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What Is Gamma AI And How To Use It – Dataconomy

June 17, 2023 | Author: admin

Gamma AI is a great tool for those who are looking for an AI-powered cloud Data Loss Prevention (DLP) tool to protect Software-as-a-Service (SaaS) applications. There are many reasons why you should employ an AI tool like this one, and in this article, we will discuss everything you need to know about it, including how to use it and how to benefit from it in your business!

Any organizations cybersecurity plan must include data loss prevention (DLP), especially in the age of cloud computing and software as a service (SaaS). The term DLP stands for the procedure of locating, observing, and guarding sensitive data against illegal access, leakage, or theft.

A cloud DLP solution for SaaS powered by AI is offered by Gamma AI. In order to prevent data loss, its system continuously monitors staff and offers event-driven security awareness training. Additionally, it provides a platform for utilizing AI to produce interesting content. The enterprise data provisioning platform of the organization is built to offer safe data infrastructure.

Gamma AIs mission is to offer SaaS companies a cloud DLP solution powered by AI. The businesss solution makes use of AI to continually monitor personnel and deliver event-driven security awareness training in order to prevent data theft. The technology from Gamma AI offers cloud data discovery and data classification, assisting businesses in protecting themselves from malicious and careless SaaS application security flaws.

Gamma AI also provides a platform for using AI to produce interesting content. Its cloud DLP for SaaS has advantages such as improved security for sensitive data, making it more challenging for cybercriminals to access it. Customers can benefit from the people-centric security solutions offered by Gamma AIs AI-powered cloud DLP solution. Employees are regularly monitored by the tool, which also alerts them to any possible data breaches.

The cloud DLP technology from Gamma AI automates the process of detecting and safeguarding sensitive data, saving time and resources that would otherwise be needed for human data assessment and protection. Overall, Gamma AIs cloud DLP solution aids businesses in preventing SaaS application security breaches caused by careless and malicious security lapses.

Gamma AIs cloud DLP solution for SaaS continuously tracks staff members and alerts administrators when a security blunder that could result in a data leak is made. The tool offers user protection, violation detection, and breach remediation solutions that are centered on people.

The cloud-based DLP solution from Gamma AI uses cutting-edge deep learning for contextual perception to achieve a data classification accuracy of 99.5%. The solution allows one-click deployment across all users, applications, and devices, providing horizontal coverage. The cloud DLP solution from Gamma AI has the highest data detection accuracy in the market and comes packed with ML-powered data classification profiles. Over nine months are cut down to two weeks by the tool in order to derive value.

How to counter the most risky cloud computing threats?

Gamma offers a PoC Assessment for a portion of your data to demonstrate proof of value and a 30-day trial license for a thorough analysis. For a free initial consultation call, you can email [emailprotected] or click Request a Demo on the Gamma website (https://gamma.ai/).

If you wonder about Gamma integrations, here is a full list:

To protect the security of customer data, Gamma AI operates within a secure cloud infrastructure and adheres to stringent privacy guidelines. High-level encryption is a feature of the solution that helps keep sensitive data safe and secure.

All data entering or leaving Gamma infrastructure is encrypted with TLS 1.2 or higher. Data at rest is encrypted by default using AES-256 with scheduled key rotation to keep your data safe. Gamma does not store any contents (e.g., email body) from the monitored cloud applications. All data is accessed read-only, analyzed for violations, and discarded immediately, says the company.

SolaaS: Your gateway to streamlined success

Data loss prevention with AI SaaS solutions is a novel and inventive technique to guard against unwanted access, data theft, and leakage. Data loss prevention (DLP) is a group of technologies and procedures designed to guard against data breaches and guarantee that data privacy laws are followed.

Data in a variety of places, including endpoints, networks, cloud storage, email, and applications, can be scanned, categorized, and monitored by DLP solutions.

However, there are numerous drawbacks to typical DLP solutions, including their high cost, complexity, false positives, and lack of scalability. AI-powered DLP solutions address these issues by automatically identifying and safeguarding sensitive data across various platforms and contexts. They do this by utilizing machine learning and natural language processing.

Additionally, capable of adapting to evolving threats and data patterns, AI-powered DLP solutions can offer more precise and effective data security.

