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3 key digital transformation priorities for 2024

CIO Business Intelligence

The analyst reports tell CIOs that generative AI should occupy the top slot on their digital transformation priorities in the coming year. Despite all that, CIOs should add generative AI initiatives to the much longer secondary list of transformation programs. Luckily, many are expanding budgets to do so. “94%

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7 sins of digital transformation

CIO Business Intelligence

As CIOs prepare for the next wave of digital transformation, they must demonstrate shorter-term business impacts from technology investments and achieve larger innovation goals that evolve the organization’s business model.

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A history of tech adaptation for today’s changing business needs

CIO Business Intelligence

Digital transformation is not a new concept for Ipsos,” says global CIO Humair Mohammed. Its digital transformation process can be divided into several stages, according to Mohammed, each with its own objectives and challenges. The initiative follows agile methodologies to offer faster and better results to its clients.

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BRIDGEi2i Recognized as Leader in AIM’s Top Data Science Service Providers in India Report, 2021

bridgei2i

The Top Data Science Providers in India 2021: Penetration and Maturity (PeMa) Quadrant is an annual benchmarking study to classify vendors based on their analytics capability and maturity. More experienced and mature data science vendors are placed ahead of the curve in terms of industries and geographies served.

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Digital transformation’s fundamental change management mistake

CIO Business Intelligence

Over the past decade, CIOs have invested significantly in digital transformation initiatives in an effort to improve customer experiences, build data analytics capabilities, and deliver productivity enhancements with automation.

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Reduce Your Data Culture Debt With People Treble: Data Literacy, Citizen Data Science, and Data Mesh

Dataiku

Our industry has talked about the three pillars of digital transformation for decades: people, process, and technology. However, most organizations implement them in the reverse order.

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5 Reasons No-Code Platforms Are the Future of Data Science and AI

Smart Data Collective

Data science is an evolving profession. A number of new platforms and tools are being regularly rolled out to help data scientists do their jobs more effectively and easily. Savvy data scientists and AI developers are keeping up with trends and learning the new technology that can help them work more efficiently.