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Findability Sciences Named Microenterprise Business of the Year – PR Newswire

May 4, 2022 | Author: admin

Boston-based firm is empowering enterprises to utilize Artificial Intelligence to solve critical business challenges

BOSTON, May 2, 2022 /PRNewswire/ -- The Small Business Administration (SBA) has named Findability Sciences the 2022 Microenterprise Business of the Year for Massachusetts. The Massachusetts District Small Business Administration announced its list of honorees, with Findability Sciences among the list of highly esteemed small businesses. There are approximately 32.5 million small firms in the USA, comprising 99.9% of the firms in the country. These enterprises drive significant economic progress for the nation.

Findability Sciences earned the recognition as a global provider of enterprise Artificial Intelligence (AI) solutions, demonstrating exponential sales growth in sectors such as manufacturing, telecom, retail, professional services, financial services, and government.

"As a first-generation immigrant entrepreneur, Mr. Anand Mahurkar has demonstrated an inspirational spirit to succeed," said District Director Robert Nelson. "Through persistence, hard work and expertise with technology and innovation Anand's story is a remarkable example of the entrepreneurial spirit."

Hailing from a small town in India, CEO and Founder Anand Mahurkar founded Findability Sciences to enable traditional enterprises the ability to harnesses the power of data, cognitive computing and AI to solve complex and critical business challenges. The company's proprietary offering, the Findability.ai Platform, enables organizations from diverse geographies and industries, to build their own intellectual property (IP) and data science capabilities while executing strategically to derive real financial return on investment.

"I am happy, humbled, and excited to receive this award on behalf of Findability Sciences," said Mahurkar. "The win for Findability Sciences further showcases the power of AI and its ability to help organizationsremain relevant and profitable as the technology arms race heats up. Also, I am so proud of the entireFindability Sciences team a group of innovative and creative professionals who have been instrumental in fostering the success of our company."

An expert in big data and contextual data technologies, Mahurkar has built a well-respected 30-year career in the innovation and technology sector. As a first-generation entrepreneur and immigrant to the United States, Mahurkar has been determined to build his own venture in advanced technology. His entrepreneurial spirit, persistence, and consistency helped him establish Findability Science and in 2017, Mahurkar led the company into a joint venture with Softbank K.K. Soon thereafter, Findability Sciences announced series A funding by Softbank K. K. to address the growing needs of the Japanese market.

Over the years, Mahurkar hasreceived many awards and accolades. In 2014, he served on the IBM Watson Ecosystem Partner Advisory Board and was named a Big Data Hero for IBM Big Data Magazine. Mahurkar has also served as a member of the Forbes Technology Council an invitation-only community of leading Tech Visionaries who contribute to thought leadership content in Forbes magazine. Additionally, Financial Timesrecognized Findability Sciences as one of the fastest-growing companies in the U.S. in 2021.

Currently, Mahurkar is a Charter Member of TiE Boston, where he is responsible for mentoring budding entrepreneurs. In December 2021, Mahurkarwas honored with the International Achiever Award at Indian Achiever's Forum and was recognized for his outstanding and professional achievements in technology on the global level.

Mahurkar and Findability Sciences will be honored at the annual SBA Massachusetts Small Business Week Awards event on Thursday, May 5th, 2022 at the Newton Marriott.

About Findability SciencesAn award-winning Enterprise AI company that harnesses the power of data, cognitive computing and AI to drive digital transformation in traditional enterprises by making them data superpowers. The company's proprietary offering, Findability.ai Platform, enables customers to build their own IP and data science capabilities while executing strategically to derive real financial ROI. Customized solutions have driven critical projects such as: Conversational Computing, Advertisement Efficacy Analyzer, Assessing Propensity to Pay, Forecasting apartment rentals and occupancy, supply chain optimization, and more.

Findability Science has been a Softbank KK Portfolio Company and JV Partner since 2018. As a leader in Enterprise AI, Findability Sciences's IP holdings include multi-modeling, low code prediction algorithms, NLP and Computer Vision among others. Headquartered in Boston, MA, with offices across the United States, Japan, Canada, India and the UK, the company has been serving global customers across Manufacturing, Telecom, Retail, Professional Services, Financial Services and the Government. https://findability.ai

Media Contacts:Michele NachumFirecracker PR for Findability Sciences[emailprotected]+1-425-698-7477

Kavita RaoChief Marketing Officer[emailprotected]+91-95021-53653

SOURCE Findability Sciences

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Intelligent edge: The future of cloud computing? – ITWeb

May 4, 2022 | Author: admin

The intelligent edge refers to the collection and analysis of data where the data is generated. It could be the point where a user such as a mobile worker is doing their job, or an IoT device attached to industrial equipment is generating data. The data is collected, processed and analysed at this remote point, meaning the intelligence sits on the edge of the organisations IT architecture. This decentralisation of storing data, processing and intelligence capabilities takes much of the workload away from the central processing hub, datacentre or cloud.

