In the past few years, the tech sector has been in love with artificial intelligence (AI). With applications ranging from high-end data science to automated customer service, this technology is appearing all across the enterprise. The key to successfully scaling an AI project is identifying which challenges you will face along the way and how to solve them. Here is how you can accelerate AI adoption and scale AI projects correctly:

Organizations will have to extend the number of data sources and collect different types of data. The more diverse data sources are, the more depth AI-based algorithms will have and the better they will perform. Make sure to evaluate the authenticity and accuracy of each data source before feeding its data to AI-based models.

A playbook is an all-in-one solution to automate and grow any sports, camps & youth, a fitness organization, or facility. Developing a team is important for the success of an AI project. Once you have a team, you need to provide them with the right training, create an AI strategy, and establish internal and external customer communication channels. It works for many types of organizations.

Multi-pronged skills are key to enhancing the employability Quotient of youth. Completing AI projects or scaling them is not easy. Finding individual data experts, data security analysts, machine learning engineers, etc is not easy. Since AI-based algorithms are resource-intensive there is a need to use a dedicated server.

In order to complete the AI project successfully firstly find the best use case and partner with business leaders. They will also have to engage a broader ecosystem to get valuable insights, technology, and talent. Set clear goals and milestones to keep your team focused otherwise, your AI projects can easily get derailed from the path.

AI and MI models are as good as the quality of data you feed them. If feed AI and machine learning models with high-quality data, these models will work perfectly. Once the data dont have inconsistencies and issues, MI and AI-based models will work flawlessly and deliver desired results.

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5 Ways to Scale AI Projects and Adopt Artificial Intelligence in Your Company - Analytics Insight

Rapidly developing artificial intelligence (AI) technology is becoming increasingly critical for innovation and economic growth. To secure American leadership and competitiveness in this emerging field, policymakers should create an innovation-friendly environment for AI research. To do so, federal authorities should identify ways to engage the private sector and research institutions.

The National AI Research and Development (R&D) Strategic Plan, which will soon be updated by the Office of Science and Technology Policy (OSTP) and the National Science and Technology Council (NSTC), presents such an opportunity. However, the AI Strategic Plan needs several updates to allow the private sector and academic institutions to become more involved in developing AI technologies.

First, the OSTP should propose the creation of a federal AI regulatory sandbox to allow companies and research institutions to test innovative AI systems for a limited time. An AI sandbox would not only benefit consumers and participating companies; it would also enable regulators to gain first-hand insights into emerging AI systems and help craft market-friendly regulatory frameworks and technical standards. Regulators could also create sandbox programs to target innovation on specific issuessuch as human-machine interaction and probabilistic reasoningthat the AI Strategic Plan identifies as priority areas in need of further research.

Second, the updated AI strategy should outline concrete steps to publish high-quality data sets using the vast amount of non-sensitive and non-personally identifiable data that the federal government possesses. AI developers need high-quality data sets on which AI systems can be trained, but the lack of access to these data sets remains a significant challenge for developing novel AI technologies, especially for startups and businesses without the resources of big tech companies. The costs associated with creating, cleaning, and preparing such data sets are too high for many businesses and academic institutions. For example, AlphaGo, a software produced by Google subsidiary DeepMind, made headlines in March 2016 when it defeated the human champion of a Chinese strategy game. More than $25 million was spent on hardware alone to train data sets for this program.

Recognizing this challenge, the AI Strategic Plan recommended the development of shared public data sets, but progress in this area appears to be slow. Under the 1974 Privacy Act, the U.S. government has not created a central data repository, which is important due to the privacy and cybersecurity risks that such a repository of sensitive information would pose. However, different U.S. agencies have created a wide range of non-personally identifiable and non-sensitive data sets intended for public use. Two notable examples are the National Oceanic and Atmospheric Administrations climate data and NASAs non-confidential space-related data. Making such data readily available to the public can promote AI innovation in weather forecasting, transportation, astronomy, and other underexplored subjects.

Therefore, the AI strategy should propose a framework that enables the OSTP and the NSTC to work with government agencies in order to ensure that non-sensitive and non-personally identifiable dataintended for public useare made available in a format suitable for AI research by the private sector and research institutions. To that end, the OSTP and the NSTC could use the federal governments existing FedRAMP classification of different data types to decide which data should be included in such data sets.

Finally, the AI Strategic Plan would benefit from a closer examination of other countries AI R&D strategies. While policymakers should exercise caution in making international comparisons, awareness of these broader trends can help the United States capitalize on different countries successes and avoid their regulatory mistakes. For example, the British and French governments recently spearheaded initiatives to promote high-level interdisciplinary AI research in multiple disciplines. Likewise, the Chinese government has launched similar initiatives to encourage cross-disciplinary academic research at the intersection of artificial intelligence, economics, psychology, and other disciplines. Studying and evaluating other countries approaches could provide American policymakers insights into which existing R&D resources should be devoted to interdisciplinary AI projects.

To maximize the benefit of this comparative approach, the AI Strategic Plan should propose mechanisms to conduct annual reviews of the global AI research and regulatory landscape andevaluations of its successes and failures.

Ultimately, due to AIs general-purpose nature and its diffusion across the economy, the AI Strategic Plan should focus on enabling a wide range of actors, from startups to academic and financial institutions, to play a role in strengthening American AI innovation. An innovation-friendly research environment and an adaptable, light-touch regulatory approach are vital to secure Americas global economic competitiveness and technological innovation in artificial intelligence.

Ryan Nabil is a Research Fellow at the Competitive Enterprise Institute in Washington, DC.

Image: Flickr/U.S. Air Force.

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How to Strengthen America's Artificial Intelligence Innovation - The National Interest

DUBLIN--(BUSINESS WIRE)--The "Global Artificial Intelligence in HR Market (2022-2027) by Offering, Technology, Application, Industry and Geography, Competitive Analysis and the Impact of COVID-19 with Ansoff Analysis" report has been added to ResearchAndMarkets.com's offering.

