode trace. This type of trace uses message tags to follow work between components or steps. ManageEngine, Sentry, Catchpoint and Dynatrace are among the best-known tools for this kind of tracing. The trace data provides insights into workflow performance and identifies key components in the workflow. This helps focus monitoring attention on the right places.

When information is divided, interpretation becomes difficult. Centralized monitoring collects monitoring data and stores historical data for analysis. This strategy improves visibility, and it works as long as admins collect the data they need.

A centralized monitoring strategy is a good way to capture statistics on information movement and infrastructure behavior from a variety of places. This is especially true when the separation of data limits its value in assessing cloud performance. Key tools for centralized monitoring include the open source Netdata and proprietary tools, such as AppDynamics, New Relic and Amazon CloudWatch.

A record of what you know is helpful but only to the extent that it can generate useful actions for your operations team.

AI/ML technology is now a popular way to improve cloud visibility because it enhances the speed and sophistication of data interpretation. It is often combined with a centralized monitoring strategy. AI/ML assumes that operations personnel can't interpret the meaning of available data or take appropriate action.

However, the biggest challenge in improving cloud visibility through AI data interpretation is finding tools that see all the essential data. Data ingestion capabilities, such as linkages to various data sources, and interpretation models vary widely between tools. Admins must assess the tools with their needs and data sources in mind. Even after careful review, run a trial before committing to an AI package.

AWS, Microsoft Azure and Google Cloud offer some AI cloud data analysis tools and features, and products such as LogicMonitor, Zesty and IBM Cloud Pak for Watson AIOps can be useful.

Additionally, actionability is an important aspect of cloud visibility. A record of what you know is helpful but only to the extent that it can generate useful actions for your operations team. Review how visibility strategies convert into effective cloud operations.

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New submarine cable will blast data between Japan and Europe through Arctic waters – TechRadar

December 22, 2021 | Author: admin

A new submarine internet cable is set to connect Europe and Asia, running an unconventional route through the famous Northwest Passage.

As per a memorandum of understanding signed by US telco Far North Digital and Finnish counterpart Cinia, the Far North Fibre will extend 16,500km under the sea, docking in Norway, Finland, Ireland, Alaska and Japan.

By avoiding lengthier routes and cross-connection to terrestrial networks, the new fibre optic cable is set to significantly reduce the optical distance between Asia and Europe, with positive effects on both capacity and latency.

TechRadar Pro has asked the duo for confirmation of the additional capacity the cable will provide.

The Northwest Passage is a famous sea route connecting the Atlantic and Pacific Ocean through the perilous Arctic Archipelago.

According to the Britannica entry, the quest to navigate the passage was one of the worlds severest maritime challenges, one that took hundreds of years to surmount due to the inhospitable conditions.

Traditionally, underwater web cables connecting Europe and Asia have run through the Suez Canal. The alternative is to cross over the United States by linking into terrestrial networks, but this method increases latency and introduces additional points of failure. The Far North Fibre, however, will take an entirely novel approach.

Although a handful of submarine cables have already been laid in Arctic waters (at least one extends even further north than this one), the new cable will be the first to navigate the Northwest Passage, which will almost certainly pose sizeable challenges from an engineering and logistics perspective.

There is an increasing demand for secure and fast international connectivity with new diverse routes. Spanning three of the worlds latest internet adopting continents, the Far North Fibre will be a true global venture, said Ari-Jussi Knaapila, Cinia CEO.

At this juncture, Cinia and Far North Digital estimate the new cable will go live in 2025, but in reality the picture won't become clear until construction begins.

Via The Register

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Return of the JEDI cloud lobbying wars – Politico

December 22, 2021 | Author: admin

With help from Lee Hudson and Rebecca Kern

PROGRAMMING NOTE: Morning Tech wont publish from Dec. 24 to Dec. 31. Well be back on our normal schedule on Tuesday, Jan. 4.

Editors Note: Morning Tech is a free version of POLITICO Pro Technology's morning newsletter, which is delivered to our subscribers each morning at 6 a.m. The POLITICO Pro platform combines the news you need with tools you can use to take action on the days biggest stories. Act on the news with POLITICO Pro.

Jockeying for the new JEDI: Oracle and Google are lobbying for their pieces of the Pentagons new multibillion-dollar cloud contract.

Tick-tock of IA: Well walk you through what caused the dissolution of the Internet Association, once Silicon Valleys most important trade group.

Laying into Lofgren: Progressives want Rep. Zoe Lofgren (D-Calif.) to recuse herself from oversight of the DOJ and FTC, due to her ties to Silicon Valley.

