IDC and IBM lists best practices for scaling AI as investments set to double

Top use cases center on hybrid cloud and trustworthy AI

By | 2 minute read | July 15, 2021

The COVID-19 pandemic has revealed both our collective fragility and resilience – and for many organizations, it was also an impetus to charge ahead with their AI plans.

According to IDC, worldwide spending on AI technology is expected to more than double over the next four years  [1]. As AI secures top billing on the world’s technology stage, CIOs and CDOs leading the charge are finally, finally, getting their chance to connect the right data to the right people at the right time, infusing AI throughout the business. But as organizations look to become more data-driven and predictive, they often tread into unknown territory. AI can be likened to a tree of knowledge that requires extremely careful tending and cultivating in its ardent pursuit.

 

Experts pass the baton

We believe those well-versed in bringing AI into our collective experience – from researchers and technologists to first movers – deserve our attention. That’s why we recently paired IDC’s top analysts together with some of IBM’s most respected data and AI leaders to discuss AI’s impact, unveil forces shaping AI and swap notes on where it’s netting the best results.

These interactions were steeped in a thesis that enterprises are predicting and shaping future outcomes and automating at scale, with hybrid cloud and trustworthy AI playing a dominant force.

Ritu Jyoti, Program Vice President of AI Research at IDC makes a direct correlation between superior business outcomes and AI investment, noting both the importance of both hybrid cloud and trustworthy AI. Her recent research cites that companies that invest in AI experiences see 1.5x higher NPS scores than those who don’t — and see an approximate 20% improvement in both customer experience and employee efficiency. [2]

Watch these insightful 10-minute conversations with IDC and IBM on how to prepare to seize your AI advantage.

 

Reduce reputational and regulatory risk

How do organizations bridge compliance and innovation – and how does a well-governed data environment supported by automation and AI help minimize risks?

Join this discussion between IDC analyst Steven D’Alfonso, Research Director, Compliance, Fraud and Risk Analytics Strategies and Inderpal Bhandari, IBM’s Global Chief Data Officer.

 

Unlock data 

Today, organizations are consumed with preparing data for productive uses, creating a bottleneck for business agility, competitiveness, and profitability. How can they build an information architecture designed for AI that eliminates data silos; automates and governs the data and AI lifecycle — and runs anywhere with agility?

Get insights from Stewart Bond Research Director of IDC’s Data Integration and Intelligence Software Services and Susara van den Heever, IBM Director of Expert Labs and Sales for Europe, Middle East and Africa.

 

Scale AI to accelerate digital transformation

What’s the role of AI in the broader spectrum of digital re-invention and transformation?

Shawn Fitzgerald, Research Director for IDC’s Worldwide Digital Transformation Strategies practice and IBM Seth Dobrin, Ph.D., IBM Global Chief AI Officer consider how AI can shift to a strategic capability throughout the organization to better serve constituents.

 

Start here to accelerate your AI journey with a prescriptive approach.

Learn about an open, extensible data and AI platform that runs on any cloud, bringing AI to your data. Visit: https://www.ibm.com/products/cloud-pak-for-data

[1] Global spending on artificial intelligence (AI) is forecast to double over the next four years, growing from $50.1 billion in 2020 to more than $110 billion in 2024. Source: International Data Corporation (IDC) Worldwide Artificial Intelligence Spending Guide.

[2] Source: International Data Corporation (IDC) AI Strategies View 2020: Executive Summary (Doc #US46261720), Ritu Jyoti, June 10, 2020