The Global Artificial Intelligence in HR Market is estimated to be USD 3.89 Bn in 2022 and is expected to reach USD 17.61 Bn by 2027, growing at a CAGR of 35.26%.

Market Segmentation

Company Profiles

The report provides a detailed analysis of the competitors in the market. It covers the financial performance analysis for the publicly listed companies in the market. The report also offers detailed information on the companies' recent development and competitive scenario. Some of the companies covered in this report are Automatic Data Processing Inc., Ceredian HCM Inc., Cezanne Inc., etc.

Competitive Quadrant

The report includes Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.

Ansoff Analysis

The report presents a detailed Ansoff matrix analysis for the Global Artificial Intelligence in HR Market. Ansoff Matrix, also known as Product/Market Expansion Grid, is a strategic tool used to design strategies for the growth of the company. The matrix can be used to evaluate approaches in four strategies viz. Market Development, Market Penetration, Product Development and Diversification. The matrix is also used for risk analysis to understand the risk involved with each approach.

The analyst analyses Global Artificial Intelligence in HR Market using the Ansoff Matrix to provide the best approaches a company can take to improve its market position.

Based on the SWOT analysis conducted on the industry and industry players, the analyst has devised suitable strategies for market growth.

Key Topics Covered:

1 Report Description

2 Research Methodology

3 Executive Summary

3.1 Introduction

3.2 Market Size, Segmentation, and Outlook

4 Market Dynamics

4.1 Drivers

4.1.1 Integration of Cloud and Mobile Deployment in HRM Systems

4.1.2 Increasingly Large and Complex Resumes Screening and Reduction in Biases Hiring Decision

4.1.3 Growing Emphasis on HR Process Automation

4.2 Restraints

4.2.1 Lack of Standard Regulatory Policies and Data Regulations

4.2.2 Reluctance Among HR to Adopt AI-Based Technologies

4.3 Opportunities

4.3.1 Collaboration and Partnership with the HR Organization

4.3.2 Technological Advances in AI for HR

4.4 Challenges

4.4.1 Privacy and Security Concerns

4.4.2 Requirement of Human Aspect in HR

5 Market Analysis

5.1 Regulatory Scenario

5.2 Porter's Five Forces Analysis

5.3 Impact of COVID-19

5.4 Ansoff Matrix Analysis

6 Global Artificial Intelligence in HR Market, By Offering

6.1 Introduction

6.2 Hardware

6.2.1 Processor

6.2.2 Memory

6.2.3 Network

6.3 Software

6.3.1 AI Solutions

6.3.2 AI Platform

6.4 Services

6.4.1 Deployment & Integration

6.4.2 Support & Maintenance

6.4.3 Training & Consulting

7 Global Artificial Intelligence in HR Market, By Technology

7.1 Introduction

7.2 Machine Learning

7.2.1 Deep Learning

7.2.2 Supervised Learning

7.2.3 Reinforced Learning

7.2.4 Unsupervised Learning

7.2.5 Others

7.3 Natural Language Processing

7.4 Context-aware Computing

7.5 Computer Vision

8 Global Artificial Intelligence in HR Market, By Application

8.1 Introduction

8.2 Recruitment

8.3 Performance Management

8.4 Retention

8.5 Payroll

8.6 Safety and Security

8.7 Regulatory Compliance

8.8 Others

9 Global Artificial Intelligence in HR Market, By Industry

9.1 Introduction

9.2 Academic

9.3 BFSI

9.4 Government

9.5 Healthcare

9.6 IT & Telecom

9.7 Manufacturing

9.8 Retail

9.9 Others

10 Americas' Artificial Intelligence in HR Market

10.1 Introduction

10.2 Argentina

10.3 Brazil

10.4 Canada

10.5 Chile

10.6 Colombia

10.7 Mexico

10.8 Peru

10.9 United States

10.10 Rest of Americas

11 Europe's Artificial Intelligence in HR Market

11.1 Introduction

11.2 Austria

11.3 Belgium

11.4 Denmark

11.5 Finland

11.6 France

11.7 Germany

11.8 Italy

11.9 Netherlands

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The Global Artificial Intelligence in HR Market Will Grow to USD 17.61 Billion by 2027, at a CAGR of 35.26% - ResearchAndMarkets.com - Business Wire

LONDON, March 30, 2022 (GLOBE NEWSWIRE) -- According to The Business Research Companys research report on the artificial intelligence in healthcare market, AI-driven surgical robots are gaining prominence among the artificial intelligence in healthcare market trends. Various healthcare fields have adopted robotic surgery in recent times. Robot-assisted surgeries are performed to remove limitations during minimally invasive surgical procedures and to improve surgeons' capabilities during open surgeries. AI is widely being applied in surgical robots and is also used with machine vision to analyze scans and detect complex cases. While performing surgeries in delicate areas of the human body, robotic surgeries are more effective than manually performed surgeries. To meet healthcare needs, many technology companies are providing innovative robotic solutions.

For example, in 2020, Accuracy Incorporated, a US-based company that develops, manufactures, and sells radiotherapy systems for alternative cancer treatments, launched a device called the CyberKnife S7 System, which combines speed, advanced precision, and AI-driven motion tracking for stereotactic radiosurgery and stereotactic body radiation therapy treatment.

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The global artificial intelligence in healthcare market size is expected to grow from $8.19 billion in 2021 to $10.11 billion in 2022 at a compound annual growth rate (CAGR) of 23.46%. The global AI in healthcare market size is expected to grow to $49.10 billion in 2026 at a CAGR of 48.44%.

