Remove 2008 Remove Data-driven Remove Uncertainty
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Living Post Uncertainty: How Changes Today Will Propel Future Generations

Sisense

COVID-19 is the biggest human challenge we’ve encountered in decades — and despite the focus on epidemiology it actually centers on data. In Data Surrounds Us , we shift our focus from what happened to what we can do better. Now more than ever, data will be a barometer of truth. Data will guide us towards a new normal.

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A Combined Broadcom & VMware: Clouds and Sovereignty

CIO Business Intelligence

They want to know what role a combined Broadcom-VMware would play as governments increasingly recognize the power of data – economically, politically, and geo-politically – to drive local, national, and even multi-national economic development. Those rules are proliferating quickly.

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10 Ways Organizations Can Prepare for Changes Brought on by the IoT

Smart Data Collective

How can your company benefit by adapting to an IoT-driven model? Here are some benefits of adapting to a new business model in an era driven by the IoT. The financial disaster of 2008 made the business industry accept that change is imminent. It brings uncertainty and forces you out of your little bubble.

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The New Normal for FP&A: Scenario Planning

Jedox

We are currently operating in an environment with a very high (if not the highest ever) level of VUCA, (Volatility, Uncertainty, Complexity, Ambiguity). The way you mitigate uncertainty is with planning, planning, and more planning. The 2008 economic crisis was a watershed event for FP&A teams and scenario planning.

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Broadcom’s Approach Towards Delivering Customer Value

CIO Business Intelligence

At Broadcom, we make business decisions driven by what will bring customers the most value. From September 2005 to January 2008, he served as chairman of the board of Integrated Device Technology. So, how do we make that happen? We listen to our customers. We co-create with them, and we invest in continuously addressing their needs.

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Banking on mainframe-led digital transformation for financial services

IBM Big Data Hub

Banks have the most to gain if they succeed (and the most to lose if they fail) at bringing their mainframe application and data estates up to modern standards of cloud-like flexibility, agility and innovation to meet customer demand. Couldn’t execs have run better analyses to spot risks within the data?

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Data Science, Past & Future

Domino Data Lab

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.