How Leaders Can Use Failure to Drive Growth

On this episode of The Suite Spot hosts Carlos VargasHoward Holton and Paul Lewis sit down for a thought provoking discussion on how IT leaders can line their organizations up for a successful new year.

“What are they going to learn from what’s happened now to figure out how to lead going forward?” asked Lewis to kick off the discussion.

Holton and Lewis discuss the fallacy of survivorship bias and how analyzing how businesses have been successful in the past is not a complete strategy to designing success in the future.  It is more valuable to look at past successes in combination with those who failed and those who were moderately successful.

Trying to copy the model of the successful is not the best approach.  That is just the model that was successful at that particular time.  Focusing on “becoming the next Amazon” is a flawed approach.

“In reality, we don’t learn from success.  We learn from failure,” said Holton.

Vargas, Lewis, and Holton analyzed the successes and failures of video conferencing and remote communication technologies as an example.  How did they become successful?  Are their products truly superior?  How do these businesses change going into a new year?

When it comes to achieving success, Lewis said, “Focus on where you want to go, not what you want to avoid.”  Leverage the things your business does well and keep sight of the end goal.

There’s more to success than just having a better product.  Many businesses have had the better product and still failed.  Start by selling the “why” of the product and pick out strategic objectives to maintain a true direction and focus for the company.

Make Sure to Subscribe to The Suite Spot to Stay Up to Date!

Follow us on social media for the latest updates in B2B!

Image

Latest

GPUs
OpenAI–Cerebras Deal Signals Selective Inference Optimization, Not Replacement of GPUs
February 18, 2026

OpenAI’s partnership with Cerebras has raised questions about the future of GPUs in inference workloads. Cerebras uses a wafer-scale architecture that places an entire cluster onto a single silicon chip. This design reduces communication overhead and is built to improve latency and throughput for large-scale inference. Mark Jackson, Senior Product Manager at QumulusAI, says…

Read More
nvidia rubin
NVIDIA Rubin Brings 5x Inference Gains for Video and Large Context AI, Not Everyday Workloads
February 18, 2026

NVIDIA’s Rubin GPUs are expected to deliver a substantial increase in inference performance in 2026. The company claims up to 5 times the performance of B200s and B300s systems. These gains signal a major step forward in raw inference capability. Mark Jackson, Senior Product Manager at QumulusAI, explains that this level of performance is…

Read More
autonomous trucking
Autonomous Trucking Can Shrink Coast-to-Coast Delivery Times and Increase Fleet Productivity
February 18, 2026

The idea of a self-driving 80,000-pound truck barreling down the interstate once felt like science fiction. Now, it’s operating on real freight lanes in Texas. After years of hype and recalibration, autonomous trucking is entering its proving ground. Persistent driver shortages and rising freight demand have forced the industry to look beyond incremental improvements. The…

Read More
top 1%
Get Vertical! Going from Idea to the Top 1% in Less Than 3 Years
February 17, 2026

Independent retail is operating in one of the most competitive environments in decades. According to the U.S. Bureau of Labor Statistics, roughly 20% of new businesses fail within their first year, and a whopping 50% don’t make it to year five. At the same time, consumers are increasingly choosing brands that offer community, authenticity,…

Read More