Benefits of AI-driven DLP SaaS solutions include:

Just like Gamma AI, there are many other DLP SaaS solutions that you can choose from. Here are a couple of them:

Featured image credit: Markus Spiske on Unsplash

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What Is Gamma AI And How To Use It - Dataconomy

Workshop on data mining and effective searching techniques held – Greater Kashmir

June 17, 2023 | Author: admin

GK Photo

Ganderbal, June 13: Department of Convergent Journalism (DCJ), Central University of Kashmir (CUK) organised a lecture cum workshop on Data Mining and Effective Searching Techniques at Tulmulla campus here.

Prof. Umesh Arya, Professor and Dean, faculty of Media Studies, Guru Jambheshwar University of Science & Technology was the invited resource person.

In his address, Dean Academics Affairs, Prof. Shahid Rasool stressed on the significance of data mining skills for the media studies students and journalism professionals and said the abundant data available on the internet has made it difficult for the people to locate the accurate information. He said there is a significant change in the way people look out for information these days and people are shifting from books to online platforms. He said due to an overload of information on the internet, it becomes very important for people to know and understand the most appropriate commands and keywords that can be used to trace the exact information.

In his lecture, Prof. Umesh Arya talked about effective searching techniques and also demonstrated how" we can streamline our research involving data from the internet." He taught some basic tools for gathering and filtering information on the internet and how the data could be segregated using refined searching words and with the use of filters. Prof. Arya also talked about the data retrieval from journals using similar techniques. The session was followed by an interactive session wherein the students, scholars and the faculty members shared their thoughts.

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Workshop on data mining and effective searching techniques held - Greater Kashmir

Datamining Report: Cosmog and Team GO Rocket Special … – Pokmon GO Hub

June 17, 2023 | Author: admin

Hello Trainers! Pokmon GO has had some texts pushed pertaining to Pokmon Sleep, the texts for the Cosmog special research for the Solstice Event, along with the texts for the Team Go Rocket Special Research.

So spoiler alert for the two special research lines!! Its a data mine report, so that kinda goes without saying but hey, never can be too careful right?

Please read through all of this with a grain of salt we often post data mining reports that take months to release, and we dont want our readers disappointed. Be smart, read this like speculation, and be happy once it goes live.

Disclaimer: You know the drill by now, everything in this article is data mined, and therefore subject to change or not even being released at all. All this information is publicly provided by the PokMiners and includes some of my commentaries.

Texts for the Solstice event, including a quest for catching Ghost or Dark-type Pokmon. Obviously for the Nighttime portion of the event.

Generic texts for the event, including the notice you must log in during the event to get the special research.

Oh look, Willow got himself in trouble again Also, I had no idea that the opposite of nocturnal was diurnal. Anyway, looks like we get to choose between day or night.

Texts for the Daytime and Nighttime branch choice.

If you choose the day branch, youll be after some Grass-type Pokmon.

If you choose the Nighttime branch youll be sent after some Ghost-type Pokmon.

Its Cosmog, so you know Rhi is making an appearance. Theyll stick around to help you with Willows tasks.

Apparently, you need to save Cosmog from blowing away. Get catching!

This round of the Team Go Rocket Special Research is called A Shadowy Disturbance.

Willow wants us to have a chat with some Team GO Rocket grunts because chit-chat is what theyre known for.

Thats right Willow, they were not interested in talking. Shocking, I know.

Ah yes, lets go talk to the leaders now. I dont think thats going to go how you want it to Willow.

At least hes not suggesting we have some sort of conversation with Giovanni.

Ey, Im down for a party!

Oh, youre still here. Heres a small collection of minor updates.

A notification for finding a raid group in Campfire, and Shadow raids appearing more often.

I am really interested to see how these work.

A couple of minor updates to some texts for Routes.

A few text updates for Pokmon Sleep, including a note that indicates if its unable to recognize the account associated with the device it will need to be reset.

Thats all for now Trainers, stay safe out there.

Original post:

Datamining Report: Cosmog and Team GO Rocket Special ... - Pokmon GO Hub

AidData lab receives $1.7M to advance agriculture and mining … – William & Mary

June 17, 2023 | Author: admin

To effectively address globally important questions such as how to grow crops that will best serve regions affected by climate change or how to assess the environmental and economic impact of mining for transition minerals used in car batteries, policymakers need accurate data.

