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October 16, 2023

How to use foundation models and trusted governance to manage AI workflow risk

5 min read - Artificial intelligence (AI) adoption is still in its early stages. As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. Using AI for certain business tasks or without guardrails in place may also not align with an organization’s core values. This is where AI governance comes into play: addressing these potential and inevitable problems of adoption. AI governance refers to the practice…

October 10, 2023

IBM watsonx Assistant: Driving generative AI innovation with Conversational Search

5 min read - Generative AI has taken the business world by storm. Organizations around the world are trying to understand the best way to harness these exciting new developments in AI while balancing the inherent risks of using these models in an enterprise context at scale. Whether there are concerns over hallucination, traceability, training data, IP rights, skills or costs, enterprises must grapple with a wide variety of risks in putting these models into production. However, the promise of transforming customer and employee…

June 8, 2023

How Krista Software helped Zimperium speed development and reduce costs with IBM Watson

3 min read - Successful businesses are embracing the power of AI to help streamline operations, generate insights, boost productivity and drive more value for clients. However, for many enterprises, the barrier to entry for integrating trustworthy, scalable and transparent AI remains high. In fact, 80% of enterprise AI projects never make it out of the lab.   So how do businesses that want to incorporate AI move forward when there is such a high level of difficulty? Many have turned to IBM’s portfolio of…

June 4, 2021

How do you drive exponential growth in the healthcare industry?

3 min read - The healthcare industry is adapting to changes resulting from the coronavirus pandemic, but many complex challenges prevail. How do we anticipate and prevent hospitalization of high-risk patients? How can we reduce the length of stay without compromising quality of care? How do we improve patient experience? How do we obtain the insights needed to drive growth, reduce expenses, automate low-value repetitive tasks, and expand our strategic vision?   Healthcare organizations are searching for an antidote—the answers to these questions.  Is artificial…

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