In the fast-changing business of data, vendors are pushed every year to change as well, and Teradata had quite a few major announcements at its big annual show, Teradata Partners. I’ve attended the conference at least a dozen times, and just by reflecting on its changing focus, I can see the major shifts in our landscape.

“On the Edge of Next” was the conference theme this year, and according to Teradata, what comes next is progression in platform products in an attempt to simplify a complex future and embrace artificial intelligence and the cloud.

With the drive to bring more data under management and the continued chaotic nature of that pursuit, many organizations are operating below their potential. There’s too much redundancy, too many different versions of the truth, and a mismatch of workloads and platforms. Some are overutilizing a legacy data warehouse that has not undergone maturity development to keep it relevant. Others are leaping into new technology with technology-first approaches. Either way, one market trend demonstrated by Teradata was simplicity.

For example, the company finally has united Aster Data functions into the core database, which is now called Teradata Analytics Platform, simplifying access to its over 180 prebuilt data science functions by not requiring a separate platform and data movement. This is a win for core platform customers and organizations for whom functions such as graph, sentiment analysis, machine learning, time series analysis, and data preparation were out of reach. Tensor Flow and other open source analytics engines such as Spark, Gluon, and Theano algorithms (including those for artificial intelligence (AI) and deep learning) are on the platform road map.

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McKnight Consulting Group