Harvard Business Review
APRIL 16, 2024
Having a crisp mental model around a problem, being able to break it down into steps that are tractable, perfect first-principle thinking, sometimes being prepared (and able to) debate a stubborn AI — these are the skills that will make a great engineer in the future, and likely the same consideration applies to many job categories.
Planview
OCTOBER 19, 2023
In the pursuit of successful digital transformation, many businesses have faced challenges stemming from fragmented data repositories and the implementation of multiple systems of record to accommodate evolving business demands. This is where adopting a digital toolchain integration hub becomes not just advantageous but imperative.
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Harvard Business Review
JUNE 6, 2023
Despite the buzz surrounding it, the prominence of prompt engineering may be fleeting. A more enduring and adaptable skill will keep enabling us to harness the potential of generative AI? It is called problem formulation — the ability to identify, analyze, and delineate problems.
Tullio Siragusa
OCTOBER 24, 2022
Data Innovation in Manufacturing Requires Integration. Technology that helps in connecting with suppliers for materials and managing product data with a digital platform makes the process faster, and more efficient. Engineering and manufacturing are complex fields where there is an intersection of people and technologies.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
Greg Loughnane and Chris Alexiuk in this exciting webinar to learn all about: How to design and implement production-ready systems with guardrails, active monitoring of key evaluation metrics beyond latency and token count, managing prompts, and understanding the process for continuous improvement Best practices for setting up the proper mix of open- (..)
Tullio Siragusa
DECEMBER 19, 2022
Exploring High-Growth Opportunities in Software Engineering The software industry is a mature and vast market with a high demand for software engineers. Let’s explore high-growth opportunities in software engineering, from AI, Cloud Computing to Internet of Things (IoT), and Cybersecurity.
Tullio Siragusa
AUGUST 8, 2022
Turning Reverse Engineering of Business Goals into Strategies. A lot of learning can come from reverse-engineering many things. Tech Backstage interviewed Jason Jepson to learn more about reverse engineering. Reverse-Engineering. Reverse-engineering means dismantling an item to check its functioning system.
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But none of this is possible without the most important element of a successful ABM program: good data. Data is the fuel that powers your ABM engine. Running an ABM program on data you don’t trust means wasted time, resources, and lost revenue. Without it, you can’t find and reach your target accounts.
Speaker: Tristan Kromer, Lean Agile Coach, Kromatic
increase isn't worth the engineering time we're spending! Some teams struggle to constantly optimize conversion rates without understanding the financial impact of those conversion rates. Sometimes that 0.1%
Speaker: Teresa Torres, Internationally Acclaimed Author, Speaker, and Coach at ProductTalk.org
As a result, many of us are still stuck in a project-world rut: research, usability testing, engineering, and a/b testing, ad nauseam. Data shows that the best product teams are shifting from this mindset to a continuous one. These methods are better than nothing, but how can we improve on this model?
Speaker: Nik Gowing, Brenda Laurel, Sheridan Tatsuno, Archie Kasnet, and Bruce Armstrong Taylor
In this session, participants will see how science data from such sources as NASA and NOAA, combined with local data inputs, can be used to both exponentially improve and accelerate net-zero carbon, climate positive and regenerative outcomes.
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