Working in a competitive industry demands that you become a data-driven organization. As a technology solution provider, effectively leveraging data can unlock significant advantages, such as driving market expansion and fostering innovation. Unfortunately, all too many companies lack an analytical approach to decision-making.

Generative Artificial Intelligence (Gen AI) is no longer a futuristic concept—it's here, and enterprises are quickly realizing its transformative potential. But implementing such a powerful tool isn't without its complexities. According to ABI Research, a leading technology research firm, the Gen AI software market is projected to grow from US$10.45 billion in 2023 to over US$176 billion by 2030, driven by its applications in diverse sectors.

Data centers are the backbone of modern business and consumer applications, hosting vast amounts of information in the cloud. Everything from Artificial Intelligence (AI) use cases to online gaming platforms rely on data centers for proper data storage and management. As the world becomes more digitally native, data centers will generate higher Greenhouse Gas (GHG) emissions and deplete more of Earth’s natural resources. This makes the need for green data centers all the more dire as governments race to meet global sustainability goals.

NVIDIA's market capitalization continues its meteoric rise, largely driven by ever-growing data center revenue that surprises financial analysts time and again. NVIDIA's early bets on Artificial Intelligence (AI), followed by generative AI (via its cooperation with OpenAI), were winners, and this lends its charismatic CEO the confidence and, in many people's eyes, the legitimacy to define the future of computing. During his keynote at COMPUTEX, we heard again that the future will be “generative,” reducing the need to retrieve data stored in data warehouses around the world.

With more than 80,000 visitors, this year’s COMPUTEX was, by far, the most attended in the history of the show. Traditionally, COMPUTEX is where the computer and information technology supply chain, notably Asian component and module suppliers, Original Device Manufacturers (ODMs), and Original Equipment Manufacturers (OEMs), exhibit their latest innovations to attract their customers to the latest innovation. While in the past, the show focused mainly on Personal Computers (PCs), laptops, the Internet of Things (IoT), and other consumer electronics technologies, Artificial Intelligence (AI) dominated the show this year, targeting the entire stack from cloud applications to the far edge of the infrastructure and from consumer applications to the enterprise.

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.