CIO

FEBRUARY 17, 2023

As the chief business transformation and technology officer at Twinings Ovaltine (TwO), some might imagine Sandeep Seeripat’s role to be the epitome of what a senior technology executive should be, with a remit beyond IT operations, an authoritative voice in the boardroom and a reporting line straight to the CEO.

Technical Review 261

Technical Review Business Transformation WAN VR 261

CIO

JUNE 8, 2023

s senior vice president and CIO, Anu Khare leads the specialty truck maker’s intelligent enterprise agenda, which includes data science and artificial intelligence practice, digital manufacturing, cybersecurity, and technology shared services to drive technology-enabled business transformation. In his role as Oshkosh Corp.’s

Artificial Inteligence 198

Artificial Inteligence Analytics Strategy Artificial Intelligence 198

CIO

FEBRUARY 3, 2023

More recently, The Royal Mint has evolved its business model in the face of declining cash usage, from its core business of coins and metal manufacturing through to bullion trading, a new consumer business and jewellery line, as well as tentative steps into digital gold and recycling e-waste.

Security 130

Security Banking Recruiting VR 130

Cloudera

JULY 20, 2021

Once companies are able to leverage their data they’re then able to fuel machine learning and analytics models, transforming their business by embedding AI into every aspect of their business. . As you proceed with your own AI business transformation journey, there are 3 things to consider: .

Retail 104

Retail Telecommunications Chemicals Airlines 104

Capgemini

OCTOBER 9, 2020

5G and Edge will be a major lever for business transformation in many, if not all, industries. It’s just a question of shaping CSPs’ investment strategy, how to navigate a new and complex technology ecosystem, and making the right choices and right investments. To put this into context, let’s rewind the clock to the early 2000s.

Data 52

Data IoT Artificial Intelligence Artificial Inteligence 52

O'Reilly Media - Ideas

OCTOBER 11, 2022

Over the past decade, one problem with data science and its successors has been the assumption that all you need is data, and lots of it; analyzing that data will lead you to new products, new processes, new strategies: just follow the data and let it transform your business. Again, does this sound like a business Metaverse?

Trends 128

Trends Research System Compliance 128