Thats what William & Marys AidData research lab is providing with support from The William and Flora Hewlett Foundation, which recently awarded the lab two grants totaling $1.7 million. This funding continues a more than decade-long partnership between the Hewlett Foundation and AidData, which operates under the Global Research Institute, a multidisciplinary hub comprising over 60 faculty and staff and more than 200 students.

The first grant, worth $1.2 million, will fund up to four collaborations with partner organizations in Africa that expand on the types of agricultural and economic projects AidData already has underway. These focus on geospatial impact evaluations, using satellite imagery and on-the-ground interviews to find ways to improve farming outcomes and reduce poverty in Africa. The collaborations will also focus on examining Africas gender-related policies in urban settings and enhancing agriculture policy researchers ability to use geospatial tools for evaluation and analysis.

A second grant for $500,000 will enable AidData to better understand Chinese development financing in mining for transition minerals that are essential for a renewable future. Minerals such as cobalt, lithium, nickel and magnesium the quest for which has sometimes been dubbed a new gold rush are necessary for batteries in electric vehicles and in incredibly high demand. China currently controls much of the market for the raw materials used in electric vehicle batteries from mining operations to processing plants.

Through this project, AidData will collect and analyze granular data on dozens of mining sites, focusing on how operations are affecting the local environment in their surrounding communities, mainly in sub-Saharan Africa and Latin America.

Like all things that we do at AidData, the main motivation is to bring new data and evidence to inform important public decision-making taking place around the world, said Ammar A. Malik, senior research scientist at AidData, who leads the Chinese Development Finance Program.

Malik is heading up the minerals project that will build upon AidDatas existing dataset of Chinese development projects worth $843 billion across 165 countries.

We will focus on the financing and implementation networks enabling projects including the banks and contractors involved in the delivery of mining projects, Malik said. Because China does not disclose details of their overseas development activities, there is very little data on these projects. We are trying to systematically and rigorously understand this issue in a consistent way.

Researchers will consider environmental, health and safety impacts from mining, such as deforestation and reduced air quality.

When a mining operation starts up, it further exposes where governance systems arent working, Malik said. If you dont have good labor rights or environmental protections, it makes underlying problems worse.

The AidData team will also look into the economic and social effects of mining, he said: Does it exacerbate inequities between the haves and the have-nots in those societies? Are men benefiting more than women?

Environmental protection, response to climate change and exploring the role of gender are common threads across the projects funded by both grants.

In Ghana, AidData is partnering with an agricultural research organization, the International Potato Center (known as CIP), to study how to promote and sustain the growth of sweet potatoes. These tubers supply nutrients that are necessary for child development and are lacking in some of the countrys other staple crops.

Encroachment of the Sahara Desert, termed desertification, is a major hindrance to crop growth in parts of the country.

Theyre having longer and longer dry seasons with less and less rain, said Ariel BenYishay, chief economist and director of research and evaluation at AidData as well as a William & Mary associate professor of economics.

Typically, a portion of the crop would be set aside for replanting the next year, but storing it through the lengthening dry season presents a challenge, he said: A lot of these potatoes are basically not viable as seeds for that long. CIP developed a solution to protect the potatoes for replanting by storing them in layers of sand.

Moving forward, AidData and CIP will study the spread of information about crops and nutrition through varied sources in the villages men, women, people of higher status and lower status to evaluate accuracy of the information, how it is spread and how listeners respond.

In Northern Ghana, the responsibility of growing things like sweet potatoes falls predominantly to women, and women are also making most of the decisions about which foods to feed their children, BenYishay said. But that doesnt mean women get all the say about what they grow and what they feed their kids. It will be interesting to see whether spreading the information through one genders networks versus anothers makes a difference.

AidDatas previous experience in Ghana has demonstrated the importance of collecting data about farming from both men and women, because surveys in which only the head of the household is asked questions tend to produce less accurate results. Conclusions from the earlier study funded by the Hewlett Foundation and Innovations for Poverty Action will be released in an upcoming working paper that will be submitted to an academic journal.

