Investing in AI is a crucial business decision that can significantly impact a company's future. However, the substantial costs associated and the uncertainty of achieving profitable returns pose significant challenges. How can businesses effectively navigate this risk and make informed investment choices?

In this episode of our Technology Tangents podcast, Vincent Yates and Jason Goth engage in a conversation with Kevin Erickson, Partner at Credera, to delve into the intricacies of AI investment strategies. The discussion focuses on the startup-like nature of AI investments, how organizations should consider such investments, and effective methodologies for developing profitable generative AI business models.

In the latest episode of our Technology Tangents podcast, Vincent Yates and Jason Goth are joined by Kevin Erickson, Partner at Credera. The trio explore the transformative impact of AI on traditional development and testing processes, delving into critical questions that challenge our understanding of how software is built and validated. 

In the latest episode of our Technology Tangents podcast, Vincent Yates and Jason Goth are joined by Jake Carter, Chief Innovation Officer at Credera. In their discussion, our leaders explore the latest developments and transformative potential of AI, examining how AI is changing the game and driving innovation to new heights. 

As artificial intelligence (AI) continues to advance at an unstoppable pace, business leaders are being forced to think fast and act now.  

In this episode of our Technology Tangents podcast, technology experts Vincent Yates and Jason Goth take us on a journey through the intricate realm of AI philosophy and dive into the profound question: can AI diminish the value of human-crafted services and products?  

They explore the evolving relationship between artificial intelligence and human ingenuity and explain why savvy business leaders will be thinking three steps forward.  

Artificial Intelligence (AI) is continuing to evolve at a remarkable pace, revolutionizing industries and transforming how we live, work, and interact with technology. As it continues to advance and push the boundaries of what was once thought possible, how can CIOs effectively navigate the rapidly evolving AI landscape and harness its potential to drive competitive advantage for their organizations?

In the latest episode of our Technology Tangents podcast, Vincent Yates and Jason Goth shed light on the trials and tribulations faced by CIOs in this fast-paced, AI-driven era. They delve into the good and the bad of AI writing code within organizations and explain why savvy CIOs are taking action now.

Artificial intelligence (AI) is significantly influencing organizational design, introducing new possibilities and reshaping traditional structures. For business leaders, this poses the question: how do you reorganize your company so that you’re getting best of breed without reinventing the wheel from the ground up? 

In this episode of our Technology Tangents podcast, Vincent Yates and Jason Goth explore the profound influence of artificial intelligence on the very structure and design of modern organizations and provide practical insights for reorganizing companies in the face of AI.  

As businesses continue to embrace digital transformation, the role of artificial intelligence (AI) is becoming increasingly prominent. Amongst its many applications, generative AI has garnered close attention for its potential to revolutionise various industries and unleash the next wave of productivity. But before organisations dive head first into the investment pool, is this new tool really worth the spend?

In this episode, Vincent Yates and Jason Goth team up to discuss the economic and business implications of the latest, greatest thing: Generative AI.

Low-code tools and generative AI are revolutionizing the technology space before our eyes. As business leaders look to innovate and leverage these impressive tools, there's a lot to consider. The right solution will depend on requirements, expected development time, risk, in-house skill set, and of course, budget.

In our latest episode of Technology Tangents, we are joined by Jeremiah Stone, CTO of SnapLogic, and Greg Benson, Chief Scientist at SnapLogic, who are at the forefront of helping leaders think through these important decisions.

When and where should leaders use these tools verses building a system in house? What cautions and risks should they keep in mind? And how do you set up your organization to take advantage of these new technology superpowers?

The group discuss the evolution of what SnapLogic leaders call "higher abstraction tooling" (generative AI, low-code environments, integrated development environments [IDEs], and even platforms like SnapLogic) and share their top recommendations for executives.

The tale of IoT growth breaks out into two categories: IoT growth in the consumer category and IoT growth for the enterprise.

For the consumer, IoT products are truly transforming how people live in the 21st century. On the enterprise side, the conversation is all about productivity—how can IoT continue to create new efficiencies? Both categories drive a tremendous amount of activity, with 2022 spending on IoT reaching over $1 trillion.

The growth brings many new challenges—data management, privacy issues, and lifecycle management, to name a few.

In this episode of Technology Tangents, we are joined by special guest Gerald Jackson. Gerald is a Manufacturing/Supply Chain Operations & Technology executive with passion for innovation and over 20 years of experience bringing together teams to envision and deliver transformational, large-scale solutions/products to solve complex manufacturing and supply chain problems.

We discuss the current state of IoT, how to address the new challenges associated with the rapid growth, and how leaders should rethink the way they run their businesses when computing power and data can be anywhere.

As 2022 came to a close, we saw numerous companies that promised to transform an existing business with the power of AI/ML go through major rounds of layoffs and ultimately fail.

The question that deserved to be asked was, "was AI failing?"

Credera leaders discuss why AI technology wasn't the issue, but how many organizations were leveraging it. They share guidance on when organizations should build custom AI or when to buy preexisting third-party solutions, how to monetize data based on differentiated offerings, and discuss other ways organizations can avoid AI failures.