Edge computing is a powerful enabler when its injected with intelligence to enhance its potential for disruption and enrich the value of the data captured at its proverbial source, says Scott Cowling, director, network solutions at BT. The sheer volume of data created through the IoT, where information is streamed from sensors to optimise operations, makes this intelligence a business imperative.

For Hanno Brink, machine learning engineer at Synthesis, the technical challenge that the intelligent edge is trying to solve is the efficient use of resources, increasing robustness, and reducing cost of implementation and management of this technology.

There are many benefits that could be unlocked if this technology is applied correctly. One is the reduction in latency between when data is collected and acted upon, which has applications such as predictive maintenance, fleet maintenance, and many others where real-time visibility and responsiveness would aid in reducing operating costs or improving service delivery.

Another would be that intelligent applications delivered to customers where limited bandwidth or connectivity has previously prevented such, or where data from customers hasnt been easily collected and operationalised. This technology could also be used to collect data that wasnt previously accessible, due to the cost of implementation, and to provide new customer experiences or improve current service delivery by using intelligence where the customer is interacting with it.

Forresters 2021 Build integrated technology platforms to accelerate growth and agility report tells IT leaders: In this stage of technology maturity, innovate with technology to serve customers across the entire customer lifecycle, mastering systems of engagement and insight.

This is precisely what the intelligent edge allows us to do, says Varsha Ramesar, managing executive, data and analytics at iOCO. From a technology perspective, the intelligent edge has several benefits, including reduced dependency on network performance, and allows the business to increase its bottom line by reducing overhead expenses. What organisations must bear in mind, though, is that the real value of the intelligent edge lies in how it can expand and amplify a companys ability to sense and respond with greater speed and agility whether thats in the context of predictive maintenance, or customer service.

Navinder Singh, GM at In2IT Technologies, says edge computing emerged in the past few years driven by a few technology companies that developed the technology. When the intelligent cloud arrived, it was a major innovation as it helped to overcome some of the fundamental issues of cloud computing such as latency, bandwidth requirements and cost containment. In the past year, cloud providers have been accelerating intelligent cloud offerings, where data that sits on the edge with intelligence built into it can still interact with, and relay, to and from the cloud.

In addition, he says investment into the edge has changed its potential and scope. If we look at the intelligence incorporated into edge devices, were seeing advancements that align with cloud strategies and one of the most challenging elements integration with the cloud. The intelligence is creating seamless integration of applications into the cloud through AI. For instance, companies are often compelled to integrate their CRM and ERP solutions with cloud service providers, yet theres a lot of effort required from resources for these applications to achieve seamless integration. AI gathers information from the edge applications and as the integration requirements are predefined, this simplifies the integration process significantly and, as a result, reduces costs. It also eliminates bottlenecks where processing and analysis was conducted centrally with data alignment across multiple applications. Processing becomes faster and more efficient.

Moving data and compute closer to the edge also means that this infrastructure is moving further away from your control, and it becomes vastly more exposed.

Hanno Brink, Synthesis

However, like any other technology that is, relatively speaking, in its infancy, the intelligent edge is not without its challenges. Brink says these include creating more efficient hardware, creating more compute-efficient AI, looking at more efficient ways to manage limited bandwidth and storage resources, securing the edge, distributing machine learning to the edge to preserve privacy, and overcoming myriad challenges presented by implementing systems that interact with the real world.

Various proof-of-concept and proof-of-value projects have proven the ROI and business benefits of intelligent edge deployments that bring AI and ML to edge environments, adds Ramesar. However, the challenge now is determining how to scale these deployments to hundreds or thousands of sites so that organisations can take full advantage of the business-critical data they are generating at the edge. Before businesses can realise the benefits of the edge and embark on their industrial digital transformation, they must consider their data. The volume and velocity of data is growing astronomically, and availability is key. To support these applications and use cases, sensor and related contextual data must be ingested, processed, and analysed in the right place, at the right time and provided to the right people.

For Cowling, one of the main concerns at the edge, and one of the biggest barriers to the deployment, is cybersecurity. Increasingly the edge becomes a point of convergence between two worlds: operational technology (OT), including industrial systems that run equipment in factories, refineries and mines, and IT. Industry 4.0 solutions like predictive maintenance need data from both worlds, such as SCADA from OT and ERP from IT.The OT world is highly vulnerable to cyber-attacks, the vast majority of which come from IT and has traditionally relied on security through obscurity and air gaps. Once you join the dots, critical processes become vulnerable because they run on old proprietary software, with poor password protection, limited patching, and no authentication. Identifying and mitigating vulnerabilities therefore becomes a major focus area.

When it comes to securing the intelligent edge, Brink says the most crucial component of any edge application is making sure that your application is secured from the device, all the way up to the cloud, and back again. Moving data and compute closer to the edge also means that this infrastructure is moving further away from your control, and it becomes more exposed. Any such application must be designed with security top of mind.

