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2023 Q3
AI Here & Now
Enterprise leaders have expanded their focus on AI technology, and more than 50% of executives plan to increase their investments in AI initiatives. However, the question remains: What steps should companies take in the next 12 months to stay ahead of the competition — while protecting against pitfalls known and unknown?
Download this edition of GBQ to discover:
Big questions about how to invest in GenAI.
What GenAI means for your talent strategy.
4 key decisions to make when creating a generative AI policy.
Table of contents
Balance the Environmental Perils and Promises of Generative AI
The rapid adoption of ChatGPT and similar generative AI tools has elevated the negative environmental impacts from an insider topic to an immediate concern. However, GenAI is not entirely bad news for sustainability.
4 Decisions to Make When Creating a Generative AI Policy
Corporate leaders continue to grapple with the use of GenAI applications in workplace. General counsels and C-suite leaders need close oversight and regulation as they will lead the implementation or use of new technologies.
Prepare for AI Regulation by Addressing 4 Critical Areas
The number of enterprises deploying AI was on the rise, even before large language models (LLMs). However, the public launch of ChatGPT and other LLM applications catalyzed both AI investment and global regulatory efforts.
AI Systems ‘Need a Moral Compass’
In a video interview, Dragos Tudorache discussed what businesses should home in on to prepare for AI regulation, lessons from the GDPR, and his thoughts about warnings from tech leaders that AI could lead to human extinction.
Generative AI Will Affect Information Security (and CISOs)
The cyber security impacts of a flood of experiments with ChatGPT and large language models will require CISOs to move quickly — adapting to rapid change while helping business units safely build and consume new technology.
How Generative AI Can Help Meet Customer Experience Expectations
Thirty-eight percent of leaders see improving customer experience and retention as the primary purpose of initiatives to deploy applications trained on large language models, while 26% highlight revenue growth.
Learn to Serve Your AI-Powered Customers Before They ‘Walk Away’
The popular obsession with AI’s effect on employment deflects attention from a greater business challenge - The replacement of human customers by machine customers. This megatrend will disrupt markets, often by stealth.
What Generative AI Means for Your Talent Strategy
The accelerated investment in generative AI has changed the landscape of job environment. Executive leaders should shape their talent strategies using a new framework for understanding generative AI’s impact on the workforce.
Can AI Overcome Flaws in Human Decision Making?
When presented with the same facts, people will disagree and even draw different conclusions themselves from one day to the next. This variability in decision-making can create costly problems for organizations.
ABB Electrification Lights Up ML Models for Financial Planning
Machine learning can make financial planning more efficient and accurate, yet when FP&A leaders replace traditional forecasting with this technology, their underdeveloped models can lead to untested algorithms that frustrate progress.
Letter from the editor
Enterprise leaders cannot ignore generative AI because their rivals won’t. As the hype swirls — will it save untold hours of work? will it end life as we know it? — only one thing is clear: It won’t go away.
Nearly half of more than 2,500 executives we polled said they have been planning to spend more on AI of all kinds since ChatGPT rolled out in late 2022. And separately, dozens of executives have told us in conversations that they want to move faster than they did on past AI initiatives and get something into production within a year.
Their biggest question: What steps must we take over the next 12 months so we don’t have to play catchup for years to come — while protecting against pitfalls known and unknown?
This issue of Gartner Business Quarterly will help you act now. It’s packed with use cases along with guidance for considering investments, enticing customers, and rethinking your talent strategy. Just as importantly, you’ll find analysis of very real dangers ahead, some that have hit the headlines and some that have not.
Our article on balancing the environmental impact of GenAI encapsulates our practical perspective. Dream big: use these applications to suggest sustainable materials, markets and design. Minimize the negative: Consider so-called composite AI, which uses knowledge graphs and causal networks for optimal efficiency — tamping down the models’ voracious appetite for energy. And buy clean power where you can.
Company tactics come from ABB and HP Inc., while important context emerges in our Q&A interviews with EU lawmaker Dragos Tudorache and decision-making experts Daniel Kahneman and Olivier Sibony.
GBQ helps you and your team align with others and reach peak effectiveness, so your enterprise can achieve its goals, be bold and principled, and bring employees, investors and the public along for the ride.
Our standing departments keep you up to speed — Cutting Edge is a look at provocative new data; Briefs offer short takes about smarter spending and planning, talent and culture, growth and innovation, and data and technology.
We welcome your feedback. Please contact me at judy.pasternak@gartner.com
— Judy Pasternak
About Gartner Business Quarterly
Gartner Business Quarterly provides business executives with insights from best practices research and the real-world experience of practitioners. The journal’s insights especially equip executives to tackle challenges that cut across the C-suite and affect multiple executive teams. Writers, contributors and data analysts are members of Gartner Research & Advisory, whose teams are led by Senior VP Val Sribar. The Gartner Business Quarterly publication is led by Editor-in-Chief Judy Pasternak, with executive sponsorship by Group VP Scott Christofferson.