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Artificial Intelligence

AI Market Analysis Report 2023: Total Global AI Solutions Market will Reach $301.2 Billion by 2028, Growing at 29.4% CAGR

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Dublin, Feb. 17, 2023 (GLOBE NEWSWIRE) — The “AI Market by Technology Type, Deployment Method, Solution Type, Integration (Technologies, Networks, and Devices) and Industry Verticals 2023 – 2028” report has been added to ResearchAndMarkets.com’s offering.

This report evaluates the AI technology and solutions market, including an analysis of leading AI vendors, strategies, solutions and applications. The report assesses the state of AI development, implementation, and operation. The report analyzes the forecasts AI market sizing for by technology type, deployment method, solution type, network and technology integration, and by industry verticals from 2023 through 2028.

The AI segment is currently very fragmented, characterized by most companies focusing on silo approaches to solutions. Longer-term, the publisher sees many solutions involving multiple AI types as well as integration across other key areas such as the Internet of Things (IoT) and data analytics.

There are many potential use cases for AI within the cybersecurity domain. For example, AI may be used in IoT to bolster security, safeguard assets, and reduce fraud. There are varying opinions about security in IoT.

For example, some companies favor a distributed(decentralized) approach whereas other companies believe a more centralized approach leveraging strictly centralized cloud architecture makes more sense. We see little possibility in which signature-based security solutions will work with IoT in an edge computing environment for a variety of reasons including the limitation on the throughput of communications between distributed endpoints and centralized cloud.

AI has various advantages including the fact that it is a more lightweight application (because it does not require all the data that comes with tracking digital signatures/code for known viruses), more effective in identifying malware, easier and less costly to maintain as there is no need to constantly identify new malware code. This is all because AI-based security is looking for malicious behaviors rather than known malicious code.

Longer-term, AI will move beyond fraud prevention and prevention of malicious acts as AI will be used to feed advanced analytics and decision making. This will be especially true in IoT solutions involving real-time data as AI will be used to make determinations for autonomous actions.

Consumer-facing apps and services supported by AI are many and varied including chatbots and Virtual Personal Assistants (VPA) in support of customer care and lifestyle enhancement. The automobile industry is another example in which AI is becoming increasingly useful, both in the near term for solutions such as the inclusion of VPAs, and longer-term use cases such as support of self-driving vehicles.

Another consumer market area in which AI will be integrated is wearable technology. As wearables become more mainstream and integrate into everyday life with increasing dependency, there will be a need for integration with Artificial Intelligence, Big Data, and Analytics.

AI is expected to have a big impact on data management. However, the impact goes well beyond data management as we anticipate that these technologies will increasingly become part of every network, device, application, and service. One area important to enterprise will be Intelligent Decision Support Systems (IDSS), which are a form of Expert System that utilize AI to optimize decision making. IDSS will be used in many fields including agriculture, medicine, urban development, and other areas. IDSS will also be used in policy making and strategy at the highest levels of enterprises as well as governmental organizations.

Key Metrics

Report Attribute Details
No. of Pages 248
Forecast Period 2022 – 2027
Estimated Market Value (USD) in 2022 $80 Billion
Forecasted Market Value (USD) by 2027 $282 Billion
Compound Annual Growth Rate 28.6%
Regions Covered Global

Select Report Findings:

  • Total global AI solution market will reach $301.2 billion by 2028, growing at 29.4% CAGR
  • Global unsupervised machine learning market will reach $15.6 billion by 2028, growing at 25.1% CAGR
  • The combination of AI and IoT (AIoT) will drive up to 27% of new AI systems integration, primarily involving IIoT
  • AI solutions in a public cloud environment shall be almost three times those of private cloud deployments through 2028
  • Key AI technology systems integration opportunities include Expert Systems, Decision Support Systems, Fuzzy Systems, and Multi-Agent Systems

Key Topics Covered:

