In 2019, businesses aren’t the only ones utilizing big data to boost performance markers: NFL franchises are looking far beyond the numbers on the backs of jerseys into the data that reflects team strategies, trends, talent acquisition, and play calling tendencies. It’s no longer enough to simply track trades, follow injury reports, and draft observational scouting reports on players.
The field of artificial intelligence (AI) experienced tremendous scientific advances in the last few years, from vast improvements in processing power and computational efficiency to new insights into object identification, language, and deep learning. IBM — a leader in AI research since its inception in the 1950s — helped inform many of these advances. And 2019 in particular was a watershed moment for IBM Research AI.
With the emergence of technologies such as big data, artificial intelligence, cloud, mobile, gearing up yourself for major digital transformation seems to be no longer an option; it seems to be more like a compulsion.
AI will transform BI and the way people make decisions and act. Rather than start with a hypothesis, data analysts will begin with an AI-driven insight. Instead of querying data to prove or disprove their hypothesis, users will query data to expand or validate a machine-generated insight or recommendation—or they might act on the AI-based insight at face value.
Leading Toy Maker LEGO Systems Among First Brands to Activate New Ad Platform IBM's Watson system is fueling the new AI-powered interactive advertising from Lego Systems Inc. Lego Systems Inc. is turning to technology from IBM to help shoppers put the pieces together for their holiday buying needs this year.