IBM and AI Analytics: Future developments in the technology industry

IBM and AI Analytics: Future developments in the technology industry It’s no secret that advances in AI technology has become the preoccupation of most, if not all, of the technology industry over the past decade and IBM is no exception to this trend. AI and advanced analytics have almost becoming the beating heart of the organization and its push to develop systems that will rival its equally ambitious competitors. These technological advances will be showcased at the Think 2019 conference in San Francisco and will outline IBM’s vision going forward. The catalyst for this drive into analytics strategy has been attributed to the unveiling of the Watson cognitive computing system, essentially a system that virtually replicates the human brain in its ability to ‘reason’ and understand the nuances of language. The Watson system is able to answer questions ranging from the very simple to the complex, and moreover actually becomes smarter with each interaction. The success of this system inspired a deep interest in AI development within IBM which features heavily in future plans and initiatives put forward by the company. AI development is seen as a possibly revolutionary move that will virtually change the face of the world and technology as we know it. Given the ever-evolving nature of the technology involved, it is of paramount importance that companies such as IBM invest money and time into the growth of AI. Analytics are now more important than ever to the successful operation of business all over the world, most notably in decision-making processes. As a direct result of this focus, new technologies, as well as obstacles, are constantly emerging meaning analytic technology is an ever-evolving industry. It is the job of data management teams to keep up with these changes and ensure that data architecture and governance processes are up to date. Keeping abreast of developments within IBM at Think 2019 is just the tip of the iceberg. It is also pivotal that analytics and data management teams are aware of wider technological trends and also their deployment. With AI development rapidly increasing, almost daily it seems, so too are the number of emerging technologies and processes, all of which will have a profound impact on the course analytics and data management in 2019, and in turn on the future of AI itself.

Published: March 25th, 2019