1.0 Executive Summary

2.0 Introduction
2.1 Defining Artificial Intelligence
2.1.1 Artificial General Intelligence
2.1.2 Artificial Super Intelligence
2.1.3 Artificial Intelligence Language
2.1.4 Conversational User Interfaces
2.2 Artificial Intelligence Types
2.3 Artificial Intelligence Systems
2.4 AI Outcomes and Enterprise Benefits
2.5 Cognitive Computing and Swarm Intelligence
2.6 AI Market SWOT Analysis
2.6.1 Market Drivers and Strengths
2.6.2 Market Constraints and Threats
2.6.3 Market Opportunities
2.7 AI Technology Goals
2.8 AI Tools and Approaches
2.9 AI Market Predictions
2.10 AI Market Landscape
2.10.1 Embedded Devices and Things
2.10.2 AI Software and Platforms
2.10.3 AI Component and Chipsets
2.10.4 AI Services and Deployment Options
2.11 AI Patent and Regulatory Framework
2.12 Value Chain Analysis
2.13 Competitive Landscape Analysis

3.0 Technology and Application Analysis
3.1 AI Technology Matrix
3.1.1 Machine Learning
3.1.2 Natural Language Processing
3.1.3 Computer Vision
3.1.4 Speech Recognition
3.1.5 Context-Aware Processing
3.1.6 Artificial Neural Network
3.1.7 Predictive APIs
3.1.8 Autonomous Robotics
3.2 AI Technology Readiness
3.2.1 Machine Learning APIs
3.2.2 IBM Watson API
3.2.3 Microsoft Azure Machine Learning API
3.2.4 Google Prediction API
3.2.5 Amazon Machine Learning API
3.2.6 BigML
3.2.7 AT&T Speech API
3.2.8 Wit.ai
3.2.9 AlchemyAPI
3.2.10 Diffbot
3.2.11 PredictionIO
3.2.12 General Application Environment
3.3 AI Technology and Solution Integration
3.3.1 AI in Emotion Detection Solutions
3.3.2 AI in IoT Applications and Big Data Analytics
3.3.3 AI in Data Science and Predictive Analytics
3.3.4 AI in Edge Computing and 5G Network
3.3.5 AI in Cloud Computing and Machine Learning
3.3.6 AI in Smart Machines and Digital Twin Technologies
3.3.7 AI in Factory Automation and Industry 4.0
3.3.8 AI in Building Automation and the Smart Workplace
3.3.9 AI in Cloud Robotics and Public Security
3.3.10 AI in Self-Driven Networks
3.3.11 AI in Predictive 3D Design
3.4 AI Application Delivery Platforms and Business Models
3.4.1 The Role of AI Software
3.4.2 AI and Machine Learning as a Service
3.5 Enterprise Adoption and AI Investment
3.5.1 Market Leaders in AI Funding and Initiatives
3.5.2 Enterprise AI Drive Productivity Gains
3.6 AI Applications in Industry Verticals
3.6.1 Leading Industry Verticals in AI Solution Implementation
3.6.2 AI Use Cases by Company and Solution