HAPPY TUESDAY AND WELCOME TO MORNING TECH! Im your guest host, Emily Birnbaum. I wish I could say its beginning to look a lot like Christmas, but really its just looking quite gray out there.

You can reach out via @birnbaum_e or [emailprotected]. Got an event for our calendar? Send details to [emailprotected]. Anything else? Team info below. And dont forget: Add @MorningTech and @PoliticoPro on Twitter.

A message from Save Our Standards:

Technical standards like 5G and Wi-Fi have the power to transform industries, fuel the economy, and create high-quality jobs. But that only happens if owners of patents essential to standards honor their commitments to license all innovators to use those patents on fair and reasonable terms. A new draft Administration statement restores the balance vital to standards adoption and job creation. Support the Administration to promote American manufacturing and limit product bans on standard-essential patents.

REACHING FOR THE CLOUD: A month after the government announced that Amazon Web Services, Google, Microsoft and Oracle are eligible to bid on the successor to the Pentagons ill-fated JEDI cloud computing contract, the lobbying has begun.

Oracle last Tuesday sponsored a luncheon at the Army Navy Country Club in Arlington, Va., where Pentagon officials discussed their vision for the new Joint Warfighter Cloud Capability competition, POLITICOs Lee Hudson reports. The following day, a Google representative attended an Aerospace Industries Association happy hour. (ICYMI, the company last month proclaimed its a renewed commitment to doing business with the Pentagon.)

The Pentagon has already said it plans to award one JWCC contract to AWS and a second one to Microsoft, the department said in a notice to industry. But whether Google or Oracle will also receive awards depends on meeting Pentagon requirements. The government extended a formal invitation to the four cloud providers Nov. 19.

The feds hope selecting multiple vendors will prevent a repeat of the bid protests that doomed JEDI, a winner-take-all contract worth up to $10 billion that the Pentagon awarded to Microsoft in 2019, in the wake of heavy criticism of Amazon from then-President Donald Trump. Challenges by Amazon and Oracle tied up the contract, which the DoD ultimately abandoned in July. The Pentagon plans to make up for lost time by awarding contracts for JWCC no later than April.

BEHIND THE SCENES AT THE INTERNET ASSOCIATION: The Internet Associations decision last week to dissolve was driven by money, five people with knowledge of the groups inner workings told your host: The biggest tech companies just werent willing to put up more cash for a group they thought no longer served their interests.

IA had asked Microsoft to significantly increase its dues in the fall, according to one person familiar with the request, who spoke on condition of anonymity to relay private conversations. After that request, Microsoft executives looked into the companys return on investment and determined that the group, dominated by Microsofts major rivals, was no longer worth it. Microsoft, after all, has been increasingly agitating against Meta, Amazon and Google on issues ranging from antitrust to content moderation to news publishing.

Microsofts departure in November left a significant gap in IAs budget, according to two people familiar with the groups financials. IA had already been struggling financially, and was facing a shortfall of around 10 to 15 percent when Microsoft left, one of the people said.

At that point, IA leadership approached all the associations member companies to ask for more money especially Google, Meta and Amazon, the groups biggest funders. The Microsoft departure created a hole in the funding, which companies could have made up if they had decided it was worth funding the organization, said one person involved in the internal deliberations. But Google, Meta and Amazon decided the group wasnt worth the price, either.

Google and Amazon had been frustrated about IAs decision to stay out of the antitrust debates embroiling the industrys biggest players, and Meta has separated itself from its big tech peers with its proposals to change Section 230, while Google has remained more staunchly in support of its current form. Historically, IA has been a place where the platforms Google, Facebook and Amazon were able to dictate the agenda, said one person who has been involved with the association for years. Then, there was a reexamination of all of that. The companies used to having their way could no longer have their way. Google declined to comment; Amazon, Meta and IA did not respond to requests for comment.

Some big tech allies allies have complained that Microsoft dealt the final blow to its competitors major trade group. But the bad blood at IA goes back much farther the association has struggled from internal disputes over its direction for years.

FIRST IN MT: PROGRESSIVE GROUP PUSHES LOFGREN: In a letter to Democratic leadership, the watchdog group Revolving Door Project is demanding Lofgren recuse herself from oversight over the Justice Department and the Federal Trade Commission because of her financial investments in large tech companies, as well as recent reporting from the New York Post that her daughter works on Googles legal defense team. (Lofgrens daughter works on contract law at Google.)