Over and above data security, physical security and reliability also become factors that must be considered and appropriately balanced with functionality. In addition, secure physical devices should be used, and these devices should be robust against the extreme environments that they may operate in.

Organisations should make sure that systems can scale effectively while also ensuring a consistent security implementation, and need to define an organisational root of trust. This is a way for edge devices to authenticate themselves to the company, and prevents privileged systems from being impersonated and their access abused.

Security and privacy risks can be reduced by limiting data flows between the point of collection and the core infrastructure, particularly when those flows happen over the public internet, adds Cowling. Using the intelligent edge helps businesses to adhere to in-country data protection laws. It keeps sensitive data within the device, anonymising and analysing at source rather than sending identifiable information to the cloud.

Secure access service edge, or SASE, is also key to bringing together connectivity and network security into a single policy-driven service that provides consistent, centrally managed access and security from edge-to-edge. SASE also supports a zero trust approach to the cloud and underlying infrastructure, meaning sessions are protected regardless of where the edge device is connecting from.

As we move closer to cloud and hybrid cloud environments, the benefits that the intelligent edge deliver make it a compelling technology procurement decision.

Navinder Singh, In2IT

Securing the edge is not just daunting, it can seem downright impossible, considering the unprecedented number of devices on the network, generating data every second of the day, all of which needs to be ingested, transformed, and analysed by compute platforms in the wild, and all needing to be locked down.

Surprisingly, many IT professionals think of security as securing perimeters and implementing robust access control. However, security in today's era of edge and cloud is so much more complicated. With the explosion of IoT, and Industrial IoT in particular, the attack surface has increased, as has the number of attack vectors. Since edge computing is a distributed model, its security concerns are very different from a centralised model. To save costs and speed up deployment, many edge devices dont encrypt data natively, and IT managers need a security framework in place before the large-scale rollout of edge projects, says Ramesar.

Ultimately, as we move closer to cloud and hybrid cloud environments, the benefits that the intelligent edge deliver make it a compelling technology procurement decision, says Singh. It helps in streamlining the business processes, data alignment across multiple applications, easy integrations and more. Its also all about the business optimising its operations and driving efficiency, and in an era of always on and instant gratification, the intelligent edge is the way to go.

* This feature was first published in the May edition of ITWeb's Brainstorm magazine.

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The data ditch: what is it and how to avoid it – TechNative

May 4, 2022 | Author: admin

An increasing number of businesses are investing in their data maturity to place them in prime position to make wiser and more expansive use of their data.

In doing so, many stumble across the data ditch a metaphorical void of untapped potential, impacting businesses that have mastered data collection but cannot yet use this data to underpin all decision-making.

Arecent surveyby Calligo and Fivetran found that over half of SMEs and enterprises across Europe and North America are stuck in this data ditch today. The benefits of overcoming this stage are significant a third of respondents that are already on the other side report a 33 percent uptick in productivity, a 68 percent increase in profitability, and 21 percent higher staff retention rates.

Yet the data ditch does not have to be a lengthy stopping point on organisations data maturity journeys. To explain what can be done to climb out of the ditch, we must first look at how businesses can spot when they are in it.

How do we spot the data ditch?

Data is at the heart of every business decision, whether its highlighting areas that need to be improved or showing what products are most popular amongst customers. It stands to reason, therefore, that when data is not being used to its full potential, the impact will strike all aspects of the business such as speed to market, customer satisfaction, employee retention, security and profitability.

The tell-tale signs that an organisation is in the data ditch also permeate all departments and aspects of business operations, and include:

1. Nobody owns data governance, data management is not aligned to corporate strategy

2. The company has data ethics and privacy initiatives in place, but no standardised framework and lack of privacy by design culture

3. The IT architecture is centralised but planning remains project-based or reactive

4. Collaboration tools exist but users still dont have a unified view of insights

5. Data analysts cannot yet take advantage of automation, AI and ML

It is important that business and technology leaders have meaningful conversations about these areas and usethe toolsavailable to them to identify inefficiencies in their operations so that they can enforce the changes needed to mitigate them.

How to climb out of the data ditch

Its clear that although most companies have invested in technologies and processes to turn data into a competitive differentiator, they are still not getting enough bang for their buck. The good news is that they are in the final mile, where even small process improvements can catalyse data-driven innovation and increased profitability.

In order to become completely data-driven they need to focus more on the following key areas:

Data governance

Introducing data leaders who can oversee that data is structured, properly stored, treated and protected so that everyone in the business can trust the data to make decisions is the first step for businesses wanting to boost their data maturity. More mature, data-driven organisations have formalised, automated data management processes that are fully aligned to support overall business performance.

Data ethics

Next, its crucial that businesses have a detailed understanding of every source and type of data, workflows and purposes. Businesses that want to progress in this regard must routinely, first and foremost consider data ethics and privacy against all of their data processing initiatives.