The increase in the adoption of precision medicine is one of the driving factors of artificial intelligence in the healthcare market. Precision medicine uses information about an individual's genes, environmental and lifestyle changes to design and improve the diagnosis andtherapeutics of the patient. It is widely used for oncology cases, and due to the rising prevalence of cancer and the number of people affected by it, the demand for AI in precision medicine will increase. According to research published in the Lancet Oncology, the global cancer burden is set to increase by 75% by 2030.

Major players in the artificial intelligence in healthcare market are Intel Corporation, Nvidia Corporation, IBM Corporation, Microsoft Corporation, Google Inc., Welltok Inc., General Vision Inc., General Electric Company, Siemens Healthcare Private Limited, Medtronic, Koninklijke Philips N.V., Micron Technology Inc., Johnson & Johnson Services Inc., Next IT Corporation, and Amazon Web Services.

The global artificial intelligence in healthcare market is segmented by offering into hardware, software; by algorithm into deep learning, querying method, natural language processing, context aware processing; by application into robot-assisted surgery, virtual nursing assistant, administrative workflow assistance, fraud detection, dosage error reduction, clinical trial participant identifier, preliminary diagnosis; by end-user into hospitals and diagnostic centers, pharmaceutical and biopharmaceutical companies, healthcare payers, patients.

As per the artificial intelligence in healthcare industry growth analysis, North America was the largest region in the market in 2021. Asia-Pacific is expected to be the fastest-growing region in the global artificial intelligence in healthcare market during the forecast period. The regions covered in the global artificial intelligence in healthcare market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa.

Artificial Intelligence In Healthcare Market Global Market Report 2022 Market Size, Trends, And Global Forecast 2022-2026 is one of a series of new reports from The Business Research Company that provide artificial intelligence in healthcare market overviews, analyze and forecast market size and growth for the whole market,artificial intelligence in healthcare market segments and geographies, artificial intelligence in healthcare market trends, artificial intelligence in healthcare market drivers, artificial intelligence in healthcare market restraints,artificial intelligence in healthcare market leading competitors revenues, profiles and market shares in over 1,000 industry reports, covering over 2,500 market segments and 60 geographies.

The report also gives in-depth analysis of the impact of COVID-19 on the market. The reports draw on 150,000 datasets, extensive secondary research, and exclusive insights from interviews with industry leaders. A highly experienced and expert team of analysts and modelers provides market analysis and forecasts. The reports identify top countries and segments for opportunities and strategies based on market trends and leading competitors approaches.

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Robotic Surgery Devices Global Market Report 2022 By Product And Service (Robotic Systems, Instruments & Accessories, Services), By Surgery Type (Urological Surgery, Gynecological Surgery, Orthopedic Surgery, Neurosurgery, Other Surgery Types), By End User (Hospitals, Ambulatory Surgery Centers) Market Size, Trends, And Global Forecast 2022-2026

Artificial Intelligence (AI) In Drug Discovery Global Market Report 2022 By Technology (Deep Learning, Machine Learning), By Drug Type (Small Molecule, Large Molecules), By Therapeutic Type (Metabolic Disease, Cardiovascular Disease, Oncology, Neurodegenerative Diseases), By End-Users (Pharmaceutical Companies, Biopharmaceutical Companies, Academic And Research Institutes) Market Size, Trends, And Global Forecast 2022-2026

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Companies In The Artificial Intelligence In Healthcare Market Are Introducing AI-Powered Surgical Robots To Improve Precision As Per The Business...

The Recording Academy announced today its official marketing partners for 2022 GRAMMYs, officially known as the 64th GRAMMY Awards. Binance, IBM, Mastercard, OneOf, Grey Goose, Bulova, Hilton, SiriusXM, PEOPLE, FIJI Water, Frontera Wines, and United are all supporters of this year's GRAMMY Awards.

"We are excited to be working alongside these industry-leading brands for the 64th Annual GRAMMY Awards," said Adam Roth, Senior Vice President of Partnerships & Business Development at the Recording Academy. "Music's Biggest Night wouldn't be possible without each and every one of our partners. With their participation, we are able to celebrate the music community and its creators in a new and exciting way that's never been done before. We hope fans watching the show in person and at home can join in on the celebration as we know this will be a night to remember."

Read: Where, What Channel & How To Watch The 2022 GRAMMYs Awards Show

Binance, the Official Cryptocurrency Exchange Partner, is the global blockchain company behind the world's largest cryptocurrency exchange and the first crypto partner of the GRAMMY Awards. Binance will bring Web3 technology solutions to the Academy.

IBM, the Official Cloud & Artificial Intelligence (AI) Partner of the GRAMMYs, is transforming the GRAMMY Live Pre-Show and grammy.com with "GRAMMY Insights with IBM Watson." The AI-powered solution analyzes more than 20 million news stories about nominees, generating surprising and engaging insights about your favorite artists. The insights are shared in real time as nominees walk the red carpet and served up to the artist profile pages on grammy.com, getting music fans closer to the artists they love.

Mastercard, the Official Finance Services Partner, is the preferred payments technology partner of the GRAMMY Awards. Just ahead of Music's Biggest Night, Mastercard is hosting the GRAMMY U Masterclass on April 1 featuring music video director Hannah Lux Davis.

OneOf, the Official NFT Partner, launched the first GRAMMY NFTs for the 64th GRAMMY Awards featuring collections from renowned artists Emonee LaRussa, Andre Oshea and ThankYouX. Collections are dropped each week leading up to the GRAMMY Awards beginning March 7 with the free 64th GRAMMYs NFT.