For that study, AidData partnered with the Ghana Center for Democratic Development (CDD-Ghana) to collect data from over 2,400 households and compare it with satellite imagery of farming plots.

In addition, AidData is working with CDD-Ghana to explore gender bias in artificial intelligence applications for estimating poverty. AidData and CDD-Ghana will host a workshop in Ghana for a mix of policymakers, aid donors, researchers and advocacy groups interested in addressing gender equity in decision making using survey data, poverty estimates and AI.

The workshop is being funded through the U.S. Agency for International Development (USAID) Equitable AI Challenge. The USAID initiative invests in programs that help identify and address gender biases within artificial intelligence systems, particularly those relevant to global development.

AidDatas work funded by the Hewlett Foundation helped catalyze a major Bill & Melinda Gates Foundation grant last fall to broaden the use of satellite imagery for studying agriculture and climate resiliency in developing countries. Each foundation is funding a portfolio of projects that are complementary in terms of their agricultural and gender focus, BenYishay said.

We hope that when we put all that together, we will have upwards of 10 projects that are letting us learn a lot about whats working, where there are points of synergy and ways to move forward more holistically, he said.

BenYishay emphasizes that half of the $1.2 million Hewlett Foundation grant will be shared with African partners who are collaborators on the projects.

Were trying to have these partners to participate in the research design from the outset, he said. The underlying research partnership is meant to flow in both directions. We meaningfully exchange ideas and they help to shape the longer-term direction here as well.

Editors note:Datais one of four cornerstone initiatives in W&Ms Vision 2026 strategic plan. Visit theVision 2026 websiteto learn more.

Tina Eshleman, University Marketing

AidData lab receives $1.7M to advance agriculture and mining ... - William & Mary

Report: Businesses continue trend of wasting money on unused … – ITPro

June 17, 2023 | Author: admin

Organizations are continuing to waste money on cloud resources that they do not require, with 50% admitting that overprovisioning of cloud resources was a major factor.

Idle or underused resources came just behind and a lack of skills was blamed by 43% of respondents to a survey.

Other factors included temporary cloud resources that are never ended, such as a service trialed by a customer that is never switched off, along with varying geographical costs resulting in more spending than expected.

The report from HashiCorp and Forrester, released this week, indicated the issue of overspending has not changed from last years figures.

Overprovisioning occurs when a customer reserves resources in the cloud, such as CPU or storage, but doesnt actually use them.

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While overprovisioning may simply appear like bad management or a loss of administrative control at first glance, the increasingly complex nature of cloud tooling can lead to customers buying services that are not necessarily needed.

While it might be possible to dynamically allocate resources in some instances - serverless architecture is a good example - this can result in performance or capacity issues, meaning reserving resources in advance is often unavoidable.

One solution to the challenge of overprovisioning is careful monitoring of actual usage in order to optimize cloud spend and gain visibility over ones estate.

The adoption of best practices across an entire organization, such as using automation and infrastructure-as-code, can also cut down on overprovisioning through the implementation of well-defined processes around resource usage while also improving scalability.

HashiCorps report noted that the approach of adopting best practices also lends itself well to a multi-cloud environment. Almost all of the organizations surveyed that had done so said that multi-cloud was working well for them, or would be shortly.

The potential difficulties in adopting those practices should not be underestimated, though, the report read.

An issue that pervades the IT industry, 27% of respondents said skill shortages was one factor complicating the operationalization of multi-cloud in their organization. Siloed teams and a lack of training were also concerns.

Once best practices are in place, or well on the way, organizations are then well-placed to take advantage of savings by selecting services from a variety of vendors and avoid being locked-in to one particular cloud.

While avoidable cloud spend appears static compared to the previous year, the report concluded organizations that are further along the journey to the adoption of best cloud practices, including the creation of a platform team, reported a reduction in overprovisioned, idle, or underused resources as contributing factors.

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Report: Businesses continue trend of wasting money on unused ... - ITPro

Everything You Need to Know About Cloud Communication | – Telemedia Online

June 17, 2023 | Author: admin

When it comes to an organization communication is essential as it helps in maintaining the physical and social aspects of the workflow. From customer relationships to internal communication and public relation, communication is the key to maintaining relations and creating healthy coordination.