Lofgren owns up to $15,000 in stock in each of several tech companies, including Googles parent company, Alphabet, as well as Apple and Meta, according to her 2020 financial disclosures. (Those investments are in joint stocks with her husband.)

Over the past decade, most Democratic lawmakers have become increasingly critical of Big Tech, the letter reads. Lofgren, however, has defied this trend and maintained a track record of opposing federal scrutiny of Big Tech, further calling into question her ability to be impartial in overseeing the DOJ or FTC. Lofgren is one of several California lawmakers who have opposed antitrust legislation aimed at the tech giants that passed out of the House Judiciary Committee earlier this year.

Lofgrens response: Lofgren in a statement to MT said that she makes decisions according to what is in the best interests of her constituents in California. It is sad, yet telling, when outside groups and/or colleagues turn to personal attacks and fear-based tactics when they cannot advance a policy matter, Lofgren said. When it comes to tech policy, I share the same desire as many of my colleagues to reform digital markets and increase competition, however, most of the bills that passed the House Judiciary Committee back in June are poorly-drafted, extreme and go beyond legitimate, real-world concerns with big tech companies.

Democratic California Reps. Anna Eshoo and Ro Khanna also came to Lofgrens defense, sending a joint statement to MT calling on the sponsors of the House Judiciary antitrust bills to immediately disavow the ad hominem attacks made against Representative Zoe Lofgren by outside groups.

FIRST IN MT: FALLOUT FROM RAIMONDOS COMMENTS CONTINUES: Twelve advocacy and anti-monopoly groups in a letter today are asking President Joe Biden for answers about whether his administration supports the European Unions big tech antitrust rules. Confusion arose about Bidens stance on the European Unions Digital Markets Act and Digital Services Act after Commerce Secretary Gina Raimondo criticized the proposed regulations and the U.S. warned they could threaten companies' intellectual property and trade secrets. Biden has supported similar antitrust efforts in the U.S.

The groups, including Demand Progress and Public Citizen, argue that the EU rules align with Bidens competition executive order and his administrations stance so far toward the big tech companies. They are asking for Biden to release administration documents shared with the EU about tech rules; confirm that Raimondos comments do not reflect administration policy; and renew his support for a whole of government approach to competition and antitrust policy.

META SUES OVER PHISHING: Meta has sued a series of unnamed defendants over phishing campaigns that try to lure users into sharing their credentials on fake versions of login pages for Facebook, Messenger, Instagram and WhatsApp, the social media company announced in a blog post Monday.

The defendants referred to as John Does in the federal lawsuit filed in California created more than 39,000 fake login pages, the filing asserts. Meta said the accused worked with one another knowingly to operate the phishing scheme. The company doesnt know how many people are involved or where they are located, but the suit is aimed at finding out, a company spokesperson told Rebecca.

A message from Save Our Standards:

The FCC today announced that it is committing $603 million in its latest wave of Emergency Connectivity Fund program support, which the agency said will connect over 1.4 million students in all 50 states plus Puerto Rico and the District of Columbia.

The underbelly of online gossip: School-gossip Instagram accounts are providing a new forum for teen cyberbullying, The Wall Street Journal reports.

Meta pays up: Facebook is paying new employees what amounts to a brand tax to retain them, due to the companys troubled reputation, according to Business Insider.

E&C zeroes in: The House Energy and Commerce Committee is requesting briefings from search engines, web hosting companies, companies that run content delivery networks, and relevant social media platforms about websites encouraging suicide.

Haugen vs. Zuckerberg: Facebook whistleblower Frances Haugen chatted with New York Times tech reporter Kara Swisher.

A message from Save Our Standards:

Support US Jobs. Stop SEP Abuse.

A new draft policy statement on standard-essential patents (SEPs) committed for licensing on fair, reasonable, and non-discriminatory terms was released jointly by the U.S. Patent and Trademark Office, the National Institute of Standards and Technology, and the Department of Justice. The draft statement provides guidance on appropriate remedies in cases involving the use of these patents, and presents an approach to SEPs that strives to balance the interests of patent holders with the broad range of U.S. industries that use standards to protect the future of innovation.

Save Our Standards is a broad-based coalition working to end abusive practices in SEP licensing. We welcome the draft statement and support the Biden Administration for their leadership protecting U.S. competitiveness in charting out this balanced approach. Comments are being accepted through February 4. Support the Biden Administration to stop SEP abuse.