GREY GOOSE Vodka, our Official Spirits Partner, developed an all-new signature cocktail for this year's GRAMMYs, the GREY GOOSE Passion Drop. This specialty cocktail, which is a remix of theGREY GOOSE quintessential martini, will be featured at all our signature GRAMMY Week events and highlighted digitally on our GREY GOOSE Hub on GRAMMY.com, a curated destination for themed invites, GREY GOOSE cocktail recipes and watch party ideas. GREY GOOSE has also partnered with three of today's hottest artists (JoJo, Lucky Daye and Tinashe) for a limited digital series, GREY GOOSE x GRAMMYs: Monday Mix that premiered on March 14 and will air every Monday leading up to the GRAMMY Awards telecast. During GRAMMY Week, GREY GOOSE will also be highlighting their new line of vodkas infused with real fruit and botanicals, GREY GOOSE ESSENCES, during the GREY GOOSE ESSENCES x GRAMMYs: Sound Sessions featuring Tinashe.

Bulova, the Official Timepiece Partner, celebrates GRAMMY-nominated artists with an exclusive watch from their music-inspired GRAMMY Edition watch collection. First-time GRAMMY Award winners will be gifted with a limited-edition "GRAMMY Automatic" watch, infused with musical cues throughout and a "Circle of Fifths" dial design. The meticulously designed timepiece is constructed using the Recording Academy branded proprietary metal "GRAMMIUM."

Hilton, the Official Hotel Partner, is a returning longtime partner and host venue of the inaugural Recording Academy Honors Presented by the Black Music Collective.

SiriusXM, the Official US Radio Partner, is bringing The GRAMMY Channel back for its second year. The limited-run channel will feature a variety of music from this year's nominees across the GRAMMY Awards' 30 Fields, all leading up to the live broadcast of Music's Biggest Night.The GRAMMY Channel will run for a limited time only from March 23 through April 6 on channel 105.

PEOPLE, the Official Magazine Partner, will be broadcasting from the GRAMMYs with a live pre-show. Hosted by Jeremy Parsons and Janine Rubenstein, Red Carpet Live: 64th Annual Grammy Awards will feature interviews with the world's leading performers and nominees. PEOPLE & Entertainment Weekly Red Carpet Live will stream at 6:30 p.m. ET on people.com, ew.com and their social platforms.

FIJI Water, the Official Water Partner, will be on hand at the GRAMMY Red Carpet to hydrate attendees, executives and talent as they stop for photos and interviews with media. FIJI Water will also be the official water brand at the GRAMMY Week events leading up to Music's Biggest Night, ensuring everyone has the chance to enjoy Earth's Finest Water.

Frontera Wines, the Official Wine Partner of the GRAMMY Awards, 12th most powerful wine brand worldwide and #1 Chilean wine brand in the US, will be pouring across select events. The Recording Academy will exclusively work with Frontera to highlight specific Frontera varietals and amplify the partnership through social posts across all channels.

United, the Official Airline Partner, will be providing travel accommodations for the 64th Annual GRAMMY Awards.

For more information on official GRAMMY Awards partners, please visit:

binance.com, ibm.com, mastercard.com, oneof.com, greygoose.com, bulova.com, hilton.com, siriusxm.com, people.com, fijiwater.com, fronterawines.com, and united.com

The Recording Academy will present the 2022 GRAMMYs onSunday, April 3, live from the MGM Grand Garden Arena in Las Vegas, on theCBS Television Networkandstreaming live and on demand on Paramount+from811:30 p.m. ET / 58:30 p.m. PT.Prior to the telecast,the GRAMMY Awards Premiere Ceremonywill bestreamed live onlive.grammy.comandthe Recording Academy's YouTube channel.Additional details about the dates and locations of other official GRAMMY Week events are available here.Learn more aboutHow To Watch The 2022 GRAMMYs Awards Showand get excited about the full 2022 GRAMMYs nominations list.For more GRAMMYs coverage, updates and breaking news, please visit the Recording Academy's social networks on Facebook, Instagram, TikTok, and Twitter.

2022 GRAMMYs Awards Show: Complete Nominations List

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How GRAMMY Insights With IBM Watson Uses Artificial Intelligence To Help Power The 2022 GRAMMYs - The GRAMMYs

REDDING, Calif., March 29, 2022 /PRNewswire/ -- According to a new market research report titled, "Artificial Intelligence in Cybersecurity Marketby Technology (ML, NLP), Security (Endpoint, Cloud, Network), Application (DLP, UTM, IAM, Antivirus, IDP), Industry (Retail, Government, BFSI, IT, Healthcare), and Geography Global Forecasts to 2029,"the artificial intelligence in cybersecurity market is expected to grow at a CAGR of 24.2% during the forecast period to reach $66.22 billion by 2029.

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The increasing demand for advanced cybersecurity solutions and privacy, the growing significance of AI-based cybersecurity solutions in the banking sector, and the rising frequency and complexity of cyber threats are the key factors driving the growth of the artificial intelligence in cybersecurity market. In addition, the growing need for AI-based cybersecurity solutions among small and medium-sized enterprises (SMEs) are creating new growth opportunities for vendors in the AI in cybersecurity market.

However, the lack of skilled AI professionals, the perception of AI in cybersecurity as an uncomprehensive security solution, and the impacts of the COVID-19 pandemic are expected to restrain the growth of this market to a notable extent.

Impact of COVID-19 on Artificial Intelligence in CybersecurityMarket

The outbreak of the COVID-19 pandemic severely affected numerous businesses across the globe. Several organizations started adopting a work-from-home mode of operation. Reliance on remote access systems made organizations more vulnerable to DDOS and phishing attacks. The excess internet usage during the COVID-19 pandemic increased the number of data thefts, ransomware attacks, and data breaches across organizations. The COVID-19 outbreak forced medical-treatment units to utilize remote-care devices that lack proper protection against cyberattacks, thereby giving opportunities to perpetrate attacks. Thus, several organizations started focusing on advanced technologies in cybersecurity, such as artificial intelligence, machine learning, and big data, for protection against such threats.

