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Pharma & Healthcare
Jul, 2023
Philips is one of Market Logic's longstanding partners and has been one of the first to pilot our new generative-AI solution, DeepSights™. In this interview, Tom Mostert walks
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Cross Industry
May, 2023
The rise of generative AI brings with it a wave of concern about disruption. and job loss. What does this technology mean for your job as an insights professional?
What is silo mentality in business? Silo mentality in business is the tendency for departments or teams to adopt the mindset that communication and collaboration with other parts
Mar, 2023
In today’s fast-paced business landscape, companies are in constant search of tools to help them stay ahead of the curve. While AI-driven language models like ChatGPT have
Dive into the world of artificial intelligence with generative AI. Uncover why this form of deep learning matters and how you can leverage AI to your business operations!
Feb, 2023
We were joined by Forrester to explore pressing consumer healthcare trends and the role that insights management plays in helping enterprises in these industries stay ahead of the
Jan, 2023
Artificial Intelligence for Consumer Insights (or AICI) is a new field that aims to integrate the power of generative AI into enterprise insights teams, completely reshaping the
If you’re an insights manager in the healthcare and pharmaceutical industry, keep your eye on these three trends in 2023.
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2023 will see a lot of changes in the field of consumer insights: from increased focus on organizational resilience, to more savvy consumers, and more reliance on Artificial
Nov, 2022
How mature is your knowledge management? When was the last time you evaluated your organization’s knowledge management maturity? If you’ve never done it, then you may be
Are you prepared to prevent knowledge loss during times of employee turnover? Managers are increasingly concerned about loss of knowledge due to unprecedented employee turnover.
Oct, 2022
Why does so much enterprise data disappear, what does it cost? Unbelievably, only about one third of enterprise data is ever used after it is created. This leaves up to 75% of
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