As you plan your agenda, artificial intelligence (AI) is undoubtedly a hot topic on your list. This year we have a lot of great technical content on AI, machine learning (ML), and deep learning (DL)--with over 200 breakout sessions, hands-on workshops, deep-dive chalk talks, and more. You'll hear success stories about machine learning on AWS firsthand from customers and partners such as Sony, Moody's, NFL, Intuit, 21st Century Fox, Toyota, and more. This year's re:Invent also includes the AI Summit, where thought leaders in the academic community will share their perspectives on the future of AI. Here are a few highlights of this year's lineup from the re:Invent session catalog to help you plan your event agenda.
Businesses have entered the most rapid period of technological change in history, and artificial intelligence (AI) is on the cusp of revolutionizing the entire workforce, Ginni Rometty, chairman, president, and CEO of IBM, said in a keynote address at the 2018 Gartner Symposium/IT Expo in Orlando on Tuesday. "The pace is unabated," Rometty said. "You have to change the way you work, because this isn't going to stop." AI has become one of the great, meaningless buzzwords of our time. In this video, the Chief Data Scientist of Dun and Bradstreet explains AI in clear business terms.
Between AI-powered chatbots and gadget-based voice assistants, cognitive computing capabilities have captured the public imagination. But consumer products are just the tip of the iceberg. Under the surface, cognitive computing adoption in the business world is growing rapidly. In fact, IDC predicts that global spending on cognitive systems will grow to more than $31 billion by 2019. And within the next two years alone, half of all consumers are expected to interact with cognitive technology on a regular basis, even if they don't realize it.
Typically, when AI is brought up around farmers, the conversation turns to how many brood cows they covered this year for breeding. In this article, AI refers to artificial intelligence. The ability to capture data on the farm has never been more readily available than it is today. Many questions about how to use and implement data are daunting and prevent producers from moving beyond the comfort of basic yield monitors and autosteer. To make the leap into data management less daunting, original equipment manufacturers (OEMs) and farm management information system groups have shifted their attention toward taking some of the burden out of making data-based decisions by using machine learning algorithms.
Samsung has acquired a Spanish network analysis firm to enhance its 5G capabilities, the company has announced. The South Korean tech giant acquired Zhilabs for an undisclosed sum with full ownership, saying it will use the latter's artificial intelligence (AI)-based network and service analytics to further enhance its 5G capabilities. Zhilabs was formed in 2008 and provides services such as root cause analysis and automated troubleshooting and optimisation to more than 50 telecommunications carriers around the world. The two will collaborate to create new technology that can be applied in the transformation from 4G to 5G, the conglomerate added. In July, Samsung unveiled its 3.5GHz and 28GHz spectrum 5G equipment and promised a timely rollout to local and global telcos.
Penguin Computing, a subsidiary of SMART Global Holdings, Inc. and leading provider of high-performance computing (HPC), artificial intelligence (AI), enterprise data center, and cloud solutions, today announced the formation of the Penguin Computing Artificial Intelligence Practice, a full service consultancy dedicated to working with organizations to achieve their AI goals. Penguin Computing is launching this practice in response to increased customer demand for guidance and support on building and deploying AI and machine learning (ML) projects. With technology advancements making AI a more practical option to extract value from massive data sets, research from Goldman Sachs indicates that AI will become a $109 billion market by 2025 as an increasing number of senior technology officers move their organizations to this new computing paradigm. The new AI Practice will be led by Penguin Computing Chief Technology Officer Philip Pokorny and will operate as a full-service consultancy, delivering system design expertise, building custom technology solutions, and providing professional services (including management and hosting of AI clusters) and advanced level support. Penguin Computing has already designed, built, managed, and supported many large AI systems, resulting in Penguin Computing being named Americas HPC Partner of the Year for 2017 by NVIDIA, an AI leader.
When I ask people what they think the Internet of Things (IoT) is all about, the vast majority will say "smart homes," probably based on personal experience. If I say that it is also about industries making using of data from sensors, then most people's immediate reaction is to think of manufacturing. Sensors have been used for a long time in manufacturing, and the concept of using data generated at the edge to monitor and run automated processes is well understood. This perception, however, is underselling the IoT. In practice, it can be applied anywhere.
In order to achieve the edge computing that people talk about in a host of applications including 5G networks and the Internet of Things (IoT), you need to pack a lot of processing power into comparatively small devices. The way forward for that idea will be to leverage artificial intelligence (AI) computing techniques--for so-called AI at the edge. While some are concerned about how technologists will tackle AI for applications beyond traditional computing--and some are wringing their hands over which country will have the upper hand in this new frontier--the technology is still pretty early in its development cycle. But it appears that still-too-early-yet status is about to change a bit. Researchers at the Université de Sherbrooke in Québec, Canada, have managed to equip a micro-electromechanical system (MEMS) device with a form of artificial intelligence, marking the first time that any type of AI has been included in a MEMs device.
Tech analyst firm Gartner has compiled a list of the top ten strategic technology trends that organisations need to explore in 2019. According to Garner, these technologies have substantial disruptive potential and are either on the edge of making a big impact, or could reach a tipping point in the next five years. Some of these trends will be combined: "Artificial intelligence (AI) in the form of automated things and augmented intelligence is being used together with the Internet of Things (IoT), edge computing and digital twins to deliver highly integrated smart spaces," explained Garner vice-president David Cearley. The analyst firm's top 10 strategic technology trends for 2019 include: This includes robots, drones and autonomous vehicles that use AI to automate functions previously performed by humans. The next shift is likely to be from standalone intelligent things to swarms of collaborative devices working either independently or with human input, Gartner predicts.
"Once a new technology rolls over you, if you're not part of the steamroller, you're part of the road." Some technologies fizz out over a period of time while some stay on the sidelines and then gain traction after startups, SMEs, and other MNCs fund it or integrate it in their operations. Regardless of changing trends, technology is inevitable. As time passes by, technology gets more and more advanced and pervades every facet of our lives from the way we live to the way we work. Driverless electric cars, AR and VR technology, and robot surgeons are some talk of the town technologies that have created a revolution that will grow for as long as humans continue to advance in their capabilities.