Remove 2020 Remove Business Objectives Remove IoT Remove Modeling
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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

The year 2020 was remarkably different in many ways from previous years. I provide below my perspective on what was interesting, innovative, and influential in my watch list of the Top 10 data innovation trends during 2020. the monitoring of very important operational ML characteristics: data drift, concept drift, and model security).

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5 recommendations to get your data strategy right

IBM Big Data Hub

There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The business areas need more value, faster — it’s a fact that the multi-everything landscape has triggered a more demanding world.

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What is digital transformation? A necessary disruption

CIO Business Intelligence

Digital transformation became a key strategic initiative in the mid-2010s, as mobile communications, cloud, data analytics, and other advanced information technologies took off, enabling businesses and consumers to easily engage via digital channels. Next, “Horizon 2 is about innovating business models.

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The keys to enabling hybrid work

CIO Business Intelligence

It will become a central hub where workers can engage in rich collaboration experiences, build rapport with their colleagues, connect with the workplace culture, and enhance their ability to help their employer achieve its business objectives. New Zealand, Hong Kong and Japan have also begun consultations.

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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy. What is data modeling?