According to HIPAA Journal, the INTERPOL issued an alert to hospitals over ongoing ransomware attacks during the COVID-19 pandemic and issued a 'Purple Notice' alerting police forces in all 194 member countries. According to Cyber Intelligence Centre, in 2020, there was a spike of phishing attacks, malspams, and ransomware attacks as attackers started using COVID-19 as bait to personate brands and mislead customers and employees. Organizations started focusing on monitoring emails and active directories for anomalous logins, reviewing tactical actions, and implementing key security controls. Many leading players started improving their cyber risk management measures strategizing accordingly by ensuring that their remote access systems were sufficiently resilient to withstand cyber threats. Artificial intelligence in cybersecurity will play a significant role in the safety and security of organizations from cyber threats. The impacts of the COVID-19 pandemic have resulted in industry verticals focusing on reducing reliance on human resources and maximizing the use of processes and advanced technologies to perform cybersecurity activities. The positive impacts will be perceptible, encouraging the growth of AI in cybersecurity market during the forecast period.

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Several organizations are eying this crisis as a new opportunity for restructuring and revisiting their existing strategies along with advanced product portfolios.For instance, in 2021, IBM Corporation (U.S.) announced new and enhanced services of IBM Security Services designed to help organizations manage their cloud security strategy, policies, and controls across hybrid cloud environments. In 2021, FireEye, Inc. introduced FireEye XDR, a unified platform designed to help security operations teams strengthen threat detection, accelerate response capabilities, and simplify investigations. These developments are showing a positivesign for the growth of cybersecurity, consequently expected to boost the demand for artificial intelligence in cybersecurity market in the coming years.

In addition, favorable government policy & initiatives, including financial packages for businesses and ease in taxes, the increasing demand for advanced cybersecurity solutions in the healthcare sector, and the increasing investments in advanced technologies are expected to contribute to the growth of artificial intelligence in cybersecurity market.

Also, the ongoing tensions between Russia and Ukraine have increased digital skirmishes. This ongoing conflict may impact global diplomacy, markets, and other aspects by escalating into cyberwarfare with significant monetary damages, as seen with the global NotPetya cyberattack and wiper virus cyberattack.

Artificial Intelligence in Cybersecurity Market Overview

The artificial intelligence in cybersecurity market is segmented based on components (hardware, software, services), technology (machine learning, natural language processing, context-aware computing), security (application security, endpoint security, cloud security, network security), application (data loss prevention, unified threat management, encryption, identity & access management, risk & compliance management, antivirus/antimalware, intrusion detection/prevention system, distributed denial of service mitigation, security information & event management, threat intelligence, fraud detection), deployment (on-premises, cloud-based), industry vertical (retail, government & defense, automotive & transportation, BFSI, manufacturing, infrastructure, IT & telecommunication, healthcare, aerospace, education, energy), and geography. The study also evaluates industry competitors and analyses the market at the country level.

Based on component, the AI in cybersecurity market is segmented into software, hardware, and services. In 2022, the software segment is estimated to account for the largest share of the overall artificial intelligence in cybersecurity market. The larger share and highest CAGR of this segment is primarily driven by the growing data security concerns, the increase in demand for AI platforms solutions for security operations, and the surge in demand for robust and cost-effective security solutions among business enterprises to strengthen their cybersecurity infrastructure.

Based on technology, the overall AI in cybersecurity market is segmented into machine learning, natural language processing (NLP), and context-aware computing. In 2022, the machine learning technology segment is estimated to account for the largest share of the overall artificial intelligence in cybersecurity market.The large share and highest CAGR of this segment is primarily attributed to its advanced ability to collect, process, and handle big data from different sources that offer rapid analysis and prediction. It also helps analyze user behavior and learnfrom them to help prevent attacks and respond to changing behavior. In addition, it helps find threats and respond to active attacks in real-time, reduces the amount of time spent on routine tasks, and enables organizations to use their resources more strategically, further supporting the growth of the machine learning technology market in the coming years.

Based on security, the AI in cybersecurity market is segmented into network security, cloud security, endpoint security, and application security. In 2022, the network security segment is estimated to account for the largest share of the overall artificial intelligence in cybersecurity market.The large share of this segment is mainly attributed to the adoption of the Bring Your Own Device (BYOD) trend, the increasing number of APTs, malware, and phishing attacks, the increasing need for secure data transmission, the growing demand for network security solutions, and rising privacy concerns. However, the cloud security segment is slated to register the highest CAGR during the forecast period due to the increased adoption of Internet of Things (IoT) devices, surge in the deployment of cloud solutions, the emergence of remote work and collaboration, and the increasing demand for robust and cost-effective security services.

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Based on application, this market is segmented into data loss prevention, unified threat management, encryption, identity & access management, risk & compliance management, intrusion detection/prevention system, antivirus/antimalware, distributed denial of service (DDoS) mitigation, Security Information and event management (SIEM), threat intelligence, and fraud detection. In 2022, the identity and access management segment is estimated to account for the largest share of the artificial intelligence in cybersecurity market. The large share of this segment is attributed to the increase in security concerns among organizations, the increasing number and complexity of cyber-attacks, the growing need for integrity & safety of confidential information in industry verticals, and the growing emphasis on compliance management. However, the data loss prevention segment is slated to register the highest CAGR during the forecast period due to the increasing regulatory and compliance requirements and the growing need to address data-related threats, including the risks of accidental data loss and exposure of sensitive data in organizations.