4.0 AI Ecosystem Analysis
4.1 NVidia Corporation
4.2 IBM Corporation
4.3 Intel Corporation
4.4 Samsung Electronics Co Ltd.
4.5 Microsoft Corporation
4.6 Google Inc.
4.7 Baidu Inc.
4.8 Qualcomm Incorporated
4.9 Huawei Technologies Co. Ltd.
4.10 Fujitsu Ltd.
4.11 H2O.ai
4.12 Juniper Networks, Inc.
4.13 Nokia Corporation
4.14 ARM Limited
4.15 Hewlett Packard Enterprise
4.16 Oracle Corporation
4.17 SAP
4.18 Siemens AG
4.19 Apple Inc.
4.20 General Electric
4.21 ABB Ltd.
4.22 LG Electronics
4.23 Koninklijke Philips N.V
4.24 Whirlpool Corporation
4.25 AB Electrolux
4.26 Wind River Systems Inc.
4.27 Cumulocity GmBH
4.28 Digital Reasoning Systems Inc.
4.29 SparkCognition Inc.
4.30 KUKA AG
4.31 Rethink Robotics
4.32 Motion Controls Robotics Inc.
4.33 Panasonic Corporation
4.34 Haier Group Corporation
4.35 Miele
4.36 Next IT Corporation
4.37 Nuance Communications Inc.
4.38 InteliWISE
4.39 Facebook Inc.
4.40 Salesforce
4.41 Amazon Inc.
4.42 SK Telecom
4.43 motion.ai
4.44 Buddy
4.45 AOL Inc.
4.46 Tesla Inc.
4.47 Inbenta Technologies Inc.
4.48 Cisco Systems
4.49 MAANA
4.50 Veros Systems Inc.
4.51 PointGrab Ltd.
4.52 Tellmeplus
4.53 Xiaomi Technology Co. Ltd.
4.54 Leap Motion Inc.
4.55 Atmel Corporation
4.56 Texas Instruments Inc.
4.57 Advanced Micro Devices Inc.
4.58 XILINX Inc.
4.59 Omron Adept Technology
4.60 Gemalto N.V.
4.61 Micron Technology
4.62 SAS Institute Inc.
4.63 AIBrian Inc.
4.64 QlikTech International AB
4.65 MicroStrategy Incorporated
4.66 Brighterion Inc.
4.67 IPsoft Inc.
4.68 24/7.ai Inc.
4.69 General Vision Inc.
4.70 Sentient Technologies Holdings Limited
4.71 Graphcore
4.72 CloudMinds
4.73 Rockwell Automation Inc.
4.74 Tend.ai
4.75 SoftBank Robotics Holding Corp.
4.76 iRobot Corp.
4.77 Lockheed Martin
4.78 Spacex
4.79 Fraight AI
4.80 Infor Global Solutions
4.81 Presenso
4.82 Teknowlogi

5.0 Market Analysis and Forecasts 2023 – 2028
5.1 AI Market
5.2 AI Market by Segment
5.2.1 Hardware
5.2.2 Software
5.2.3 Services
5.3 AI Market by Management Functions
5.4 AI Market by Technology
5.4.1 AI Technology by Major Solution Type
5.4.2 Machine Learning by Solution Type
5.5 AI Market by Industry Vertical
5.5.1 Medical and Healthcare
5.5.2 Manufacturing
5.5.3 Consumer Electronics
5.5.4 Automotive and Transportation
5.5.5 Retail and Apparel
5.5.6 Marketing and Advertising
5.5.7 FinTech
5.5.8 Building and Construction
5.5.9 Agriculture
5.5.10 Security and Surveillance
5.5.11 Government, Military, and Aerospace
5.5.12 Human Resource
5.5.13 Legal and Law
5.5.14 Telecommunication and IT
5.5.15 Oil, Gas, and Mining
5.5.16 Logistics
5.5.17 Education and Instruction
5.6 AI Market by Solution Type
5.7 AI Market by Deployment Method
5.7.1 AI Deployment Options
5.7.2 Private vs. Public Cloud Deployment
5.8 AI Market by AI System
5.9 AI Market by AI Type

6.0 Conclusions and Recommendations

For more information about this report visit https://www.researchandmarkets.com/r/qrvpzu-market-by?w=12

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Artificial Intelligence

Saviynt Appoints James Ross as RVP-ANZ to Strategically Accelerate Growth in the Australia and New Zealand Region

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LOS ANGELES, May 22, 2024 /PRNewswire/ — Saviynt, a leading provider of cloud-native identity and governance platform solutions, today announced the appointment of James Ross as RVP-ANZ as the company has seen rapid growth in the Australia and New Zealand (ANZ) region, with double digit growth year over year.