Tips, comments, suggestions? Send them along via email to our team: Bob King ([emailprotected]), Heidi Vogt ([emailprotected]), Emily Birnbaum ([emailprotected]), John Hendel ([emailprotected]), Rebecca Kern ([emailprotected]), Alexandra S. Levine ([emailprotected]) and Leah Nylen ([emailprotected]). Got an event for our calendar? Send details to [emailprotected]. And don't forget: Add @MorningTech and @PoliticoPro on Twitter.

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CI/CD platforms: How to choose the right continuous integration and delivery system for your business – TechRepublic

December 22, 2021 | Author: admin

Continuous integration and delivery platforms are paramount to the success of your development team. These are the best CI/CD platforms to check out.

Image: scyther5, Getty Images/iStockphoto

Continuous integration and continuous delivery have become mainstays in the development scene in the past few years, making them nearly a requirement for most development workflows. In recent years, new players have come into the market and brought new workflows and platforms to enable additional steps, automated testing and even automated deployment into the mix.

SEE: Hiring Kit: JavaScript Developer (TechRepublic Premium)

In this article, we'll explain what continuous integration and delivery is, discuss what CI/CD means to your company and developers, and take a look at the top platforms for continuous integration and delivery.

In the software development life cycle, developers push code into a Distributed Version Control System such as GitHub, GitLab, Bitbucket or some other platform on a self-hosted system or other system. A continuous integration platform sits in between this, looking for changes pushed into the DVCS and executes builds on the codebase when certain triggers are met. Continuous integration triggers could be based around individual code pushes to a particular branch, merge of code from a pull request or based on a time-based schedule (nightly builds, weekly builds, etc.).

The continuous delivery aspect of CI/CD allows software teams to easily and safely get builds into production environments by building code, testing the code and then getting those build artifacts into the production environment. With continuous delivery, builds are typically triggered manually or on a time-based schedule, tests suites are run and results are reported if there are any issues with the code; then afterward, artifacts are made available to ship into a production environment.

SEE:What is CI/CD? (free PDF) (TechRepublic)

Continuous integration systems are typically hosted platforms, but these can also be self-hosted systems for enterprise customers; these platforms integrate with most popular DVCS platforms, including GitHub. Being remote means that builds can be consistently triggered and don't require local development machines to be configured with secret API keys or otherwise tied up running builds.

When you have a CI/CD system in place, developers automatically have test suites run, ensuring that each merge of a pull request has passed tests, which allows multiple developers to handle the build process and delivery to production more efficiently. All of these things ultimately lead to less buggy code and can result in less wasted time around rudimentary software development tasks when that time can be better spent on the development process itself.

CI/CD is an important aspect of any modern software development workflow, and it frees developers up to not worry about implementing build workflows on their development machines or need to worry about build actions it can all be done automatically.

Image: Jenkins

Jenkins is an open-source CI/CD platform that is based on Java and is by far one of the most popular options. It has a plugin architecture that means it is infinitely expandable to meet almost any CI/CD need you may have for your software development workflow. You can build web software, native software and mobile software projects on it, and it's capable of running on nearly any server architecture including Windows, Linux and macOS. It can also be run from a Docker container, if preferred.

Jenkins has an extensive legacy, and it supports many configurations and is highly flexible; however, it does require a bit more setup time and finessing than many software teams may enjoy doing. If you're willing to put in the time and effort of initially setting up Jenkins, it can prove to be a sustainable system that can do nearly anything you need for the cost of just operating a dedicated server for it. Ongoing maintenance is another cost that should also be figured in to any Jenkins setup that you may implement.

If you're running and operating a build system platform for a security-focused application, then having a self-hosted option like Jenkins means you can more tightly control the CI/CD pipeline instead of relying on a third-party hosted service.

This platform is free and can be downloaded and installed from the Jenkins website. With any free product like Jenkins, you should always factor in the initial setup, maintenance needed and server costs associated with running your own instance of the software; depending on your needs and usage, these costs could outweigh a commercially available and hosted product like the others I cover in this guide.

Which businesses and users might benefit most from using Jenkins?

Jenkins is an excellent platform for businesses and users who prefer to run their own CI/CD platform locally on their own equipment due to security or legal precedents, who prefer to manage their own hardware and software stack, or if the software being built and tested on the CI/CD platform has specific hardware/software stack requirements.

Image: GitHub

GitHub Actions is a newer CI/CD platform from Microsoft that tightly integrates with its GitHub-hosted DVCS platform and GitHub Enterprise. GitHub Actions is built into each repository page as a tab and can be easily set up and run remotely and is included automatically on your GitHub.com hosted account or onsite enterprise accounts.