Based on industry vertical, the AI in cybersecurity market is segmented into government & defense, retail, manufacturing, banking, financial services, and insurance (BFSI), automotive & transportation, healthcare, IT & telecommunication, aerospace, education, and energy. In 2022, the IT & telecommunication sector is estimated to account for the largest share of the overall AI in cybersecurity market. The large share of this segment is mainly attributed to increasing incidence of security breaches by cybercriminal, shifting preference from traditional business models to sophisticated technologies, and including IoT devices, 5G, and cloud computing.However, the healthcare sector is slated to register the highest CAGR during the forecast period due to the rising sophistication levels of cyber-attacks, the growing incorporation of advanced cybersecurity solutions, the exponential rise in healthcare data breaches, and the growing adoption of IoT & connected devices across the healthcare sector.

Based on deployment, the market is segmented into on-premises and cloud-based. In 2022, the on-premises segment is estimated to account for the largest share of the artificial intelligence in cybersecurity market. The large share of this segment is attributed to the increasing necessity for enhancing the internal processes & systems, security issues related to cloud-based deployments, and the rising demand for advanced security application software among industry verticals. However, the cloud-based segment is slated to register the highest CAGR during the forecast period due to the increasing number of large enterprises using cloud platforms for data repositories and the growing demand to reduce the capital investment required to implement cybersecurity solutions. In addition, several organizations are moving operations to the cloud, leading cybersecurity vendors to develop cloud-based solutions.

Based on geography, in 2022, North America is estimated to account for the largest share of the overall artificial intelligence in cybersecurity market. The large market share of North America is attributed to the presence of major players along with several emerging startups in the region, the increase in government initiatives towards advanced technologies, such as artificial intelligence, the proliferation of cloud-based solutions, the increasing sophistication in cyber-attacks, and the emergence of disruptive digital technologies. However, Asia-Pacific is expected to register the highest CAGR during the forecast period. Factors such as the rising number of connected devices, the increasing privacy & security concerns, the growing awareness regarding cybersecurity among organizations, rapid economic development, high adoption of advanced technologies, such as IoT, 5G technology, and cloud computing are contributing to the growth of this market in Asia-Pacific.

The global artificial intelligence in cybersecurity market is fragmented in nature. The major players operating in this market are Amazon Web Services, Inc. (U.S.), IBM Corporation (U.S.), Intel Corporation (U.S.), Microsoft Corporation (U.S.), Nvidia Corporation (U.S.), FireEye, Inc. (U.S.), Palo Alto Networks, Inc. (U.S.), Juniper Networks, Inc. (U.S.), Fortinet, Inc. (U.S.), Cisco Systems, Inc. (U.S.), Micron Technology, Inc. (U.S.), Check Point Software Technologies Ltd. (U.S.), Imperva (U.S.), McAfee LLC (U.S.), LogRhythm, Inc. (U.S.), Sophos Ltd. (U.S.), NortonLifeLock Inc. (U.S.), and Crowdstrike Holdings, Inc. (U.S.)among others.

Browse in-depth TOC on"Artificial Intelligence In Cybersecurity Market - Global Opportunity Analysis And Industry Forecast (2022-2029)"380 Tables43 Figures441 Pagesclick here:https://www.meticulousresearch.com/product/artificial-intelligence-in-cybersecurity-market-5101

Scope of the Report:

AI in Cybersecurity Market by Component

AI in Cybersecurity Market by Technology

AI in Cybersecurity Market by Security Type

AI in Cybersecurity Market by Application

AI in Cybersecurity Market by Deployment Type

AI in Cybersecurity Market by Industry Vertical

AI in Cybersecurity Market by Geography:

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Artificial Intelligence in Cybersecurity Market Worth $66.22 billion by 2029 -- Exclusive Report by Meticulous Research - PR Newswire

Dublin, March 28, 2022 (GLOBE NEWSWIRE) -- The "Personal Artificial Intelligence and Robotics Market by AI and Robot Type, Components, Devices and Solutions 2022 - 2027" report has been added to ResearchAndMarkets.com's offering.

This report evaluates the market for personalized robots, bot software, and systems. The report also assesses the impact of AI and evaluates the market for AI-enhanced robots and robotic systems for the consumer market. It includes analysis and forecasts for personalized AI and robotics from 2022 through 2027.

There is an emerging service robot market that has very different dynamics than traditional industrial robotics. Service robots are very personal and include both physical robots as well as logical (e.g. software) bots that act on behalf of their owners, managers, and/or controllers. Service robots will ultimately evolve beyond purpose-built machines to become more general-purpose tools for supporting human safety and lifestyle needs.

While Asia is the predominant market today, we see the United States as a high growth market as the USA has grossly underinvested in the personal healthcare infrastructure market. Largely depending upon informal family support, personalized care represents an industry that is sustained by poorly paid workers - largely immigrants and women of color. This is poised to change with carebots, programmed to oversee the care for the elderly and/or those with healthcare issues that require constant attention.

We see substantial overall industry growth across a wide range of robot types that engage in diverse tasks such as home cleaning, personalized healthcare service, home security, autonomous cars, robotic entertainment and toys, carebots services, managing daily schedules, and many more assistive tasks. Furthermore, we see a few key factors such as the aging population, personalization services trends, and robot mobility will drive growth in this industry segment.

In addition, developments in artificial intelligence and cognitive computing support the inclusion of these technologies with virtually every type of robot including general-purpose bots that act on behalf of their owner. The combination of AI and IoT (AIoT) will further support market development, leading to semi-autonomous markets that interact with humans directly as well as other machines, and assets through interconnected systems.

