#GenAI Can Help Companies Do More with Customer Feedback, via Harvard Business Review, by Tom Davenport, Jim Sterne, and Michael Thompson. https://lnkd.in/eQP2ZKNf
Return on AI Institute
Information Services
Chicago, IL 101 followers
As AI becomes pervasive, its impact - on the bottom line and society - must be the focus of organizations that use it.
About us
The RoAI Institute was founded by Tom Davenport and a group of applied AI veterans with a single aim: help institutions maximize value from their AI projects in an ethical and timely manner. We inform original research with experience, translate the research for leaders through white papers and case studies, and then apply lessons learned through advisory services.
- Website
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http://www.roaiinstitute.com
External link for Return on AI Institute
- Industry
- Information Services
- Company size
- 2-10 employees
- Headquarters
- Chicago, IL
- Type
- Partnership
- Founded
- 2019
Locations
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Chicago, IL, US
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New York, New York, US
Employees at Return on AI Institute
Updates
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Is Your Company's Data Ready for Generative AI? In most organizations, the answer is no. New article via Harvard Business Review by Tom Davenport & Priyanka Tiwari of AWS. #generativeai The job to make a large organization’s important data ready for AI could easily take several years. The time to start is now. Read more here:
Is Your Company’s Data Ready for Generative AI?
hbr.org
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An excellent piece by Joe McKendrick on the current status of data scientists. Nice of him not to abuse me and DJ Patil for labeling it "the sexiest job of the 21st century" back in 2012. He includes some good data on the poor deployment percentages of data science models. To me the piece is an argument for data product management, or "BizML," as Eric Siegel refers to it in his new book, "The AI Playbook." https://lnkd.in/e8HF_kVt
Data scientists: Still the sexiest job - if anyone would just listen to them
zdnet.com
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Return on AI Institute reposted this
Need to get your executive team AI-educated and aligned on how to capture business value from AI? Based on our advisory work with C-suite execs on AI Strategy, also shared in our recent HBR articles, Vivek Sharma and I have now partnered with the Return on AI Institute, led by Laks Srinivasan, to offer a structured, 1/2- to full day AI-workshop, in a live setting, complete with AI basics, simulated games (such as running a bar, as seen below), scenario exercises for executive teams, and frameworks for prioritizing business opportunities. The goal is to help C-Suite execs build AI intuition as a team, with a focus-on pursuing business value. We've felt this was a missing link amidst all of the AI hype, so we've crafted this deep-dive experience to help leaders get more practical traction on their AI agenda. If this strikes a chord, happy to discuss and share more.
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Generative #AI Trends for 2024 via MIT Sloan Management Review podcast: Me, Myself and AI. Listen to it here: https://lnkd.in/eUnWGhRq
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Return on AI Institute reposted this
AI Leader | Data, Digital Transformation, Innovation & Future of Work | CDO | Top 50 Thought Leader in AI | Global AI Ambassador | Top Voice | Award-winning Keynote Speaker
As companies seek to build #datadriven organizations that leverage the power of #artificialintelligence (#AI), executives must implement #data strategies that fuel real #business value. These data strategies enable companies to use insights or technologies that drive impactful business outcomes, including increased #revenue or greater #innovation across products, services, and experiences. However, many companies are having trouble implementing a #datastrategy that generates business value. The right #people, #processes, and #technology are at the heart of any data-driven organization. Achieving this core requires a multifaceted strategy that focuses on establishing a #governance framework that ensures data is accurate and reliable, building a data-literate #workforce, investing in the right tools and technology, making data easy to access, and measuring the impact of data-driven initiatives to ensure that they generate value. Great piece of advice for #CDOs by Tom Davenport, Joe Mullich, Douglas Laney, Krishna Cheriath, Randy Bean. #chiefdataofficer #strategy
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Return on AI Institute reposted this
Senior Advisor | Author | Speaker | Founder | CEO | Board Member | Innovation Fellow | Fail Fast
It’s time for Fortune 1000 companies to rethink their investments in data, #analytics, and #AI. Of course, companies should be investing in these critical business capabilities and differentiators. What they need to take a hard look at is how they’re investing, and whether these #investments are leading to the kinds of gains and the levels of business value that companies are aspiring to achieve. Read if progress on data, analytics, and AI has stalled at your company: https://lnkd.in/ekA5FTvF
Has Progress on Data, Analytics, and AI Stalled at Your Company?
hbr.org
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As a Senior Advisor to Deloitte's Chief Data and Analytics Officer Program, I'm glad to work with them on their inaugural CDAO Survey. This one explores the CDAO role, challenges, expectations, and more in this rapidly growing C-suite position. If you're an exec in #DataAnalytics, #AI, or tech, take 10-15 minutes to share your perspective. https://lnkd.in/ey-NrC7k
Chief Data & Analytics Officer Study
www2.deloitte.com
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The Rise of Connector Roles in Data Science: Connectors can bridge the organizational gaps that often thwart success with data science projects. Here’s how to manage this new kind of data professional, via MIT Sloan Management Review by Tom Redman & Tom Davenport. #AI #datascience #data Roger Hoerl Prof. Dr. Diego Kuonen. https://lnkd.in/dGc9eDa3
The Rise of Connector Roles in Data Science
sloanreview.mit.edu
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Use #GenAI to Uncover New Insights into Your Competitors via Harvard Business Review, by Tom Davenport, José Parra Moyano, Karl Schmedders & Dr. Stephan Schulte
Use GenAI to Uncover New Insights into Your Competitors
hbr.org