Saviynt has solidified its position as a key player in the cloud identity security landscape with its Identity Cloud. The company’s continued focus on innovation and client satisfaction has contributed significantly to building a safer Australia with prominent customers across the energy and utilities, finance, retail, energy, and transport and logistics sectors.
“James’ appointment as the Regional Vice President (RVP) for ANZ marks a strategic move to accelerate growth and solidify market presence in the region,” said Dan Mountstephen, SVP APAC at Saviynt. “With a proven track record of dynamic leadership at Collibra, ForgeRock, and CA Technologies, James brings a wealth of experience and expertise to the role. His visionary approach and collaborative spirit are poised to inspire and mobilize teams toward ambitious targets.”
Saviynt has consistently expanded its client base and deepened its relationships with existing customers through customized solutions and unparalleled support, cementing its reputation as a trusted partner in the region’s cybersecurity ecosystem. As RVP ANZ, Ross is set to foster key partnerships and implement agile strategies to propel the company towards new heights of success in the dynamic ANZ market.
“Joining Saviynt excites me because it’s an opportunity to help more organizations simplify their identity ecosystem in order to drive efficiencies and improved security posture. I am committed to leveraging Saviynt’s cutting-edge solutions to continue to broaden our partnerships in the region to improve our accessibility for customers, strengthen our regional delivery, whilst continuing to provide a great customer experience,” said Ross.
To learn more about Saviynt, please visit our website.
About Saviynt
Saviynt empowers enterprises to secure their digital transformation, safeguard critical assets, and meet regulatory compliance. With a vision to provide a secure and compliant future for all enterprises, Saviynt’s cutting-edge solutions have been recognized as industry leaders. For more information, please visit www.saviynt.com.
Press Contact
Jacklyn [email protected]
Photo: https://mma.prnewswire.com/media/2418209/James_Ross_RVP_ANZ_Saviynt.jpg
 

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Appdome Sweeps Cybersecurity Excellence Awards

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Unified Mobile Defense Platform Recognized for Innovation and Leadership Across Nine Cybersecurity Categories
REDWOOD CITY, Calif., May 21, 2024 /PRNewswire/ — Appdome, the mobile app economy’s one-stop shop for mobile defense, today announced it has received a total of nine (9) Cybersecurity Excellence Awards. The Appdome Unified Mobile App Defense Platform was awarded best in class across nine categories in recognition of the comprehensive breadth, depth and value of the Appdome platform to brands and enterprises alike.

