We’ve discussed how the term artificial intelligence (AI) covers a wide array of applications; just like many of these functionalities, affective computing is beginning to see some growth in the market. Spanning across computer science, behavioral psychology, and cognitive science, affective computing uses hardware and software to identify human feelings, behaviors, and cognitive states through the detection and analysis of facial, body language, biometric, verbal and/or vocal signals.
Artificial intelligence (AI) adoption is at a tipping point, as more and more organizations develop their AI strategies for implementing the revolutionary technology within their organizations. However, there are still major challenges to AI adoption; in fact, cost of the solution and lack of skilled resources are cited as the top inhibitors of adopting AI.
Data is the fuel for modernizing and transforming business. While there is no shortage of data – IDC expects data to reach 175 Zettabytes by 2025 – insightful, relevant data is in much shorter supply. I experience this daily in the cloud-related inquiries I receive. In addition to generating timely and relevant insights from data, my role is also to make the data actionable for customers. This means providing the data in a more consumable format and context based on a deeper understanding of what the client needs.
For the past few years I’ve been covering the Augmented Reality and Virtual Reality (AR/VR) market and over the years I’ve seen some impressive demos. For VR headsets these usually revolved around some sort of game or other-worldly experience — the kind of stuff that’s always fun and exciting for users.
Cloud, hyperscale and digital service providers already account for 20% of IT infrastructure hardware spending, with 75% of that spending from the 8 largest hyperscalers alone. Add in colocation and managed services hosting providers, plus communications service providers, and by 2023 more than 60% of infrastructure hardware spend will come from the overall service provider segment.
While commercial end-users in other industries shift an increasing proportion of their budget to IT ‘as a service’, service providers will increasingly be the driver for IT vendor strategies and product development. From the outsize impact of hyperscalers, to the shifting focus of infrastructure and hosting providers, here are 3 ways in which these IT buyers are changing the IT market.
Earlier this summer, my friend’s daughter began a new job, her first one right out of college. Amidst all the usual starting-a-new-job hubbub of picking health insurance and setting up her direct deposit, she was also faced with getting her hardware – laptop, tablet, and smartphone – selected and set up. It’s a task many of us are usually faced with, and don’t spend too much time thinking about. However, not long after starting her job, she called me at work with a question:
“Ramon, which wearable should I get?”
The business of IT is changing. Service providers moving away from pure infrastructure services, digital transformation, and the advent of the cloud have all created a major shift in dynamics in the traditional supply chain.
The market is evolving, and many companies are offering cloud services now. So, where will the market go in the next two years, and what role will technology vendors play in the success of the opportunities this trend represents?
For the second year, IDC surveyed more than 2,000 U.S. vehicle owners to learn more about how they prefer to buy, use, and pay for connected, automated, and next-generation vehicle technologies. IDC utilizes these surveys to help reinforce and realign the priorities of IDC’s Next-Generation Automotive Strategies’ research practice, as well as to assist automotive and technology suppliers, buyers, and manufacturers understand technology adoption and areas of focus.
The digital economy is changing how business professionals work, thanks to new emerging technology. Almost all areas of business are undergoing digital transformation, including procurement. Innovative technologies such as cloud, AI/cognitive, machine learning, natural language processing, and big data/analytics are completely altering traditional procurement applications, digitizing procurement and partners.