With a GitHub enterprise hosted platform, you can more tightly control your build pipeline and not worry about security risks affecting apps and systems that are hosted publicly online. GitHub Actions supports Linux, macOS, Windows and ARM runners (runners are platforms where code can be built).

Because GitHub Actions is tightly integrated with the DVCS, it can do additional things that Jenkins and other CI/CD platforms can't. GitHub Actions can also run your code test suites automatically when pull requests are made and can be added as a check to ensure that a merge can only happen if and when a test has been run and passed successfully.

Pricing for GitHub Actions starts at the free tier for hosted GitHub accounts, and then goes up based on build minutes used and storage needed. Check the GitHub Actions pricing guide for more information on how to calculate pricing based on project needs.

Which businesses and users might benefit most from using GitHub Actions?

GitHub Actions is an excellent choice if your business has already committed to using GitHub as your DVCS, has all of your code stored in GitHub, and doesn't mind your code is being built and tested remotely on GitHub's servers (though an enterprise account is available if you prefer to run on your own hardware using GitHub Enterprise). GitHub can handle most common hardware/software stacks (such as macOS, Windows and Linux), but if you need a custom software/hardware stack that GitHub doesn't support, you may need to go with another solution for CI/CD.

If you're a nonprofit, GitHub has special pricing that you may be able to take advantage of that other CI/CD platforms may not offer.

Image: CircleCI

CircleCI is known for its ease of use for getting up and running with a continuous integration build system. The company offers cloud hosting or enterprise on-premise hosting and integration with GitHub, GitHub Enterprise and Bitbucket for the DVCS provider.

CircleCI touts its 24/7 support for enterprise customers, plus extensions and re-usable integrations called "orbs" that help you get up and running quicker with the continuous build systems and allow you to customize your build environments in a way that you can't with other platforms unless you're hosting yourself.

CircleCI can work with builds for Docker, Linux, macOS, Android, Windows or self-hosted runners on a platform of your choosing. Like GitHub Actions, CircleCI has a free tier that features 6,000 build minutes per month on Docker, Windows or Linux (including Arm); if you need to build on macOS, you'll need to upgrade to the $15 per month Performance Tier that includes unlimited build minutes and macOS support. For more details, read the CircleCI pricing guide.

Which businesses and users might benefit most from using CircleCI?

CircleCI is a great choice if you're already integrated with GitHub or Bitbucket and prefer a more straightforward pricing model instead of being charged by build minutes like other hosted platforms. CircleCI also integrates with the most common runners like macOS, Windows and Linux; plus, it provides an enterprise license if you prefer to integrate with your own hardware and infrastructure. Like GitHub Actions, if you need to build and test on a specific hardware or software stack, CircleCI may not work for you instead, you might need an alternative solution like Jenkins.

Feature

Jenkins

GitHub Actions

CircleCI

Pricing

Freely available

Linux $0.008/minmacOS $0.08/minWindows $0.016/min

Free plans to $15 per month, and enterprise options available

Support available

No

Yes

Yes

Self-hosted or on-premise hosting

Yes

Yes

Yes

Build environments supported

Docker, and any platform that can install Jenkins with a Java environment

Linux, macOS, Windows, Arm and containers

Docker, Linux, macOS, Windows, GPU and Arm

Jenkins, GitHub Actions and CircleCI are the strongest CI/CD platform options in the industry right now, and you really can't go wrong with any of them. Each of these CI/CD platforms has advantages and disadvantages depending on what your development team needs. These packages present myriad options available from self-hosted to cloud-based and a variety of supported platforms.

For longevity and hassle-free use, I recommend going with a cloud-based solution like GitHub Actions or CircleCI, but for a more security-conscious or do-it-yourself solution, Jenkins can't be beat.

From the hottest programming languages to the jobs with the highest salaries, get the developer news and tips you need to know. Weekly

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3DS OUTSCALE, French leader guaranteeing fully-trusted Cloud around the world – Yahoo Finance

December 22, 2021 | Author: admin

- 3DS OUTSCALE's expansion strategy goes global

- A trusted multi-local Cloud, guaranteeing data sovereignty and security in accordance with local regulations

PARIS, Dec. 20, 2021 /CNW/ -- French pioneer of cloud computing and the first to believe in IaaS in France, 3DS OUTSCALE, a subsidiary of Dassault Systmes, always seems to be one step ahead. 3DS OUTSCALE is committed to meeting the highest compliance requirements by having its organisation and infrastructure certified by trusted third parties. The company was recently awarded the SecNumCloud qualification by the the National Cybersecurity Agency of France. To remain state-of-the-art, this technological flagship relies on technological excellence, but also on human values such as solidarity, ethics, social responsibility and equality. It is with the aim of extending its French knowledge beyond the country's borders that 3DS OUTSCALE continues its global development.