“We congratulate Appdome on being recognized as an award winner in 9 categories of the 2024 Cybersecurity Excellence Awards,” said Holger Schulze, CEO of Cybersecurity Insiders and founder of the 600,000-member Information Security Community on LinkedIn, which organizes the 9th annual Cybersecurity Excellence Awards. “With over 600 entries across more than 300 categories, the awards are highly competitive. Appdome’s achievement reflects outstanding commitment to the core principles of excellence, innovation, and leadership in cybersecurity.”
Within a single pane of glass, Appdome delivers the most complete set of no-code, no-SDK, fully automated mobile defenses to mobile brands and enterprises, empowering mobile developers, cybersecurity, fraud and IT teams to deliver on any mobile cyber objective quickly and easily.
The nine (9) categories in which Appdome received a Cybersecurity Excellence Award are:
Mobile Security Platform: Appdome is the only enterprise-grade mobile security platform built for full mobile defense lifecycle management, visibility and control to brands and enterprises alike, including key features for build, test, release, monitor, response, and compliance automation. Mobile Security Automation: Appdome is the only mobile defense solution that uses machine learning to code and build over 300+ mobile app security, anti-fraud, anti-cheat, anti-malware, anti-bot, geo-compliance and other defenses in Android & iOS apps in the DevOps pipeline.Mobile Social Engineering Defense:  The Appdome Social Engineering Prevention solution is the first of its kind to protect mobile users from voice phishing (Vishing) scams and other imposter scams, T.O.A.D. attacks, Remote Access Trojans (RATs), Gold Pickaxe, FaceID bypass and more without an SDK or external servers.Mobile Bot Defense: The Appdome MOBILEBot™ Defense solution is the first mobile anti-bot solution to come out of the box compatible with any industry standard web application firewall (WAF) on the market and provide multi-layered bot, credential stuffing and Account Take Over (ATO) defense without an SDK, external server, performance limits, or restrictions.Mobile Geo Compliance:  Only the Appdome Mobile Geo-Compliance solution guarantees accurate and authentic geo location of mobile devices, applications and users without code or coding in the mobile app, without implementing an SDK and without deploying additional servers.Mobile XDR: The Appdome ThreatScope™ Mobile XDR solution is the only mobile attack and threat monitoring service that comes pre-packaged into the mobile defense lifecycle, requires no device agent, device profile, separate code, coding, SDK or server, and provides real-time detection and automated response across internal (employee facing) and external (consumer facing) Android & iOS apps.DevOps Mobile Security Tool: The Appdome platform’s fully integrated Security Release Management™ capabilities and Appdome Certified Secure™ mobile DevSecOps certification offer the only true enterprise-grade compliance assurance, audit and control for mobile defense at brands and enterprises, allowing quick verification that all security, anti-fraud and compliance objectives have been met.   Mobile Application Security:  With 300+ separate defenses for mobile apps, Appdome has the most comprehensive set of mobile application security features available in one product, fully compatible with all mobile Android & iOS apps.”Nine Cybersecurity Excellence Awards for Mobile Defense tells a very compelling story for the incredibly complex Dev, Sec, and Ops challenges organizations face detecting and defeating mobile-based risks and attacks,” said Chris Roeckl, Chief Product Officer at Appdome. “Point products make these challenges worse by adding complexity and overloading already taxed cyber and engineering teams. Appdome is the only platform simplifying work, bringing all these unique challenges under a single pane of glass, delivering 300+ protections and simultaneously resolving the security, fraud, resilience and compliance challenges brands and enterprises face.”
Learn more about the award-winning Appdome Platform at www.appdome.com or request a personalized demo at https://www.appdome.com/request-a-demo/appdome-home/
The full list of awards are available from the Cybersecurity Excellence Awards website  https://cybersecurity-excellence-awards.com/
About AppdomeThe Appdome mission is to protect every mobile app and mobile user in the world. Appdome provides the mobile industry’s only Unified Mobile App Defense platform, powered by a patented mobile coding engine, Threat-Events™ Threat-Aware UX/UI Control, and ThreatScope™ Mobile XDR. Using Appdome, mobile brands eliminate complexity, ship faster and save money by delivering 300+ Certified Secure™ mobile app security, anti-malware, anti-fraud, mobile anti-bot, anti-cheat, geo compliance, MiTM attack prevention, code obfuscation, social engineering and other protections in Android and iOS apps with ease, inside the mobile DevOps and CI/CD pipeline. Leading financial, healthcare, government and m-commerce brands use Appdome to protect Android and iOS apps, mobile customers and mobile businesses globally. Appdome holds several patents including U.S. Patents 9,934,017 B2, 10,310,870 B2, 10,606,582 B2, 11,243,748 B2 and 11,294,663 B2. Additional patents pending.
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Courageous Whistleblowers Reclaim Derogatory Terms As Data Shows 80% of Financial Professionals Stay Silent on Suspected Internal Fraud, Fearing Retaliation

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Enron whistleblower, Sherron Watkins, alongside stars of Apple TV’s The Big Conn, Sarah Carver and Jennifer Griffith, reclaim derogatory labels for whistleblowers          Concerning new data shows more than half of financial professionals in the UK and US have spotted or suspected internal fraud in their workplaces, yet four out of five stay silent fearing retaliation          32% of professionals in finance have seen whistleblowers victimized behind their back or to their faceJACKSONVILLE, Fla., May 21, 2024 /PRNewswire/ — New data from fraud detection software company Medius shows more than half of financial professionals in the UK and US (56%) have spotted or suspected internal fraud in their workplaces yet four in five (81%) stayed silent. When asked why, 45% of professionals cited the fear of recrimination.