Be it top to bottom or down to the bottom, it is primly important to have smooth communications to foster a healthy working environment that guarantees productivity and efficiency. Since it is a digital age, the ways and modes of communication have transformed. Internet and high-grade technology have paved a new method to generate and strengthen connections. And the best thing is that it has made complex internal and external interactions and communication easy and fluent.

This brings us to the concept of cloud communication.

As the name implies, cloud communication is a mode of communication that works based on cloud-host technology.

To put simply, cloud communications are defined as Internet tools that enable the quick and efficient communication of voice and data communication through the cloud. For cloud communication, you do not necessarily need a PSTN but just any internet connection.

Cloud communication includes voice calls, video calls, emails, chats, etc. In sum, cloud communication can help businesses streamline their broadcasting.

You must be aware of cloud computing, the phenomenon of delivery of computing services, including servers, databases, software, storage, analytics, and intelligence over the internet. The cloud is becoming predominantly a computing force in the business world as every business, regardless of size and scale, has to communicate aptly and on time if it wants to survive and thrive.

A user is added to a group or team where all members can send text messages, voice messages, and conduct video calls, share files, and work on projects. They can integrate multiple applications into a single platform to enhance efficiency and productivity. Some of the common cloud communication platforms include Dropbox, Google Drive, Microsoft Office, Skype, and Salesforce, etc.

Needless to mention, since cloud communication takes place over the internet, it is essential to understand that you need high-speed internet to make the communication seamless. For your business, make sure to choose an internet option that offers reliable and high-speed internet. Xfinity, for example, is one of the top-tier internet options in the US that provides lightning-fast internet of up to 2 Gbps. Look up for best plans and packages and explore Xfinity en espaol to navigate through the wide range of options.

There are numerous benefits of cloud communication for businesses, which include:

Gone are the days when businesses had to install and maintain costly on-site phone systems. Cloud computing allows you to communicate through an application on your computer.

One of the best things about cloud communication is that you can respond and communicate with other team members anytime and from anywhere.

Employees need not necessarily be in the office to make a call, listen to voicemails, or respond; they can make and rake calls remotely.

Cloud communication is backed with highly innovative technology, such as s IVR, call forwarding, and call recording, which helps increase efficiency and consume less time.

For your mushrooming cloud phone system, you can always add features that are required for your business. You can update your plan and keeps costs manageable.

Three types of cloud communication are responsible to perform different functions.

Public cloud communication is nothing like a public network that can be accessed by anyone, having high risks of cyber crimes.

When it comes to public cloud communication, there is a different provider but the space in the cloud is encrypted. Not anyone can access it which helps you secure your data or database from stealing. This type of cloud communication best fits small and medium-sized businesses.

Under a private cloud communication system there is an internal network that helps in getting robust security and safety of data and database. It is similar to that of public communication system and the only difference is extra security. This is preferred by companies who deal in highly sensitive data and cannot afford any risks.

Hybrid cloud communication is an amalgamation of synchronous and asynchronous information between remote and on-site team members. It does not require immediate responses; thus is favorable for the teams to work exclusively yet collectively.

It is essential to improve communication to drive consistent sales and meet the business targets, in totality. Cloud communication is one of the innovative means of communication which helps in making interactions go smoothly. Choose from any type of cloud communication that fits your needs and engage your teams in purposeful communication that can upsurge your business.

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Everything You Need to Know About Cloud Communication | - Telemedia Online

How Decision Intelligence and Artificial Intelligence Differ – Analytics Insight

June 17, 2023 | Author: admin

In this article, learn about how decision intelligence and artificial intelligence differ

An advanced strategy for improving decision-making processes that incorporate human judgment, data analysis, and artificial intelligence algorithms is known as decision intelligence. It uses the power of technology to offer suggestions and insights that can be implemented to help people make good decisions in complicated business situations.

Decision intelligence entails obtaining pertinent data from various sources, including databases, text documents, and APIs, and combining it with other relevant data. Statistical methods, machine learning algorithms, and data mining techniques are used to find meaningful relationships and patterns in this data.