IT security

The more expansive the data sources are, the more exposed businesses can be to security threats such as phishing attacks, data leaks and zero-day vulnerability exploits. Indeed, many businesses found remote working a challenge as employees had access to swathes of data in their own homes and on personal devices where it was harder to keep secure. Introducing security committees to ensure correct processes are implemented and continuously reviewed will help businesses stay vigilant and secure in the face of new threats.

IT architecture

Resilient businesses place IT architecture at the core of their organisational strategy to better plan their objectives. Planning and allocating funding on a project-by-project basis will stunt the growth of businesses and limit their adaptability to changes in the long run. Proactive planning and the provision of technology resources that support ambitious use of data securely and efficiently will set businesses up for consistent growth.

Data insights

A common mistake data-hungry businesses make is hiring data analysts to take advantage of AI and machine learning, only to find that underlying data processes make it impossible to build effective prediction engines on top of it. To make data insights available for the wider workforce, businesses need to democratise access to it by dismantling information silos and removing the manual data pipeline maintenance burden currently costing businesses over$500,000 a year. Automating the data integration process will enable data professionals to focus on value-added tasks and maximise the potential of AI and ML.

Whats next?

Businesses often view themselves as digitally mature because of their technology investments, but money alone wont help them climb out of the data ditch thats a matter of careful data architecting, robust privacy and security processes and adequate accessibility in all corners of the organisation. Adopting a steadfast and secure strategy, that invites employees across departments to maximise the potential of data has never been more paramount or easier done! The time to be proactive and take those first crucial actions to becoming data-driven is now.

About the Author/s

Alex James is Vice President of Global Customer Support at Fivetran. As a global leader hisaccomplishments span more than 15 years in strategy and execution, customer support and successmanagement, product development, solution deployment and leading-edge technical sales.

Tessa Jones is Vice President of Data Science Research and Development at Calligo. She uses nearly20 years of experience in the industry to apply the scientific method to a range of interesting andchallenging problems. She has a rich history of developing useful data science models that aremeaningful to business users.

Featured image: Green Butterfly

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The Cloud 100 List: Submit Your Company To Join The Cloud’s Best And Brightest In 2022 – Forbes

May 4, 2022 | Author: admin

Cloud 100 nominees will have the chance to join current and past standouts such as Guild Educations Rachel Carlson, Airtables Howie Liu and Canvas Melanie Perkins, as well as alumni Ben Chestnut of Mailchimp and Ragy Thomas of Sprinklr.

Think your company has was it takes to hold its own with the best and brightest in the cloud? Submissions for the Forbes Cloud 100 list for 2022 are now open through May 21.

Produced in partnership with Bessemer Venture Partners and Salesforce Ventures for the seventh year, the Cloud 100 list honors the fastest-growing and strongest private cloud companies in the world, from recent rocket ships to decades-old stalwarts.

A quantitative and qualitative list, the Cloud 100 factors in financial metrics, reputation and culture to determine the industrys leading players. Nominated companies submit data (within supplied ranges) to be evaluated confidentially on valuation, revenue and growth rate to generate a financial score. That score is factored in alongside a people and culture score derived from several third-party sources, and a market leadership score determined by several dozen public company CEO peers. (Some of who are now list alumni themselves.)

Unseating last years No. 1 Stripe, the payments business valued at $95 billion, wont prove easy. But as 17 companies from the 2020 list went public before the 2021 edition, several members of last years list have already graduated out of eligibility from the list, including No. 4 HashiCorp and No. 5 Toast. The 2022 list will look to build upon the 34 newcomers who cracked the Cloud 100 ranks the previous year.

With a combined market value of more than $500 billion in 2021, the Cloud 100 lists bar does get higher each year, with typical list members making meaningful revenue and carrying valuations approaching or surpassing $1 billion. But raising money from venture capital is not a requirement to appear on the Cloud 100 list. Candidates must be private and not majority owned by another company.

In addition to the top 100, Forbes and its partners collaborate on the Cloud 100 Rising Stars, a list of cloud computings up-and-comers. List stalwart Canva started as a Rising Star. Eligible companies have raised $25 million or less in total funding and are evaluated on their financials, marketing, leadership, people and culture in an unranked top 20.

Forbes publishes the complete list, deep dives like last years profile of design software standout Figma and much more each August. The lists partners host an event for list makers later in the year. Nominate your business, or one you believe deserves consideration, at thecloud100.com.

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The Global Cloud Computing Market is expected to grow by $ 25.41 bn during 2022-2026, accelerating at a CAGR of 14.04% during the forecast period -…

May 4, 2022 | Author: admin

ReportLinker

Global Cloud Computing Market In Government Sector 2022-2026 The analyst has been monitoring the cloud computing market in the government sector and it is poised to grow by $ 25.