3DS OUTSCALE Logo

3DS OUTSCALE is accelerating its strategy to conquer the international market

Spending on public cloud services is expected to account for 14.2% of global IT spending in 2024 according to a Gartner report. In fact, 3DS OUTSCALE's desire for strong acceleration reflects this outlook.

A few months after the opening of its Asian hub, OUTSCALE K.K, which enabled the deployment of its offer in three data centersaround Tokyo, 3DS OUTSCALE is asserting its strong desire to export beyond the French borders. By creating companies on each of the target markets, 3DS OUTSCALE guarantees data sovereignty and security in accordance with local regulations in the country where the companies are based. This is the continuation of the promise to be a multi-local trusted cloud.

With Trusted Cloud labelling, 3DS OUTSCALE relies in particular on its state-of-the-art technology and its certifications which correspond to the most rigorous standards.

Finally, 3DS OUTSCALE is also developing its own orchestration software, TINA OS, guaranteeing complete control of the Cloud. This software is designed to orchestrate and automate all of the Cloud resources.

Story continues

David Chassan, Chief Strategy officer at 3DS OUTSCALE comments: "The adoption of Cloud Computing and the huge potential for the growth of the global market puts us in a strong position. We want to make 3DS OUTSCALE the reference in terms of sovereign and trusted Cloud, for private or public organisations who want to ensure that their data is stored in complete security. Our internationalisation proves that we are aware of the innovations that form our ecosystem today. This approach fosters the ambition to meet the needs of the markets addressed as well as possible, but also to identify the promising technologies of tomorrow."

About 3DS OUTSCALE

3DS OUTSCALE, Dassault Systmes' Cloud subsidiary, places trust at the heart of its raison d'tre by being a multi-local Cloud Computing player. Since 2010, 3DS OUTSCALE has been committed to a responsible vision of its technologies that inspire start-ups, software companies, enterprises and institutions to innovate in a way that respects current and future generations. Its mission to provide hyper-trusted Cloud services is reflected in its promise to satisfy the highest market requirements, such as the SecNumCloud qualification issued by ANSSI in 2019, making 3DS OUTSCALE the first Cloud provider to offer highly secure infrastructure services. This commitment is also supported by services and an organisation that is fully certified for security and information management in the Cloud (ISO 27001-27017-27018), and for Health Data Hosting (HDH). As a guarantor of the hyper-trusted Cloud in Europe, America and Asia, 3DS OUTSCALE offers a partitioning of the Cloud regions and supports strategic digital autonomy in Europe as a founding member of GAIA-X. Driven by the talents of its employees, 3DS OUTSCALE is the first Cloud provider to be committed to and awarded the CSR LUCIE ISO 26000 label for its sustainable, responsible and inclusive actions.

Web: https://en.outscale.com/

LinkedIn: https://www.linkedin.com/company/outscale

Twitter: https://twitter.com/outscale

OUTSCALE, TINA, Cloud Days, Scaledome, Scalebox and their respective logos are registered trademarks of Outscale SAS in France, the USA and/or other countries.

Cision

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SOURCE 3DS OUTSCALE

Cision

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AMERICANS SPENT OVER $8.7 BILLION ON AESTHETIC PLASTIC SURGERY IN THE FIRST 6 MONTHS of 2021 – KPVI News 6

December 22, 2021 | Author: admin

GARDEN GROVE, Calif., Dec. 21, 2021 /PRNewswire/ -- The Aesthetic Society has released its 2022 predictions detailing what aesthetic plastic surgery trends are expected in the coming year. With more than 2,600 board-certified plastic surgeons comprising its membership, The Aesthetic Society is at the forefront of research, education, and what lies ahead for the aesthetic industry. Insight from its members includes specific trends persisting from the onset of the COVID-19 pandemic, more procedures performed at once to quell demand, and young patients requesting procedures that are popular among middle-aged adults.

According to data from Aesthetic Society members using the Aesthetic Neural Network(ANN) data, powered by Ronan Solutions, from January 1, 2021-July 1, 2021, Americans spent over $8.7 billion on aesthetic plastic surgeryhinting that 2021 may close the year in record-breaking revenue numbers. In 2020, Americans spent over $6 billion on aesthetic surgical procedures and over $3 billion on nonsurgical aesthetic procedures. After an unprecedented year in 2020, including restrictions on elective procedures, the aesthetics industry has seen a spike in demand for plastic surgery that has yet to subside.

