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.
While we’ve discussed the disruptive power that artificial intelligence (AI) applications bring to enterprise organizations, the truth is that AI adoption is still low for these businesses. However, adoption level is at a tipping point; investment in AI has tripled, and recent technical innovations promise to make AI not just an underlying technology capability, but a fundamental business tool. Here are just three of the technical innovations that enterprises can use to better leverage the disruptive power of AI:
By now you’ve probably heard about this next generation of cellular connectivity thing known as 5G. Nationwide advertising campaigns tout the ability to play multiplayer games on the move and logos are already changing on our phones. You might even think you have it via the 5G (GHz) channel on your WiFi router. Mobile operators began announcing launches of one form of 5G service or another beginning late last year and are continuing through 2019. Leading academics and engineers have already moved on and started talking about 6G and 7G. The 5G era is signed, sealed and delivered, right?
The Internet of Things (IoT) market is a tricky thing; customers aren’t necessarily looking to buy “IoT technology” but are instead searching for solutions that can help them achieve a specific business goal, such as supply chain efficiency or cost savings. That’s why IoT vendors need to not only have a good handle on the other players in their space, but on the ways they and their competition are framing their individual IoT solutions. It’s not enough to talk about the IoT market; vendors must frame their solution in a business value context in order to connect with their customer base.
As artificial intelligence’s (AI’s) potential grows, so does the need for a cohesive AI strategy to leverage AI to prioritize and execute the enterprise’s goals. Aside from articulating business goals and mapping out the ways organizations can use AI to achieve those goals, there is another extremely important element that every AI strategy needs: a code of ethics.
For companies that are committed to creating Digital Transformation (DX) within their organizations, artificial intelligence (AI) is a critical component. The data that is created in DX initiatives has limited value if an organization can’t extract valuable, accurate, and timely insights from it. That’s why enterprise organizations are using AI technologies to pull actionable value from its data; in fact, by the end of 2019, 40% of all DX initiatives will be related to AI.
Four months ago, IDC launched its IT/OT Convergence Strategies program, and since then both end users and technology vendor engagement around the topic has been outstanding. These engagements have happened across the board: with IT leadership, operational technology (OT) leadership, and relevant business leaders all in some manner participating in the IT/OT convergence enablement ecosystem.
IDC has seen a rising buyer interest in cloud app-centric platforms and the agility that the cloud affords. Recently at the IDC Directions 2019 conference, IDC presented on Multiplied Innovation: Scaling a Technology Revolution outlining new technologies that innovate at scale which underpin the growth of cloud applications into the future. This trend is reflected in many traditional Enterprise Content Management applications found in the IDC Market Glance: Content-Centric Workflow Ecosystem transitioning to cloud content apps to meet this growing demand.