New York, April 27, 2022 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Global Cloud Computing Market in Government Sector 2022-2026" - https://www.reportlinker.com/p05372326/?utm_source=GNW 41 bn during 2022-2026, accelerating at a CAGR of 14.04% during the forecast period. Our report on the cloud computing market in the government sector provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.The report offers an up-to-date analysis of the current global market scenario, the latest trends and drivers, and the overall market environment. The market is driven by increased cross-functional service, growing demand for cloud computing to decrease IT expenditure, and rising demand for the OPEX model.The cloud computing market in government sector analysis includes product segment and geographic landscape.

The cloud computing market in the government sector is segmented as below:By Product Hardware Software Services

By Geographical Landscape North America Europe APAC South America The Middle East and Africa

This study identifies the rising demand for cloud-based security as one of the prime reasons driving the cloud computing market in government sector growth during the next few years. Also, increasing demand for internet quality and IOT and relocation of big data will lead to sizable demand in the market.

The analyst presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters. Our report on the cloud computing market in the government sector covers the following areas: Cloud computing market in government sector sizing Cloud computing market in government sector forecast Cloud computing market in government sector industry analysis

This robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading cloud computing market in government sector vendors that include Alphabet Inc., Amazon.com Inc., AT and T Inc., Capgemini Service SAS, CGI Inc., Cisco Systems Inc., Citrix Systems Inc., Dell Technologies Inc., Equinix Inc., Fujitsu Ltd., Hewlett Packard Enterprise Co., Informatica LLC, International Business Machines Corp., Lumen Technologies Inc., Microsoft Corp., NEC Corp., NetApp Inc., NTT DATA Corp., Oracle Corp., Salesforce.com Inc., SAP SE, and VMware Inc. Also, the cloud computing market in the government sector analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to an analysis of the key vendors.

The analyst presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive research - both primary and secondary. Technavios market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.Read the full report: https://www.reportlinker.com/p05372326/?utm_source=GNW

About ReportlinkerReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.

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With cloud, this unicorn is saving time, cost and human resources – ETCIO

May 4, 2022 | Author: admin

The last two years have shown that cloud-agnostic organizations faced more brunt in terms of ensuring a smooth BCP when compared to companies who were the early adopters of the cloud. On the other hand, the new age companies that were born in the cloud were not worried about ensuring their operations in such situations.

For jobs and professional networking platform Apna, cloud computing has been an integral part since its inception in 2019.

We run all our workloads on the cloud to leverage the increase in data consumption and smoothen the entire data sharing and accessing experience of users, said Suresh Kumar Khemka, Head of Platform Engineering & Infrastructure, Apna.

By delegating most of our workload responsibility to a cloud provider, we can more efficiently run, virtualize computing resources and enhance daily business operations. Additionally, we leverage the best brand solutions from other vendors to address any specific work needs. Thanks to our acclimatization to the cloud, we have been able to save time, cost and human resources for major organizational tasks while leaving the management and maintenance of IT infrastructure with the service provider, said Khemka.

While vetting the public cloud providers, Apna considered three parameters ease of use, completeness of solution and skill availability. Besides providing core services, our service provider goes the extra mile to add more value to the user experience. We have been able to seamlessly scale up or scale down IT functions as per our business needs, without having to invest hefty amounts in physical infrastructure.

For a company whose 100 percent workloads are hosted on the cloud, optimising cloud costs is something which they have learned to manage smoothly along their journey. Talking about the same, Khemka said the biggest reason why cloud costs highly escalate for many organizations is because they adopt the cloud with the existing mindset of utilizing hardware in a data centre.

Businesses have a view of different cloud costs and choosing the right solution and toolset to manage cloud costs is the real challenge. They should keep a check on the data they are storing and mitigate the chances of bloated cloud environments with data. Moreover, data lifecycle policies can also help in saving money by ensuring unnecessary data is not stored in higher-cost storage classes, he added.

He also pointed out that business policies should focus on moving data from one storage class to another on the public cloud, once its requirements have been fulfilled.

Apna uses FinOps and unit costing to manage its cloud costs. We proactively look at our design and architecture, monitor costs closely and have built in-house solutions to monitor the cost, alongside solutions offered by multiple vendors, Khemka maintained.

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The future of cloud convergence and the three P’s – Embedded

May 4, 2022 | Author: admin

There is a need to evolve our relationship with the cloud specifically for the device world. Lets call that the three Ps: perception, packaging, and process.

Cloud technology has already made major impacts to our everyday life. We take for granted that we can hail a ride, stream live sports broadcast or jump onto video meetings via a mobile device from any place in the world. The mechanics of how that works is hidden and we barely notice that its the cloud that has enabled these services.

Day-to-day, we dont think about all the on-demand computing power and storage which cloud technology provides we just go about our business using our mobile phones, fitness trackers and smart watches.

Though it is invisible, the cloud is critical.

Why cloud convergence is important

After more than 20 years working with businesses making robots, planes, medical equipment, manufacturing controllers and many other machines, I believe thinking differently about the cloud can help us take a leap forward in imagining the future, a future which is marked by cloud convergence.Cloud convergence is a trend that pulls in cloud technologies in all aspects of what we do and interact with, connecting things that were previously not related or connected.With cloud convergence, well increasingly see cloud computing and IoT concepts come together.