Select Report Findings:

Key Topics Covered:

1 Executive Summary

2 Introduction2.1 Overall AI and Robotics Market2.2 Personal AI and Robotics Market2.3 Development of Autonomous Agents and Care Bots2.4 AI Technology and Deep Learning Hacks2.5 Contextual Awareness and Intelligent Decision Support Systems2.6 Aging Population, Mass Digitization, and Human-Robotics Interaction Accelerates Growth2.7 Evolution of Personal Assistants and Smart Advisory Services2.8 Price Declines Drive Adoption for Low-Cost Robotics2.9 Open Software Platforms Accelerate Growth but Raises Ethical Concerns2.10 Technical Complexity and Lack of Skilled Robot Designer May Hinder Growth

3 Cloud Robotics to Drive Democratization and Expanded Usage3.1 Enabling Technologies3.1.1 Fifth Generation Cellular3.1.2 Teleoperation3.1.3 Cloud Computing3.1.4 Edge Computing3.2 Market Opportunities

4 Personal AI and Robotics Market, Application, and Ecosystem Impact4.1 Market Segmentation and Application Scenario4.1.1 Personal Robots and Robotics Components4.1.2 Digital Personal Assistant Services4.1.3 AI-Based System and Analytics4.2 Economic Impact including Job Market4.3 Investment Trends in Robotics and AI Systems4.4 Robotics Patents a Key Area to Watch

5 Personal AI and Robotics Market Drivers and Challenges5.1 Personal AI and Robotics Market Dynamics5.2 Personal AI and Robotics Market Drivers5.3 Personal AI and Robotics Market Challenges

6 Personal AI and Robot Market Outlook and Forecasts 2022 - 20276.1 Aggregate Global Market Forecast 2022 - 20276.2 Personal Robot Market Forecast 2022 - 20276.3 Digital Personal Assistant Market Forecast 2022 - 20276.4 Personal AI-Based Solution Market Forecast 2022 - 2027

7 AI and Robotics Company Analysis7.1 Assessment of Select Market Leaders7.2 Honda Motor Co. Ltd.7.3 Samsung Electronics Co Ltd.7.4 iRobot Corporation7.5 Sony Corporation7.6 F&P Robotics AG7.7 ZMP INC.7.8 Segway Inc.7.9 Neato Robotics, Inc.7.10 Ecovacs Robotics, Inc.7.11 Hasbro, Inc.7.12 Parrot SA7.13 Geckosystems Intl. Corp.7.14 Hoaloha Robotics7.15 Lego Education7.16 Sharp Corporation7.17 Toyota Motor Corporation7.18 WowWee Group Limited7.19 Lely Group7.20 Intel Corporation7.21 AsusTek Computer Inc.7.22 Amazon.com, Inc7.23 RealDoll7.24 True Companion7.25 Robotbase7.26 Dongbu Group7.27 Softbank Robotics7.28 Buddy7.29 Jibo7.30 NTT DoCoMo7.31 Rokid7.32 MJI Robotics7.33 Cubic7.34 5 Elements Robotics7.35 Branto7.36 Aido7.37 Vinclu Gatebox7.38 Future Robot7.39 Apple Inc.7.40 Artificial Solutions7.41 Clara Labs7.42 Google7.43 Microsoft Corporation7.44 Speaktoit Inc.7.45 Facebook7.46 SK Telecom Co, Ltd.7.47 motion.ai7.48 Indigo7.49 24me7.50 Wunderlist7.51 Hound7.52 Mycroft7.53 Ubi7.54 EasilyDo7.55 Evi7.56 Operator7.57 Charlie7.58 Alfred7.59 x.ai7.60 AIVC7.61 EVA7.62 NVidia7.63 Tesla Motors7.64 Baidu7.65 SparkCognition

8 Personal AI and Robot Use Cases8.1 Cleaning Robots8.2 Entertainment Robots8.3 Home Security and Surveillance8.4 Wheel-powered Robot8.5 PARO, Advanced interactive Robot8.6 Vortex, a Programmable Robot8.7 ROBEAR, Nursing Care Robot8.8 AV1, A Small Telepresence Robot

9 Conclusions and Recommendations9.1 Recommendations to Robotics Makers9.2 Recommendations to Investors9.3 Recommendations for AI Companies9.4 Recommendations for Equipment Manufacturers9.5 Future of Personal AI

For more information about this report visit https://www.researchandmarkets.com/r/vplny7

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Global Personal Artificial Intelligence and Robotics Markets, 2022-2027: Leading Solutions for Personalized AI and Robotics are Safety, Information,...

Artificial Intelligence in Imaging Applications and Use Cases

Artificial Intelligence is a massive innovation in all aspects of life. From self-driving cars to talking digital assistants, to robots that can walk, jump and catch things thrown at them. Medicine and in particular imaging are no different. It has now been five years from the infamous and silly statement radiologists will be obsolete in fiver years due to AI.

In actuality, radiologists are in far greater demand than they were fewer years ago. We will explore why AI has failed to meet some of those claims, understand how it works and how it learns. Once understand how it works and how it learns we are in a better position to look at selecting AI algorithms and integrating them into our own workflows.

The goal of AI really is to augment and improve our human resources, so that they can provide better and more efficient healthcare.

Explain some of the key terms and definitions used in AI

Understand the differences between machine learning and deep learning algorithms

Engage in substantive discussions with vendors when selecting AI regarding the training of the algorithm and potential biases Diagram and plan for AI integrations in your local enterprise imaging environment

Evaluate and articulate the cost/benefits of AI and prepare an ROI during the AI selection process

Event Name: Artificial Intelligence in Imaging Applications and Use CasesWebsite: https://acsmb.com/Date: 26 May 2022

ACS

Mobile: (602) 263-8958Email: ask@acsmb.com

See more here:
Artificial Intelligence in Imaging Applications and Use Cases - Krishi Jagran

Acting CEO of Surmont Energy Ltd. Rick Orman has been appointed chief electoral returning officer to overseeUnited Conservative PartyPremier Jason Kenneys leadership vote.

The appointment of the former MLA, a known Kenney supporter, and active, registered lobbyist, generated criticism fromAlberta political commentator Peter McCaffrey who expressed disbelief at the brazen move.

However, Orman told theWestern Standardthatcounting the votestodetermine Kenneys political fate will be livestreamed because he insisted on this open, transparent process.