"2021 was a unique year for our specialty given the COVID-19 pandemic and adjusting to the various changes it caused," says William P. Adams, Jr., MD, President of The Aesthetic Society. "Demand is stronger than ever and likely won't let up in the new year. Still, our members are an elite group using the safest, most advanced techniques. 2022 will give our membership even more opportunity to provide the safest care to the growing patient population."

2022 Plastic Surgery Predictions:

Blepharoplasty was the top surgical procedure among 5080-year-olds from January 2021- July 2021. Yet, Aesthetic Society member surgeons predict younger women pursuing eyelid surgery or blepharoplasty in 2022a possible effect of the virtual meeting boom. Aesthetic Society members project the ubiquity of virtual meetings will continue to motivate patients to seek facial procedures to resolve issues they may not have noticed before, seeking out surgical and nonsurgical skin treatments.The leading nonsurgical treatment in the first 6 months of 2021 were neurotoxin injections, making up 54.25% of the top 5 nonsurgical procedures.

Top 5 Non-Surgical Procedures (Toxins, Fillers, Energy)

Top 5 Surgical Procedures

About The Aesthetic Society:

The Aesthetic Societyis recognized as the world's leading organization devoted entirely to aesthetic plastic surgery and cosmetic medicine of the face and body. The Aesthetic Society is comprised of more than 2,600 members in North America and internationally; Active Members are certified bythe American Board of Plastic Surgery (USA) or bythe Royal College of Physicians and Surgeons of Canada and have extensive training in the complete spectrum of surgical and non-surgical aesthetic procedures. International Active Members are certified by equivalent boards of their respective countries. All members worldwide adhere to a strict Code of Ethics and must meet stringent membership requirements. The Aesthetic Society is at the forefront of innovation in aesthetic plastic surgery and cosmetic medicine globally.

Visit our website:www.theaestheticsociety.org

Follow The Aesthetic Society on social:

Twitter

Facebook

Instagram

About Ronan Solutions

Ronan Solutions is a joint venture between two technology companies ANZU, a Healthcare IT company, and Iron Medical Systems, an expert in cloud hosting and security. Both companies have combined their technical expertise and access to key stakeholders in the environment to create the Ronan Solutions Aesthetic Medicine dataset and data visualization system.

The Aesthetic Society

https://www.theaestheticsociety.org/

Media contact:sarah@theaestheticsociety.org

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Fraud Detection and Prevention Market worth $53.4 billion by 2026 – Exclusive Report by MarketsandMarkets – PRNewswire

December 22, 2021 | Author: admin

CHICAGO, Dec. 16, 2021 /PRNewswire/ -- According to a research report "Fraud Detection and PreventionMarketby Solution (Fraud Analytics, Authentication, and GRC), Service (Managed and Professional), Vertical (BFSI, Retail and eCommerce, and Travel and Transportation), Deployment Mode and Region - Global Forecast to 2026", published by MarketsandMarkets, the FDP Market is expected to grow from USD 22.8 billion in 2021 to USD 53.4 billion by 2026 at a CAGR of 18.5% during the forecast period.

Technological advancements, penetration of digital technologies, and Bring Your Own Device (BYOD) trend in organizations have greatly influenced work practices and led to an unprecedented rise in data volumes. These factors have led to the adoption of automatic software-based applications for analyzing data in real time, which have replaced the traditional data mining applications and tools. This, in turn, increases the need to update legacy manual fraud detection methods. Hence, FDP vendors are producing new varieties of FDP solutions to detect and prevent all types of frauds committed by fraudsters.

Browse in-depth TOC on"Fraud Detection and Prevention Market"

493 Tables

46 Figures

381 Pages

Download PDF Brochure: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=1312

By component, Solutions segment to hold the largest market size during the forecast period

On the basis of solutions, the FDP Market is segmented into fraud analytics, authentication, and GRC solutions. The demand for FDP solutions is increasing as they can help enterprises detect fraudulent activities and prevent their occurrence. The number of frauds is growing at a significant rate; however, it is the surge in revenue loss which is driving the demand for FDP solutions. These FDP solutions can work simultaneously to provide fraud-proof enterprise environments.

Money launderers or criminals may forge fake signatures and Identifications (IDs) to commit digital frauds using someone's identity. FDP solutions help in reducing digital frauds, illegal transactions, tax evasion attempts, and other payment corruptions by identifying and detecting fraudulent activities in the system and reporting them to assigned authorities on time.