In all aspects of the development, deployment, and operation phases of the device lifecycle, cloud convergence brings to bear savings by leveraging standards, existing infrastructures and, most importantly, human knowledge and experience. Fully embracing cloud convergencewhat it can help accomplish and how to evolve to get it doneis the next step in digital transformation.

As I discuss with our customers, it seems that there is a need to evolve our relationship with the cloud specifically for the device world. Lets call that the three Ps: perception, packaging, and process.

Changing theperceptionof what the cloud can do

For many, the cloud is thought about in relation to the IT world for tools, email, and web searches. But devices are not standalone objects anymore. They are part of a global cyber-physical system that spans hyperscale clouds, edge clouds and the electro-mechanical edge.

Manufacturing is a good example of what a cyber-physical system can look like. McKinseys Digital Manufacturing Global Expert survey reveals that most manufacturing companies (68%) consider Industry 4.0 manufacturing initiatives to be their top priority. In a more intelligent future, well get a better sense of the world around us with improvements in how data is collected, harnessed, processed, and put into action. The compute made available thanks to the cloud can assist with monitoring and analytics, as well as the ability to store massive amounts of data that would be too much to store locally on the devices themselves. In short, software-driven manufacturing could enable a massive shift for assembly lines giving way to data-driven and modular assembly. The cloud is an extension, not a replacement, adding value and opening new technical and business values.

And this is just a single use case; you can imagine how this could apply across any number of industries.

Softwarepackagingfor the intelligent edge

Cloud technologies have driven much innovation that makes it easier to manage software. One such technology is the container: a simple elegant concept designed to abstract application dependencies to increase modularity and ease deployment between different systems.

By leveraging the same construct (and specifications), we can now deploy and operate traditional embedded applications with cloud native tools and infrastructures. Granted, this requires some decoupling but with a real-time grade container engine, one gets the benefits of all worlds.

With these capabilities, aerospace and defense organizations, energy providers, large-scale manufacturers and medical organizations can take advantage of low-latency, high-bandwidth performance for the most challenging applications.

Enabling end-to-end cloud-based edge infrastructure withprocesses

People are most familiar with containers as part of cloud-native architectures in which applications, decoupled from the hardware, operating system (mostly), and infrastructure, are managed and updated at a very fast pace. According toTechBeacon, Amazon deploys code every 11.7 seconds. Contrast that to traditional updates in an embedded device done a handful of times in a year (if not every other year).

In order to accelerate our ability to develop, deploy and manage embedded software better, we need to update our processes to leverage cloud technologies where they fit. Be it to build, test, validate, verify, or deploy and update.

This level of complexity is just the reality and a hurdle for innovative organizations leveraging technology and the cloud in fresh ways today. As a way forward, teams must have tremendous flexibility in how systems are deployed and managed.

In summary, Im excited to see cloud technologies converge in helping address some of the challenges that the intelligent edge has been facing for a while, whether in the fields of manufacturing, healthcare, aerospace, or any others on the cutting edge.

And Im sure we can achieve the future together if we keep an eye on the 3 Ps perception, packaging and processes.

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ClearScale Bolsters Executive Management Team with Two Key Leadership Promotions – Yahoo Finance

May 4, 2022 | Author: admin

AWS Premier Tier Services Partner Names Pavel Vasilyev as Chief Technology Officer and Ed Songaila as Vice President of Sales

SAN FRANCISCO, May 3, 2022 /PRNewswire/ -- ClearScale, a leading cloud systems integrator, announced the promotions of Pavel Vasilyev to Chief Technology Officer (CTO) and Ed Songaila to Vice President of Sales. The newly promoted executives will help guide the company's strategy to scale its cloud professional services and managed services to the largest organizations worldwide.

(PRNewsfoto/ClearScale)

Vasilyev has been with ClearScale since 2017 and this is the third promotion he has received during his tenure with the company. Vasilyev will oversee an initiative that will combine all the company's cloud professional services under a single umbrella. The newly formed division will include presales, delivery, and managed services, all functioning as one unified team.

"I'm thrilled to be promoted to CTO at ClearScale because I can make a significant contribution to the rapid expansion of the company," Vasilyev said. "In terms of services and capabilities, we've been able to accomplish projects that companies with much more personnel have not been able to achieve. ClearScale has only begun to demonstrate its vast potential, and by investing in this organizational transformation, the company is on the fast track to unlimited growth."

Songaila was hired into the role of Director of Sales with ClearScale after nearly 10 years in sales management at CDW. In his new position as ClearScale's Vice President of Sales, Songaila will guide the strategic vision of the company's sales organization in alignment with Amazon Web Services (AWS), engage with customers at the executive level, and drive profitable top-line revenue growth.