AI, which stands for artificial intelligence, refers to the research and creation of algorithms to imitate human cognitive abilities. Decision-making, language processing, and visual perception are just a few of the capabilities of these algorithms that were previously only available to humans. Machines can now analyze vast amounts of data, recognize patterns, and make predictions with increasing accuracy thanks to AIs remarkable advancements in recent years.

On the other hand, decision intelligence applies AI to commercial decision-making practically, taking AI one step further. It uses the capabilities of AI algorithms to offer suggestions for actions that specifically meet the requirements of businesses or solve complex business issues. The primary focuses of Decision intelligence are the achievement of commercial objectives and the promotion of efficient decision-making procedures within organizations operating in various industries.

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How Decision Intelligence and Artificial Intelligence Differ - Analytics Insight

The Law Is Coming for AIBut Maybe Not the Law You Think – The Information

June 17, 2023 | Author: admin

While the approval of the AI Act in the European Parliament on Wednesday will no doubt go down in history as a day of reckoning for generative artificial intelligence, it was not the first. That honor belongs to March 31, when, citing a lack of compliance with various European data protection provisions, Italys data protection authority banned OpenAIs ChatGPT.

Products like ChatGPT and Googles Bard are members of the generative pre-trained transformer family of language models. These models rely on huge training data sets, to which they apply various artificial intelligence and machine-learning techniques, supervised and reinforced by human feedback, including user interactions with the model. Much of the training data is obtained by mining publicly available content, accessing data repositories and scanning large open data sets.

Just because these data sets are publicly available, however, does not mean the data itself is legally available to use.

$4.4 Billion Composite AI Markets: Growing Intricacy of AI Applications for Better Performance and Accuracy to Drive Growth – Global Forecast to 2028…

June 17, 2023 | Author: admin

Company Logo

Global Composite AI Market

Dublin, June 13, 2023 (GLOBE NEWSWIRE) -- The "Composite AI Market - Global Forecast to 2028" report has been added to ResearchAndMarkets.com's offering.

The composite AI market is estimated to grow from USD 0.9 billion in 2023 to USD 4.4 billion by 2028, at a CAGR of 36.5%

With the proliferation of digital devices, sensors, and IoT devices, a wealth of data is generated across various industries. Composite AI leverages this data to gain insights, make predictions, and deliver personalized experiences. The growing availability of data fuels the development and adoption of Composite AI solutions.

The software segment is expected to hold the largest market size during the forecast period.

The global composite AI market is segmented based on offering hardware, software, and services. Based on software segment is divided into AI development platforms and tools, machine learning (ML) frameworks, AI Middleware, and other software (computer vision software, data management tools, monitoring software, and security and governance tools).

Composite AI software refers to the software systems and tools that enable the integration of multiple AI technologies, such as machine learning, natural language processing, computer vision, and robotics, to create more advanced AI applications. One of the key software tools used in composite AI is machine learning frameworks.

These frameworks provide tools and libraries for developing and training machine learning models, making creating and optimizing AI algorithms easier.

Data mining & machine learning segment to grow at a higher CAGR during the forecast period.

The global composite AI market is segmented based on technique into conditioned monitoring, pattern recognition, data processing, proactive mechanism, data mining & machine learning, and other methods (AutoML and Model Building, Model Stacking and Ensemble, and Transfer Learning).

Data mining and machine learning techniques to gain traction in coming years. These techniques extract valuable insights from large and complex datasets, which are then used to train AI models and drive intelligent decision-making.

Story continues

Among verticals, the BFSI segment holds the largest market size during the forecast period.

Composite AI solutions are being adopted across the BFSI sector for numerous applications such as fraud detection and prevention, risk assessment and management, customer service, credit scoring, and compliance and regulatory reporting.

The adoption of composite AI solutions in the BFSI sector offers numerous benefits, including improved operational efficiency, enhanced customer experience, risk reduction, and compliance with regulatory requirements.

Asia Pacific to grow at a higher CAGR during the forecast period.

The growth of composite AI solutions across the five major regions, namely North America, Europe, Asia Pacific, Middle East and Africa, and Latin America is driven by factors such as technological advancements, industry-specific demands, government initiatives, availability of talent, and the increasing recognition of AI's potential to transform businesses and societies.

