Have you ever had to set up a meeting with a client or your co-workers who live in various time zones? Finding a time that works for everyone can be frustrating and time-consuming. You may find a time that works for your team in New York City, but attendees from Singapore are probably sleeping. Workplace inefficiencies such as this can be eliminated if your device has on-device Artificial Intelligence (AI) embedded into its chipset. Recent advancements in AI model optimization unlock a plethora of fine-tuned, contextualized applications that offer unprecedented productivity gains to users.
Introduction: The world of embedded systems is multi-faceted – from hardware and software to services and tools. ABI Research’s Senior Director Andrew Zignani and Senior Analyst Reece Hayden attended the Embedded World Exhibition & Conference in Germany last week. Here they present their key takeaways from the event.
ABI Research will attend the Hannover Messe 2024 exhibition in late April to evaluate the most transformative technologies shaping the industrial markets. This article shares our analysts' predictions for the event. Before we get to those expectations, here is a word from ABI Research Chief Research Officer Stuart Carlaw.
It’s safe to say that Artificial Intelligence (AI) is the technology of the decade. AI is a cornerstone to automating business processes and improving consumer experiences. In this blog post, ABI Research shares some of the most striking artificial intelligence statistics revealed in the company’s recent market findings. These statistics accurately gauge the maturity and growth of various AI solutions and identify the trends that will dictate the future of the technology.
Generative Artificial Intelligence (AI) is one of the booming technology topics of our time. ABI Research has multiple research products and articles covering how generative AI will transform the modern enterprise. The manufacturing sector is one industry that gains tremendous benefits from using generative AI. Whether it’s product design or inventory management, there are many use cases for generative AI in manufacturing. In this article, I’ll identify five examples of how generative AI can be applied to the manufacturing industry.
Artificial Intelligence (AI) is the technology of our time, bound to change our personal and professional lives in some way, shape, or form. As enterprises aim to leverage AI to boost productivity and technology, vendors wish to optimize their product portfolios, so AI market research is more pivotal than ever. ABI Research connects the end users and the tech vendors providing AI solutions with essential insights. Through technology analysis reports, presentations, competitive rankings, and market data forecasts, ABI Research provides a unique voice to the AI industry. These products can be used to forecast demand for various AI hardware and software, identify the most important trends sweeping the industry, evaluate the competitive landscape, and provide best practices when implementing AI solutions. Here are some research topics from our most recent content deliverables covering our AI & Machine Learning Research Service.
Generative Artificial Intelligence (AI) has been one of the most popular technology topics of 2023. The hype for generative AI is justified, promising enterprises huge leaps in productivity if implemented correctly. While most enterprises are still years away from company-wide adoption, some early movers are showing huge progress, with most having at least placed generative AI on their radar with plans to adopt it. ABI Research’s Generative AI Business Outcomes: Identifying Enterprise Commercial Opportunities report provides a full-fledged evaluation of generative AI, including business use cases, challenges to implementation, market trends, and strategic recommendations. Here are five of the biggest trends from our research report that you should know about.
Market research goes hand-in-hand with maximizing profits at a business enterprise. Whether you’re a vendor or an enterprise implementer of a new technology, in-depth, data-backed intelligence can safely guide your organization toward sustained success. Technology research deliverables identify potential roadblocks and lucrative revenue opportunities for organizations, while giving you a reliable partner to consult with when questions about your respective market inevitably arise. Take, for example, the technology market research case studies we recently compiled, showcasing how our forward-looking methodologies help some of our biggest clients with their digitization journeys. In this blog post, let’s review four of these case studies to give you a better idea of what kind of results you can expect from ABI Research as a technology intelligence partner.
In our blog post, How the Edge Enables Groundbreaking AI Applications, we provided a definition for edge Artificial Intelligence (AI). To refresh, ABI Research defines edge AI as “the implementation of AI platforms and solutions on the edge of a network, close to the end user's environment.” In other words, edge AI use cases and applications are processed locally instead of at a remote data center. Edge AI platforms include Internet of Things (IoT) hardware, edge computers, and small, localized data centers.
Generative Artificial Intelligence (AI) and AI more broadly, has launched a new technology hype cycle that, on the surface, appears to have rather unceremoniously ended during the previous metaverse hype cycle. AI, however, is a critical enabling technology of a future metaverse, from networking to data/workflow management and content creation. AI should not be viewed as a “metaverse replacement,” but rather as a critical pillar of that future, regardless of what that future is called; metaverse is simply a convenient term to codify pre-existing trends with a vision of the future.