"I'm very excited to join ClearScale, a company that's on a significant growth trajectory," Songaila said. "The reputation of ClearScale's engineering services is stellar and the executive leadership team is well-positioned to execute on our ambitious goals. We are ready to meet the moment of AWS' rapid expansion of market share in the cloud computing industry. ClearScale will ensure that our customers' goals are achieved through leveraging AWS, the world's best cloud computing platform, alongside ClearScale's renowned professional cloud services."

Story continues

The promotions for Vasilyev and Songaila came after a year in which ClearScale significantly grew its customer base. The company has now delivered more than 1,000 cloud projects for over 500 customers since its founding in 2011. ClearScale is an AWS Premier Tier Services Partner that designs, implements, and manages innovative cloud solutions customized for each client, from SMBs to the enterprise.

"During his transformative tenure at ClearScale, Pavel has directed the profitable evolution of the company's cloud services offerings," said Pavel Pragin, CEO of ClearScale. "And Ed brings a wealth of cloud technology sales leadership experience to our company. With these leaders being promoted into their new roles at such a pivotal point in ClearScale's evolution, we're positioned to accelerate our growth trend as we continue delivering innovative cloud solutions for customers across all industries."

About ClearScale

ClearScale is a cloud-native systems integration, strategic consulting, and application development company founded in 2011. The company has successfully delivered more than 1,000 innovative cloud projects for clients ranging from startups to large enterprises and public sector organizations. ClearScale's AWS cloud experts design, implement, optimize, and manage customized cloud solutions that help customers achieve their business transformation initiatives. For more information, visit http://www.clearscale.com and follow us on LinkedIn, Twitter, and YouTube.

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How to cut through the technology hype – Raconteur

May 4, 2022 | Author: admin

From cloud computing and blockchain to machine learning and the metaverse, sifting through shiny new tech toys is a time-consuming business. How do you decide if an emerging technology is a must have for your organisation, and are there benefits to being an earlyadopter?

Migrating to the cloud took centre stage in the pandemic. For Sue Daley, director for technology and innovation at the trade association techUK, the potential benefits in scalability and agility make it the undisputed building block of any tech transformation.

Cloud computing is the digital foundation which allows all other techs to converge and, in our view, moving your valuable assets over to the internet should be your number one priority going forward, whatever the size and nature of your business, Daleysays.

When it comes to investigating the plethora of new digital innovations to use in the cloud, its important you dont allow clever new gizmos to become a distraction.

However appealing the product or service, make sure you know how it will achieve your objectives and fit in with your existing tech infrastructure, because otherwise you may be wasting your money, Daleyadds.

Better use of data and data analytics software is a crucial issue across all industries. It could be well worth investigating edge computing: the ability to capture, store, process and analyse data locally or at the edge of the network, rather than at a remote datacentre.

Its highly likely that 5G, biometrics, machine learning and all the other digital tech being created and refined today will eventually be highly relevant for businesses. In the short term, however, investing in a system such as the internet of things (IoT) the term used for physical devices which connect via the web may not offer any specific commercial advantages, unless it can be combined with something a business already uses, such as 3Dprinting.

The much-hyped metaverse which enables businesses to offer new services or digital equivalents of their physical products offers a tantalising glimpse of our tech future. For now, however, many businesses are hampered by issues as fundamental as poor mobile connectivity.

For these organisations, getting the basics right is far more important than investing in advanced fingerprint mapping or augmented reality, says Martin McTague, national chairperson of the Federation of Small Businesses.

One in three small businesses receive download speeds of less than 10 megabits per second and close to half are affected by poor mobile connectivity, he says. With the cost of doing business soaring, small businesses should look closely at where new tech can add meaningful value, rather than trying to stay ahead of the curve for the sake of it. Theres no use trying to run before you canwalk.

When it comes to innovations like blockchain, a digital ledger system initially used for cryptocurrency transactions, businesses should look closely at the costs and benefits and be certain that any investment will add value in the shortterm.

Security must always be a top concern, with the majority of SMEs now viewing ransomware and cyber attacks as an ever-present threat.

When widening their use of tech, its vital that small firms ensure that staff can work safely from home without the threat of network breaches and ensure their customers can receive goods and services remotely without being compromised, saysMcTague.

With adequate preparation and repeated testing, organisations which opt to trial an emerging new tech at an early stage in the lifecycle can gain a competitive advantage as and when the techmatures.

However, before embarking on a trial it is important to appraise the businesss current skills level and processes. Where possible, organisations should identify an individual or team with the knowledge to guide itthrough.

Ensuring that the tech will be welcomed by your staff and not resented is another vital part of the preparation stage.

Being an early adopter can give you knowledge and understanding and if you are satisfied that you have the resources to successfully steer it through a trial, its probably worth going ahead, says Daley. In order to give the tech a fair chance though, you need to have your data in an appropriate format and a digital framework which can support the newcomer tech and demonstrate its ability to increase efficiency and improve the lives of yourstaff.