Asia Pacific region is experiencing a rapid growth rate in adopting composite AI solutions. Countries like China, Japan, South Korea, and India are leading in AI R&D, with strong government support and investments. Key industry verticals such as manufacturing, eCommerce, healthcare, and BFSI aggressively implementing composite AI to gain a competitive edge, drive innovation, and cater to the growing demand for advanced AI-driven solutions.

Asia Pacific is home to some of the world's fastest-growing economies, and the region is experiencing rapid technological advancements. The increasing adoption of advanced technologies, such as AI, big data analytics, and cloud computing, has fueled the demand for composite AI solutions.

Competitive landscape

Market shares, growth strategies, and service offerings of leading players such as IBM (US), SAS Institute (US), Microsoft (US), Google (US), AWS (US), Salesforce (US), BlackSwan Technologies (Israel), Oracle (US), OpenText (Canada), SAP (Germany), HPE (US), Pega (US)

Key Attributes:

Report Attribute

Details

No. of Pages

281

Forecast Period

2023 - 2028

Estimated Market Value (USD) in 2023

$0.9 Billion

Forecasted Market Value (USD) by 2028

$4.4 Billion

Compound Annual Growth Rate

36.5%

Regions Covered

Global

Premium Insights

Growing Intricacy of AI Applications for Better Performance and Accuracy to Drive Market Growth

Market to Witness Minor Decline in Y-O-Y Growth in 2023

Customer Service Segment to Grow at Highest CAGR During Forecast Period

Software and Bfsi Segments to Hold Largest Shares in North America in 2023

North America to Hold Largest Share in 2023

Market Overview and Industry Trends

Market Dynamics

Drivers

Growing Intricacy of AI Applications for Better Performance and Accuracy

Increasing Demand for More Customized and Flexible Solutions to Improve Efficiency and Productivity

Advancements in Hardware Components and Infrastructure for Better Scalability

Rising Usage of Composite AI for Industry-Specific Applications

Restraints

Opportunities

Challenges

Case Study Analysis

Case Study 1: Creation of Holistic View of Clients and Activities of Tier-1 Bank Using Data Fabric Concept

Case Study 2: Intuit Used Amazon Sagemaker to Manage Machine Learning at Scale

Case Study 3: Sas Analytics Solutions Helped Usg Corporation to Improve Its Manufacturing Process

Case Study 4: Orlando Magic Used Mobile App Data and Machine Learning to Personalize Marketing Campaigns

Case Study 5: Amsterdam Umc Used Analytics and AI to Increase Speed and Accuracy of Tumor Evaluations

Case Study 6: in Special Olympics, Abu Dhabi Used Sas Analytics and AI Solutions to Keep Athletes Safe

Case Study 7: Hpe Helped New Work to Address Complex Data Privacy Requirements and Improve Operational Efficiency

Technology Analysis

Related Technologies

Supervised Learning

Unsupervised Learning

Natural Language Processing

Deep Learning

AI Governance (Ethical, Explainable, and Responsible AI)

Knowledge Graphs

Allied Technologies

Cloud Computing

Computer Vision

Federated Learning

Digital Twin

Ecosystem Analysis

Composite AI Framework/Library Providers

Composite AI Platform Providers

Composite AI Software Tool Providers

Composite AI Hardware Providers

Composite AI Service Providers

Regulatory Bodies

Business Models for the Development of Composite AI

Company Profiles

Key Players

IBM

Sas Institute

Microsoft

Google

Aws

Salesforce

Blackswan Technologies

Oracle

OpenText

Recent Developments

Sap

Hpe

Pega

Other Key Players

Nvidia

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$4.4 Billion Composite AI Markets: Growing Intricacy of AI Applications for Better Performance and Accuracy to Drive Growth - Global Forecast to 2028...

