While the ambition was sound, the technology and market structure of 20 years ago simply weren’t ready. Today, that same ...

Buy-side firms are consistently faced with burgeoning volumes of data, necessitating adept management of expansive data extractions, a task fraught with intricacies and considerable costs. Arthur Orts ...

As organizations accelerate AI adoption and expand analytics capabilities, many still struggle to execute their data strategies due to unclear operating models, siloed decision-making, and ...

As businesses continue to make use of public cloud services, they need to develop a model for how the cloud fits into their processes and workflows. I am fortunate to lead a technology division for an ...

For decades, banks have wrestled with fragmented regulatory data by investing billions in lakes, warehouses and point solutions that promised control but delivered more silos. What financial ...

Many higher education institutions are migrating their data centers to a cloud operating model. It's a movement that has its roots over a decade ago. And while that may not be news, it's a growing ...

It’s been said that AI is only as good as the data fueling it. And that’s true—to an extent. Having good data is important, but it is also useless if it’s inaccessible. This explains why building the ...

Leaders, revising their five-year plans every quarter, are constantly seeking ways to reinvent their companies and stay ahead of the pack, given competitors of varying capabilities and scale and ...

The trust gap widens as artificial intelligence (AI) goes mainstream, according to research from Salesforce. Brands are turning to generative AI to boost efficiency while improving customer engagement ...

If you’ve been around long enough to see a few CRM projects come and go, then you have probably noticed a pattern. Technology changes, the logos change, and the dashboards look shinier every few years ...