Unleashing the Potential of ChatGPT in Data and Analytics

Data and analytics have undergone a profound transformation in recent years. The massive growth of cloud computing, big data and the proliferation of cutting-edge analytics tools have unlocked previously unattainable insights into complex business processes. However, as the data landscape continues to evolve, staying ahead of the curve has become a challenge for even the most seasoned data professionals. Enter ChatGPT and other advanced language model technologies - poised to revolutionize the way data and analytics are performed by providing a new level of automation, accuracy, and efficiency. Get ready to be blown away as you discover how ChatGPT is set to transform the world of data and analytics.

Artificial IntelligenceMike DeGeusFebruary 14, 2023Data and Analytics, ChatGPTComment

Kai Ming’s PMsquare Children’s Center Opens Its Doors

Kai Ming, a non-profit agency providing comprehensive early care and education services for underprivileged children, and PMsquare, a data analytics technology and consulting firm, are excited to announce that the PMsquare Children’s Center has officially opened its doors on May 13th in Mission Bay, San Francisco.

AI Ethics & Explainability for IBM Analytics Practitioners

With the inevitable, ever-tighter AI integration and infusion with IBM’s products, analytics practitioners need to understand the AI pillars and explainability principles that IBM espouses. These principles should be understood by CA and PA developers, administrators, and product owners, as they will inform the future direction of the AI components of each core product. Most importantly, it will be necessary for doers in our space to use the explainability toolkit in order to explain why models (and integrated, downstream components) predict/project/suggest/decide what they do to our business partners.

Artificial Intelligence, Cognos Analytics, Planning AnalyticsCraig ColangeloJanuary 10, 2022Craig Colangelo, AIComment

5 Ways Your AI Projects Fail, After Action Reviews and Post-Mortems

The recurring perception that artificial intelligence, AI, is somehow magical and can create something from nothing leads many projects astray. That’s part of the reason that the 2019 Price Waterhouse CEO Survey shows fewer than half of US companies are embarking on strategic AI initiatives – the risk of failure is substantial. In this series, we’re examining the most common ways AI projects will fail for companies at the beginning of your AI journey. Be on the lookout for these failures – and ways to remediate or prevent them – in your own AI initiatives.

Artificial IntelligenceChristopher S. PennMay 7, 2020AI, Christopher PennComment

5 Ways Your AI Projects Fail, Part 5

The recurring perception that artificial intelligence, AI, is somehow magical and can create something from nothing leads many projects astray. That’s part of the reason that the 2019 Price Waterhouse CEO Survey shows fewer than half of US companies are embarking on strategic AI initiatives – the risk of failure is substantial. In this series, we’re examining the most common ways AI projects will fail for companies at the beginning of your AI journey. Be on the lookout for these failures – and ways to remediate or prevent them – in your own AI initiatives.

Artificial IntelligenceChristopher S. PennFebruary 5, 2020Strategy, AI, Project Management, Christopher PennComment

5 Ways Your AI Projects Fail, Part 4

The recurring perception that artificial intelligence, AI, is somehow magical and can create something from nothing leads many projects astray. That’s part of the reason that the 2019 Price Waterhouse CEO Survey shows fewer than half of US companies are embarking on strategic AI initiatives – the risk of failure is substantial. In this series, we’re examining the most common ways AI projects will fail for companies at the beginning of your AI journey. Be on the lookout for these failures – and ways to remediate or prevent them – in your own AI initiatives.

Artificial IntelligenceChristopher S. PennJanuary 10, 2020Strategy, AI, Project Management, Christopher Penn

5 Ways Your AI Projects Fail, Part 3

Data requirements are the technical specifications of what data you will need for your project, who is responsible for that data, where and how it is stored and used, and what measures you’ve taken to protect and optimize it for usage.

Artificial IntelligenceChristopher S. PennDecember 10, 2019Strategy, AI, Project Management, Christopher Penn

Top Takeaways from Data and AI Forum

The Data and AI Forum was packed full of keynotes, hands-on labs, product roadmaps, and much more. Some of our consultants attended the conference have collaborated with each other to share the topics that caught their attention with you. Enjoy.

5 Ways Your AI Projects Fail, Part 2

The recurring perception that artificial intelligence, AI, is somehow magical and can create something from nothing leads many projects astray. That’s part of the reason that the 2019 Price Waterhouse CEO Survey shows fewer than half of US companies are embarking on strategic AI initiatives – the risk of failure is substantial. In this series, we’re examining the most common ways AI projects will fail for companies in the beginning of your AI journey. Be on the lookout for these failures – and ways to remediate or prevent them – in your own AI initiatives.

Artificial IntelligenceChristopher S. PennNovember 6, 2019Strategy, AI, Project Management, Christopher Penn

5 Ways Your AI Projects Fail, Part 1

The recurring perception that artificial intelligence, AI, is somehow magical and can create something from nothing leads many projects astray. That’s part of the reason that the 2019 Price Waterhouse CEO Survey shows fewer than half of US companies are embarking on strategic AI initiatives – the risk of failure is substantial. In this series, we’re examining the most common ways AI projects will fail for companies in the beginning of your AI journey. Be on the lookout for these failures – and ways to remediate or prevent them – in your own AI initiatives.

Artificial IntelligenceChristopher S. PennSeptember 30, 2019Strategy, AI, Project Management, Christopher Penn