VIRTUALTECH FRONTIER COMMITS TO USING HUAWEI CLOUD TO VENTURE INTO BILLION DOLLAR METAVERSE INDUSTRY – EIN News

June 17, 2023 | Author: admin

VIRTUALTECH FRONTIER COMMITS TO USING HUAWEI CLOUD TO VENTURE INTO BILLION DOLLAR METAVERSE INDUSTRY

From left to right: Jun Cheong (Chief Metaverse Officer of VTF), Jason Low (CEO of VTF),Lim Chee Siong (VP of Huawei Cloud in Malaysia), Soh Meng Yung (Business Development Manager of Huawei Cloud in Malaysia)

Pictured: Soh Meng Yung (Business Development Manager of Huawei Cloud in Malaysia), Lim Chee Siong (VP of Huawei Cloud in Malaysia), Jason Low (CEO of VTF), Jun Cheong (Chief Metaverse Officer of VTF) in discussion on the partnership

Pictured: Jason Low (CEO of VTF) Lim Chee Siong (VP of Huawei Cloud in Malaysia) officiating the MoU signing

VTF, using Huawei Cloud, is expected to fuel transformation and drive the development of a vibrant and interconnected metaverse ecosystem.

Huawei Cloud provides a stable, secure, efficient, and easy-to-use cloud storage service which ensures your important data and various media files are stored securely while at the same time making sure simultaneous updates on multiple devices and automatic data backups occur. This will ensure the success of the move into the metaverse as VTF traverses and explores the web3 landscape in the Asia Pacific region with the use of Huawei Cloud.

VTF has worked with numerous brands over the years and has been actively supporting metaverse and web3 initiatives. Backed by 500 Global and Blockchain Founders Fund, the team at VTF created Mitoworld half a year ago as a no-code metaverse SaaS platform that allows users to create a metaverse within minutes. Their recent projects include working with Hiredly for a virtual career fair in the metaverse, organising free workshops for virtual space education and more community-related events.

Vice President of Huawei Cloud in Malaysia, Mr Lim Chee Siong, said Dive into digital with Everything As-A-Service. Huawei Cloud delivers efficient, agile, and open cloud-native infrastructure through the distributed cloud to diverse platforms, implementing intelligent computing into the entire service process. This can contribute greatly to fuelling transformation and innovation in Web3.

"The metaverse is still in its early stages of development, and it takes time for any transformative technology to reach its full capabilities. said Jason Low, CEO of VTF. "With Huawei Cloud, we can further innovate and improve the metaverse going forward. Its potential to revolutionize communication, entertainment, and education should not be underestimated."

VTF, using Huawei Cloud, is expected to fuel transformation and meet the evolving needs of customers, driving the development of a vibrant and interconnected metaverse ecosystem.

- END -

About Virtualtech Frontier Virtualtech Frontier (VTF) is a leading metaverse and virtual spaces development company. Backed by 500 Global and Blockchain Founders Fund, they are at the forefront of creating an interoperable and accessible metaverse. Since inception, they have helped virtualize hundreds of companies and brands, such as Nestle, Omega and Bytedance. Striving to bring everyone into the metaverse, they have developed Mitoworld.io, a no-code metaverse SaaS platform that simplifies the creation and connection of purpose-driven metaverses. Follow our socials: https://www.linkedin.com/company/virtualtech-frontier/ https://www.facebook.com/virtualtechfrontier/ https://www.instagram.com/virtualtechfrontier/

About Huawei Cloud Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and we operate in more than 170 countries and regions, serving more than three billion people around the world.

Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will work towards ubiquitous connectivity and inclusive network access, laying the foundation for an intelligent world; provide diversified computing power where you need it, when you need it, to bring cloud and intelligence to all four corners of the earth; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; and redefine user experience with AI, making it smarter and more personalized for people in all aspects of their life, whether they're at home, on the go, in the office, having fun, or working out. For more information, please visit Huawei online at http://www.huawei.com or follow us on: http://www.linkedin.com/company/Huawei http://www.twitter.com/Huawei http://www.facebook.com/Huawei http://www.youtube.com/Huawei

For media enquiries, please contact Gabriella Bong gabriella.bong@virtualtechfrontier.com +6016-8860611

Gabriella BongVirtualtech Frontiergabriella.bong@virtualtechfrontier.com

Pictured: Jason Low (CEO of VTF) Lim Chee Siong (VP of Huawei Cloud in Malaysia) officiating the MoU signing

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VIRTUALTECH FRONTIER COMMITS TO USING HUAWEI CLOUD TO VENTURE INTO BILLION DOLLAR METAVERSE INDUSTRY - EIN News

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