As world-class innovators such as Tesla founder Elon Musk have amply demonstrated, an early presence in a market attracts the loyalty of customers and employees and garners great publicity. However, the risks of being an early adopter are equally clear. As tech becomes more complex, the dangers of reputational damage caused by gremlins in the machine becomes more likely. The PR enjoyed by a pioneer may quickly turn sour if early users have a negative experience.

With more users, data, and connections the risk of cyber attacks increases. And as technologies develop, early mover advantage can quickly become a disadvantage when later movers produce new, improved versions of the original product, says Stephan Hartgers,vice president of digital strategy at the tech consultancy Mobiquity Europe.

Businesses that come late to a technology can also reap the benefits of lower prices once the early glitches have been ironed out, usually at great cost to the earlybirds.

An organisations overall risk appetite and digital maturity should help dictate whether being an early adopter is a smart move. However, punitive barriers to late adoption and internal resistance to change are equally important.

For Hartgers, transforming a negative, technophobe culture into a more positive and pioneering one may be the most vital step of all in effecting a digital transformation.

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The Global Digital Transformation Market is expected to – GlobeNewswire

May 4, 2022 | Author: admin

Westford, USA, May 02, 2022 (GLOBE NEWSWIRE) -- The combination of Big Data and modern technology has made processing massive data sets easier than ever before, and industriesare increasingly relying on these new, sophisticated tools to help them thrive, from Big Data mining to predictive analytics. According to the German Machinery and Plant Manufacturing Association, big data-based business models are predicted to generate at least 7% more income for German manufacturing enterprises in the upcoming years.

Among all the emerging technologies, Artificial Intelligence is likely to play a substantial role in the market during the forecast period. AI is being used to improve safety by providing preventive maintenance, there has been an increase in the number of accidents. In this case, AI-powered intelligent cameras are being used to gain entry to the risk region and reduce the possibility of damage. Hence, such advantages offered by the digital transformation along with a substantial shift towards the digital transformation are poised to contribute to the growth of the global digital transformation industry during the forecast period.

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Read market research report, " Global Digital Transformation Market is segmented By Technology (Cloud Computing, Big Data and Analytics, Mobility/social media, Cybersecurity, AI, and IoT), By Deployment Type (Cloud and On-Premise), By Organization Size (Large Enterprises and Small and Medium-sized Enterprises (SMEs)) By Vertical (BFSI, Retail, Education) & By Region- Forecast and Analysis 2021-2027 by SkyQuest

The global digital transformation market is segmented on the basis of technology, deployment type, organization size, vertical, and region. Based on technology, the market is segmented as cloud computing, big data and analytics, mobility/social media, cybersecurity, AI, and IoT. Among these, the cloud computing segment is projected to hold a significant share in the market during the forecast period. Based on deployment type, the market is segmented as cloud and on-premise. Among these, the cloud segment is projected to hold a significant share in the market during the forecast period.

Based on organization size, the market is segmented into large enterprises and small and medium-sized enterprises (SMEs). Among these, the small and medium-sized enterprises (SMEs) segment is projected to hold a significant share in the market during the forecast period. Based on vertical, the market is segmented as BFSI, retail, and education. Among these, the BFSI segment is projected to hold a significant share in the market during the forecast period.

The global Digital Transformation market is segmented based on the geography of North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa. Among the regions, the North American region is projected to hold the most substantial share in the market. Regional growth of the market is attributed to the rising prevalence of the internet, as well as the adoption of digital technologies by various industryverticals such as healthcare, retail, manufacturing, and others. Furthermore, the region's quickly changing face of industrialization, driven by market competitiveness, digitization, and dynamic consumer expectations, is driving regional enterprises to adopt new business models and digital technologies. Increased development of technology transformation solutions in the region, owing to businesses' unavoidable needs to convert their traditional processes to digital, as well as the growing adoption of smart devices, IoT, and cloud solutions, would boost growth.

Microsoft Corp. (US), IBM Corp. (US), SAP SE (Germany), Google Inc. (US), Oracle Corp. (US), Cognizant (US), Adobe (US), Accenture Plc (Ireland), HCL Technologies (India), and Aexonic Technologies (US) among others some of the key players operating in the market. The prominent players operating in the market are constantly adopting various growth strategies in order to stay afloat in the market. For an instance, in April 2021, Oracle Corp. started offering its GoldenGate technology as a fully automated, fully managed cloud service that clients can utilize to ensure that their critical data is always available and analyzable in real time, wherever they need it.

The report published by SkyQuest Technology Consulting provides in-depth qualitative insights, historical data, and verifiable projections about market size. The projections featured in the report have been derived using proven research methodologies and assumptions.

Browse summary of the report and Complete Table of Contents (ToC):

https://skyquestt.com/report/digital-transformation-market

SkyQuest has segmented the Global Digital Transformation Market based on Technology, Deployment Type, Organization Size, Vertical, and Region:

List of Key Players of Digital Transformation Market

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