Data science teams as innovation initiatives

Data science teams as innovation initiatives

When a big, established company is thinking about their data science strategy, chances are good that whatever they come up with, it’ll be somewhat at odds with the company’s current structure and processes. Which makes sense, right? If you’re a many-decades-old company trying to defend a successful and long-lived legacy and market share, you won’t have the advantage that many upstart competitors have of being able to bake data analytics and science into the core structure of the organization. Instead, you have to retrofit. If you’re the data scientist working in this environment, tasked with being on the front lines of a data transformation, you may be grappling with some real institutional challenges in this setup, and this episode is for you. We’ll unpack the reason data innovation is necessarily challenging, the different ways to innovate and some of their tradeoffs, and some of the hardest but most critical phases in the innovation process. Relevant links: https://www.amazon.com/Innovators-Dilemma-Revolutionary-Change-Business/dp/0062060244 https://www.amazon.com/Other-Side-Innovation-Execution-Challenge/dp/1422166961

Tämä jakso on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi jakso saattaa sisältää mainontaa.

Jaksot(309)

How Do You Evaluate An AI Agent? (The Agents Season, Episode 7)

How Do You Evaluate An AI Agent? (The Agents Season, Episode 7)

Knowing when an AI agent has failed sounds straightforward — until it isn't. Agents have a frustrating habit of finishing confidently while quietly doing the wrong thing, or looping endlessly without ...

1 Kesä 31min

AI Agent Failure Modes (The Agents Season, Episode 6)

AI Agent Failure Modes (The Agents Season, Episode 6)

Despite what the marketing hype might suggest, AI agents are far from infallible — and if you've ever actually used one, you already know this. Today's episode dives deep into the many, varied, and so...

25 Touko 32min

Agentic Planning (The Agents Season, Episode 5)

Agentic Planning (The Agents Season, Episode 5)

When tackling a complex, multi-step task, even the smartest AI agent can fail without a solid game plan. This episode dives into the research around agentic planning — how agents move beyond simply re...

18 Touko 24min

Memory Management for AI Agents (The Agents Season, Episode 4)

Memory Management for AI Agents (The Agents Season, Episode 4)

Context windows are powerful — but finite, and surprisingly easy to overwhelm. When an AI agent is tackling a long, complex task, the information it needs has to fit inside that limited real estate, a...

10 Touko 24min

Lost in the Middle (The Agents Season, Episode 3)

Lost in the Middle (The Agents Season, Episode 3)

Just like a memorable talk lives or dies by its opening and closing, LLMs have a surprisingly similar quirk: they pay close attention to what's at the beginning and end of their context window — and k...

4 Touko 19min

ReAct and Tool Usage (The Agents Season, Episode 2)

ReAct and Tool Usage (The Agents Season, Episode 2)

Before 2022, there was a wall between AI and the real world — models could reason impressively, but couldn't look anything up, run code, or check whether anything they said was actually true. This epi...

27 Huhti 23min

What's an AI Agent? And Why's That Hard to Define? (The Agents Season, Episode 1)

What's an AI Agent? And Why's That Hard to Define? (The Agents Season, Episode 1)

AI agents are having a moment — and unpacking them properly takes more than a single conversation. This episode kicks off a dedicated multi-part season exploring AI agents from every angle, building u...

20 Huhti 19min

Unfaithful Chain of Thought

Unfaithful Chain of Thought

What's actually happening when an LLM "thinks out loud"? Research on human decision-making suggests that much of the reasoning we believe drives our choices is actually post hoc rationalization — we d...

13 Huhti 24min