I think Ive got a pretty good reputation, the years that I was in politics, and I want to maintain that, said Orman.

But I also wanttoadd to the credibility of the process of counting the ballots in a way that is transparent to the extent that I have decided that we are going to video live to theUCPwebsite the video of the opening of the ballots.

So that everyone will be able to see the process is open, transparent, and give everybody confidence that whatever the result is it was done in a fair and forthright manner.

Orman said he set the condition for livestreaming.

Thats part of the conditions that I set down. Thats my role. I made the rules for the accounting. Thats rule Number Oneyoure going to watch it livestream on the website.

Orman replacedreturning officerSteve McLeod who resigned.

Kenney, facing anleadership review, demanded by 22 constituency associations (CA) is fighting for his political life.

There have been calls for the review to be scrapped and aleadership contestheld instead.

Despitewidespread objection,the early in-person leadership review scheduled to be held April 9 in Red Deer, was changed to a virtual meeting and a mail-in vote from April 9-May 11.

The results are expected to be announced May 18.

McCaffrey criticized Ormans appointment by the UCP executive board.

Kenneys allies literally just put someone who is actively lobbying Kenney for taxpayer money in charge of ensuringthere is a fair vote on whether Kenney remains Premier or not, tweeted McCaffrey on his personal account.

Rick and Surmont Energy (the company hes CEO of) have been holding regular lobbyist meetings with senior ministers in the UCP government, asking for Financial Benefits/Grants for their oilsands project.

I dont know Rick, so maybe hes a nice guy, but hes entirely unsuitable to fill what should be a neutral administrative role.

Rick is a former PC MLA who is friends with key Kenney insiders and allies.

He endorsed Kenney in the PC leadership race.

And,unbelievablyeven I cant believe theyre this brazenHes a registered, active lobbyist, lobbying the UCP.

Orman served as MLA for Calgary-Montrose from 1986-1993.

He was appointed acting CEO of Surmont Energy Ltd., a private in-situ oilseeds production company, in April 2021.

Why I registered as a lobbyist is we have an oilsands project that is converting bitumen to asphalt. We areworking with First Nations, the aboriginal groups. Theres a fund they can access to participate in development of this project, said Orman.

This will be the first and only project of its kind where they will actually own 50-50 of the resource.

Theres a program called the Alberta Indigenous Opportunities fund. It is just for First Nations to access. There are groups that are wanting to access that fund and participate in the Surmont project. We were out presenting to the minister of energy, the minister of environment, and the minister of Aboriginal Affairs. Thats the only lobbying Ive been doing and that was the purpose of it.

Orman agreed to take on the roleof returning officer Tuesday after McLeod resigned.

He quit and they were in a bit of a jam so they asked me if I would do it and I said I would, he said.

I see it as a service to the partyAnd my goal is to ensure that we as a party continue to be successful and have a view to winning the next election.

I sort of look at the chief electoral returning officer,my roleis the day the ballots arrive at the accounting firm Deloitte in Edmonton its to make sure that along with Deloittethateverythingfollows the rules that have been laid down by the party.

Its a fairly secure process that way that the ballots are delivered directly to Deloitte and Deloitte will be involved in opening the ballots.

He compareshisrole to that of an umpire.

Youve got to make sure everybody plays by the rules and plays inside the lines. Thats my goal. We will make sure that the process is straightforward and, as I said, follows the rules.

Thats why I decided to do it. I felt a responsibility. Im still in politics and still involved because Im a strong conservative and I want to make sure that everything that happens inside the lines.

Ive been around a long time. I may have a bias,but it plays no role in what Im doing.

Slobodian is the Senior Manitoba Columnist for the Western Standard

lslobodian@westernstandardonline.com

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WEF publishes toolkit on artificial intelligence and kids - Western Standard

This Tuesday 5 April 1pm Eastern OODA Salon features The Honorable Katharina McFarland in a discussion on some of the implications and actions we should all take regarding AI.

Katharina McFarland has led change in a wide array of national security domains including Space, Missile Defense, Acquisition and Nuclear Posture. She was also named as a Commissioner of the National Security Commission on Artificial Intelligence. In this OODA Salon we will hear directly from her on a range of topics, focusing on actions we can take to improve the application of AI to national security while protecting privacy and our way of life.

OODA Salons are for OODA members only, and all full members receive invites to participate. For more information on OODA membership see: Join OODAloop.com

Use OODA Loop to improve your decision making in any competitive endeavor. Explore OODA Loop

The greatest determinant of your success will be the quality of your decisions. We examine frameworks for understanding and reducing risk while enabling opportunities. Topics include Black Swans, Gray Rhinos, Foresight, Strategy, Stratigames, Business Intelligence and Intelligent Enterprises. Leadership in the modern age is also a key topic in this domain. Explore Decision Intelligence

We track the rapidly changing world of technology with a focus on what leaders need to know to improve decision-making. The future of tech is being created now and we provide insights that enable optimized action based on the future of tech. We provide deep insights into Artificial Intelligence, Machine Learning, Cloud Computing, Quantum Computing, Security Technology, Space Technology. Explore Disruptive/Exponential Tech

Security and resiliency topics include geopolitical and cyber risk, cyber conflict, cyber diplomacy, cybersecurity, nation state conflict, non-nation state conflict, global health, international crime, supply chain and terrorism. Explore Security and Resiliency

The OODA community includes a broad group of decision-makers, analysts, entrepreneurs, government leaders and tech creators. Interact with and learn from your peers via online monthly meetings, OODA Salons, the OODAcast, in-person conferences and an online forum. For the most sensitive discussions interact with executive leaders via a closed Wickr channel.The community also has access to a member only video library. Explore The OODA Community

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OODA Salon Tuesday 5 April 2022 On Winning In The Artificial Intelligence Era - OODA Loop