Artificial intelligence (AI) has become an emerging growth sector in the tech economy. Both start-ups and established tech companies are working to capitalize on the technology. Analysts at Grand View Research estimate the AI market could expand to $1.8 trillion annually by 2030, suggesting a compound annual growth rate of 38% over the next eight years. These increases should serve as a solid tailwind for numerous AI stocks, and both Alphabet (GOOGL 5.11%) (GOOG 5.20%) and Palantir (PLTR 7.72%) appear well-positioned to enrich long-term investors through AI. Let's find out a bit more about these two artificial intelligence stocks.
From their DeepMind project beating champions of Alpha Go at their own game, to recent announcements Magneta and Springboard, not to mention driverless cars, its clear that AI and Machine Learning are central to Google's strategy across its vast portfolio. In a recent interview with Hollywood Reporter, Alphabet chairman Eric Schmidt played down the fears that surround advancements in AI: 'To be clear, we're not talking about consciousness, we're not talking about souls, we're not talking about independent creativity." However, being acutely aware of the concerns around intelligent technology, the company's AI research division Google Brain recently published an AI Precision Safety whitepaper. Powerful Infrastructure Underpinning all of these projects, as well as the company's flagship Search, Translate and Youtube products is Google Cloud Platform, providing developers with the tools to build a range of programs from simple websites to complex, intelligent applications. As part of our AI in Business Festival, we spoke to Miles Ward, Global Head of Solutions at Google Cloud Platform, to find out more about the machine learning tools they offer to developers. From their DeepMind project beating champions of Alpha Go at their own game, to recent announcements Magneta and Springboard, not to mention driverless cars, its clear that AI and Machine Learning are central to Google's strategy across its vast portfolio. In a recent interview with Hollywood Reporter, Alphabet chairman Eric Schmidt played down the fears that surround advancements in AI: 'To be clear, we're not talking about consciousness, we're not talking about souls, we're not talking about independent creativity."
Artificial intelligence and machine learning are becoming a bigger part of our world, which has raised ethical questions and words of caution. Hollywood has foreshadowed the lethal downside of AI many times over but two iconic films illustrate problems we might soon face. In "2001: A Space Odyssey," the ship is controlled by the HAL 9000 computer. It reads the lips of the astronauts as they share their misgivings about the system and their intention to disconnect it. In the most famous scene, Keir Dullea's Dave Bowman is trapped in an airlock. He says, "Open the pod bay doors, HAL."
From accountancy to anti-fraud measures, the various technologies that exist under the FinTech umbrella have always deployed the latest innovations. When it comes to the application of artificial intelligence (AI) in finance, startups are proving to be every bit as important as the tech giants that dominate the AI space. In Europe, startups up and down the continent are turning to Big Data and machine learning techniques to answer challenges as diverse as the FinTech ecosystem itself. With the global market for AI in FinTech expected to be worth $54 billion by 2032, PYMNTS looks at five European startups that are paving the way. In the realm of accounting software, machine learning is used to automate routine data entry and analysis.
The use of AI-powered cybersecurity tools stands to be one of the growing AI trends, AI will power up cybersecurity by assisting with the detection and prevention of threats. For instance, by identifying patterns and learning to spot fraud, preventing unauthorized access and cyber-attacks by learning to identify unusual or threatening activity. AI-based cybersecurity systems provide the most up-to-date knowledge of industry-specific and global threats. Such decisions depend on what could probably be used to attack your enterprise. Prescriptive insights enable organizations to configure and increase controls and processes to hone their cyber resilience most effectively.
Warehouse workers don't have an easy job. In an on-demand fulfillment economy the work is ceaseless, the pay low, and the drive for efficiency brutal. Earlier this year the Department of Labor even stepped in with an initiative attempting to safeguard warehouse workers' rights. Add to that the resigned inevitability hovering over many of these jobs. Robots, already prominent in logistics operations, are steadily taking on tasks that previously required humans, including in the crucial final stage of picking and sorting.
Humanity at a Crossroads--Artificial Intelligence is one of the most intriguing topics today, filled with various arguments and views on whether it's a blessing or a threat to humanity. We might be at the crossroads, but what if AI itself is already crossing the line? If we look at "I, Robot," a sci-fi film that takes place in Chicago circa 2035, highly intelligent robots powered by artificial intelligence fill public service positions and have taken over all the menial jobs, including garbage collection, cooking, and even dog walking throughout the world. The movie came out in 2004 starring Will Smith as Detective Del Spooner who eventually discovers a conspiracy in which AI-powered robots may enslave and hurt the human race. Stephen Hawking, famed physicist, also once said: "Success in creating effective AI could be the biggest event in the history of our civilization. So we can't know for sure if we'll be infinitely helped by AI, or ignored by it and side-lined, or conceivably destroyed by it."
Hisense, provider of high-performance televisions and appliances, announces the availability of its first ULED Google TV, the U6H. Serving as the brand's introduction to the premium TV category, the U6H offers premium features like Quantum Dot Color, Dolby Vision IQ, and Game Mode Plus, at an affordable price. The U6H will be available in four TV sizes ranging from 50 to 75-inches. AI and ML News: Why SMBs Shouldn't Be Afraid of Artificial Intelligence (AI) "We've worked hard over the past few years to put premium TV options within people's reach, and we're continuing that in 2022 with our new lineup, specifically with our U6H" "We've worked hard over the past few years to put premium TV options within people's reach, and we're continuing that in 2022 with our new lineup, specifically with our U6H," said David Gold, President of Hisense USA. "With an even more robust audio and visual experience at a lower price point than our competitors, the 2022 U6 series is a Hisense television that's great for everyone."
AI and ML News: Why SMBs Shouldn't Be Afraid of Artificial Intelligence (AI) "We have SOC alerts scheduled. So whenever we receive an alert, we have knowledge on that endpoint's health and patch status, helping us identify the cause of the SOC alert [and], in turn, optimizing the time taken for troubleshooting." It has also been positioned as a Major Player in the IDC MarketScape: Worldwide UEM Software for Ruggedized/Internet of Things Device Deployments 2022 Vendor Assessment (doc #US48325322, May 2022). The IDC MarketScape: Worldwide UEM Software 2022 Vendor Assessment report notes, "Patch management is one of the main capabilities across Windows and Mac platforms, as well as extensive patch and vulnerability management support for third-party apps and software on both platforms. It also supports broader automation of PCLM routines such as patches, deploying software and OS imaging (in addition to mobile device management) and application management."
AIOps, or artificial intelligence for IT operations, is critical for optimizing IT operations. AIOps combines big data and machine learning to automate IT operations processes, according to Gartner. The most common application of AIOps is the automation of big data management. Event correlation and analysis, performance analysis, anomaly detection, causality determination, and IT service management are some of the other use cases. Smart, connected devices with sensors that generate large amounts of operational data in real time are referred to as IoT.