The public availability of generative AI models, particularly large language models (LLMs), has led many employees to experiment with new use cases, but it also put some organizational data at risk in the process. The authors explain how the burgeoning open-source AI movement is providing alternatives for companies that want to pursue applications of LLMs but maintain control of their data assets. They also suggest resources for managers developing guardrails for safe and responsible AI development.
Data, AI, & Machine Learning
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Governance for Smarter KPIs
Effective governance enables KPIs to evolve, remain aligned with strategic goals, and gain workers’ and managers’ trust.
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How ChatGPT Can and Can't Help Managers Design Better Job Roles
Research finds that managers who want to create better job roles can use an effective new assistant: ChatGPT.
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Sound Business: The Promise of Audio Machine Learning Technologies
Emerging machine learning technology could enhance sound creation and the detection and analysis of acoustic signals.
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How to Have Better Strategy Conversations About Monetizing Data
A data monetization matrix can help leaders assess opportunities and approaches for converting data into revenue.
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Harnessing Grassroots Automation
With a modest amount of training, nontechnical employees can automate complex processes.
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Data Is Everybody's Business: The Fundamentals of Data Monetization
A clear, engaging, evidence-based guide to monetizing data, for everyone from employee to board member.
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Strategic Alignment With AI and Smart KPIs
When organizations create forward-looking smart KPIs with AI, they see increased strategic alignment.
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Procurement in the Age of Automation
Research points to six practices leaders can use to overcome stakeholder resistance to automated negotiation technology.
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Using Federated Machine Learning to Overcome the AI Scale Disadvantage
FedML technology could help smaller companies train their machine learning models on larger, decentralized data sets.