Whistleblowers Sherron Watkins, Sarah Carver and Jennifer Griffith have joined forces to reclaim the derogatory names they were called after reporting serious internal financial fraud.
To help empower others to come forward, the whistleblowers are reclaiming the terms “snitch”, “rat” and “traitor”.
Sherron Watkins is the former Vice President of Enron Corporation who alerted the CEO to accounting irregularities, warning the organization “‘might implode in a wave of accounting scandals.” Watkins received national acclaim for her courageous actions and TIME magazine named her along with two others as their Persons of the Year in 2002, calling them simply ‘The Whistleblowers.’
Sarah Carver and Jennifer Griffith are the stars of Apple TV’s The Big Conn after they exposed a fraud scheme of more than $550 million while employed at the Social Security Administration. In efforts to silence their disclosures, they experienced multiple acts of severe retaliation and were denied protection. Ultimately, both Carver and Griffith were forced from employment.
Concerns of repercussions are vindicated – the survey reveals the extent to which financial professionals in the UK and US have witnessed negative consequences for whistleblowers firsthand:           
59% have seen whistleblowers subsequently left out of important decisions           33% have seen whistleblowers moved to a different team           32% have heard whistleblowers called derogatory names behind their backs or directly to their faceWhen asked what would encourage them to flag suspicious activity, 93% of workers surveyed would feel more comfortable doing so if they had more evidence, yet nearly half (48%) said the legal system simply does not adequately protect whistleblowers.
Jim Lucier, CEO at Medius, a leading global provider of cloud-based accounts payable automation and spend management solutions, said:
“White collar crime is on the rise and no organization is safe. Employees are the last line of defense against fraud but confidence to report suspicious activity is declining. AI anomaly-detection technology can provide employees with the evidence and assurances they need to be more forthcoming. Building a culture where employees feel comfortable to report their suspicions could save organizations millions in the long-run.”
Medius works with over 4,000 customers across 102 countries and processes $200 billion in annual spend. It uses the power of AI and automation to detect fraud the moment invoices are submitted safeguarding against bad actors and potential threats, internal and external.
Sherron Watkins, whistleblower who was called a “snitch”, said: “When someone is troubled by corporate wrongdoing and they attempt to sound the alarm, the pathway is uncharted, things happen organically. Normal rational people speak about their concerns with their closest friends and work colleagues, who often suggest staying safe saying “keep your head down, if you must report, go soft, nothing black and white.” Yet black and white evidence is what is needed to get the attention of those in power, either internally or with media or outside watchdog groups to prevent or stop fraudulent activity.”  
Jennifer Griffith, whistleblower who was called a “traitor”, said: “Choosing to blow the whistle involves more than just the desire to right a wrong.  It’s about protecting their employers from fraud. However, it’s more often than not seen as causing trouble for the employer, or as a self-serving action to get a financial reward. No one who chooses to blow the whistle expects to have their reputation attacked, their credibility impugned or to lose their job. The cost of ignoring a whistleblowers complaints are far greater than acknowledging that a problem exists and taking steps to fix it.  It’s been 19 years since I blew the whistle and the problems that existed then with the Social Security Administration still exist today. We must do more to protect whistleblowers.”
Sarah Carver, whistleblower who was called a “rat”, said: “The government’s attempt to conceal the fraud resulted in exacerbated damage, whereas a more prudent approach would have entailed immediate acknowledgement and rectification upon initial disclosure. The retaliatory measures aimed at silencing me made me stronger and fight harder to find someone to listen and stop the fraud.”
Georgina Hallford-Hall, CEO of Whistleblowers UK, said: “Too many organisations talk the talk but fail to engage with whistleblowers often at great cost to both. Technology used properly can remove the fear that both organisations and whistleblowers have about dealing with whistleblowing because it removes the person and focuses on the concerns or malfeasance. WhistleblowersUK are calling on the UK government to introduce an Independent Office of the Whistleblower to protect everyone from discrimination setting standards that end stigmatisation and discrimination making it safe to speak up.”
The billboard advertising campaign runs on Wall Street from Saturday, 18th May to Friday, 24th May 2024.
For more information about how Medius can prevent fraud, visit: https://www.medius.com/whistleblowing/
Notes to Editor
Methodology
The research was conducted by Censuswide with 1500 financial professionals in the UK and US (aged 18+) between 04/22/24 – 05/07/24. Censuswide abide by and employ members of the Market Research Society which is based on the ESOMAR principles and are members of The British Polling Council.
For more information, please contact: 
Fight or Flight for [email protected] / +44 330 133 0985
This information was brought to you by Cision http://news.cision.com
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