In deployment mode, cloud deployment to grow at a higher CAGR during the forecast period

According to Flexera, a computer software company, enterprises are set to spend around 15-16% of their revenue into cloud hosting services by 2020. Another study by Cisco stated that "53% of organizations host at least 50% of their infrastructure in the cloud." The investment in cloud services and shifting of businesses from traditional to cloud are expected to accelerate the adoption of cloud-based solutions and services by enterprises. Owing to the increasing pace of digitalization, security breaches and fraud cases especially identity theft and online fraud has also increased. These increasing trend of eCommerce and online retail and digital payments has increased the adoption rate of online FDP solutions among end-user verticals to combat with fraud and compliance intruders.

Request Sample Pages: https://www.marketsandmarkets.com/requestsampleNew.asp?id=1312

North America to hold the largest market size during the forecast period

North America is expected to be the largest contributor in terms of the market size in the FDP Market. It is one of the most affected regions in the world by money laundering and terrorist financing crime activities; as a result, it has the highest number of FDP providers. Banks, governments, and financial institutes in this region face ever-increasing challenges related to frauds compelling them to implement advanced technological approaches for managing fraud protection. Further, organic and inorganic growth strategies among major FDP vendors are expected to drive the FDP Market growth in North America. For example, in July 2020, NewDay, a financial services company partnered with RSA Security, financial crime prevention and predictive analytics company, to deliver advanced fraud protection for digital payments and address the requirements of the EMV 3-D Secure protocol.

Key Players:

Major vendors in the global FDP Market include BAE Systems (UK), Nice Actimize (US), FICO (US), LexisNexis (US), TransUnion (US), Kount (US), Software AG (Germany), RSA Security (US), Fiserv (US), FIS (US), ACI Worldwide (US), Experian (Ireland), SecuroNix (US), Accertify (US), Feedzai (US), CaseWare (Canada), FRISS (Netherland), MaxMind (US), Gurucul (US), DataVisor (US), PayPal (US), Visa (US), SAS institute (US), SAP SE (Germany), Microsoft Corporation (US), F5, Inc (US), Ingenico (France), AWS (US), PerimeterX (US), OneSpan (US), Signifyd (US), Cleafy (Italy) and Pondera Solutions (US). It also includes an in-depth competitive analysis of the key FDP Market players, along with their company profiles, business overviews, product offerings, recent developments, and market strategies.

Browse Adjacent Markets:Information Security Market ResearchReports & Consulting

Related Reports:

Anti-money LaunderingMarket by Component, Solution (KYC/CDD and Watchlist, Transaction Screening and Monitoring), Deployment Mode, End User (Banking and Financials, Gaming/Gambling Organizations), and Region - Global Forecast to 2025

eGRCMarket with COVID-19 by Offering (Software and Services), Software (Usage and Type), Type (Policy Management, Compliance Management, Audit Management, and Risk Management), Business Function, End User, and Region - Global Forecast to 2026

About MarketsandMarkets

MarketsandMarkets provides quantified B2B research on 30,000 high growth niche opportunities/threats which will impact 70% to 80% of worldwide companies' revenues. Currently servicing 7500 customers worldwide including 80% of global Fortune 1000 companies as clients. Almost 75,000 top officers across eight industries worldwide approach MarketsandMarkets for their painpoints around revenues decisions.

Our 850 fulltime analyst and SMEs at MarketsandMarkets are tracking global high growth markets following the "Growth Engagement Model GEM". The GEM aims at proactive collaboration with the clients to identify new opportunities, identify most important customers, write "Attack, avoid and defend" strategies, identify sources of incremental revenues for both the company and its competitors. MarketsandMarkets now coming up with 1,500 MicroQuadrants (Positioning top players across leaders, emerging companies, innovators, strategic players) annually in high growth emerging segments. MarketsandMarkets is determined to benefit more than 10,000 companies this year for their revenue planning and help them take their innovations/disruptions early to the market by providing them research ahead of the curve.

MarketsandMarkets's flagship competitive intelligence and market research platform, "Knowledge Store" connects over 200,000 markets and entire value chains for deeper understanding of the unmet insights along with market sizing and forecasts of niche markets.

Contact:Mr. Aashish MehraMarketsandMarkets INC.630 Dundee RoadSuite 430Northbrook, IL 60062USA: +1-888-600-6441Email: [emailprotected]Research Insight: https://www.marketsandmarkets.com/ResearchInsight/fraud-detection-prevention-market.asp Visit Our Website: https://www.marketsandmarkets.com Content Source: https://www.marketsandmarkets.com/PressReleases/fraud-detection-prevention.asp

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