company team 
DataKitchen
DECEMBER 9, 2024
A Drug Launch Case Study in the Amazing Efficiency of a Data Team Using DataOps How a Small Team Powered the Multi-Billion Dollar Acquisition of a Pharma Startup When launching a groundbreaking pharmaceutical product, the stakes and the rewards couldnt be higher. data engineers delivered over 100 lines of code and 1.5
O'Reilly on Data
APRIL 8, 2025
As they move into the workforce, they need to deepen their knowledge and become part of a team writing a software system for a paying customer. A leader is someone that team members go to with questions. First, we hear it said all too often that companies wont need junior developers any more. What resources are available?
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CIO Business Intelligence
JANUARY 6, 2025
To ensure his team can meet the challenges that such growth brings, he has doubled his IT staff and invested in upskilling his team. Still, she sees more work to be done and is partnering with the companys infrastructure and innovation teams to build on this momentum. But its no longer about just standing it up.
DataKitchen
MARCH 20, 2025
Unlocking Data Team Success: Are You Process-Centric or Data-Centric? Over the years of working with data analytics teams in large and small companies, we have been fortunate enough to observe hundreds of companies. We want to share our observations about data teams, how they work and think, and their challenges.
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- (..)
CIO Business Intelligence
JANUARY 14, 2025
The 2024 Enterprise AI Readiness Radar report from Infosys , a digital services and consulting firm, found that only 2% of companies were fully prepared to implement AI at scale and that, despite the hype , AI is three to five years away from becoming a reality for most firms. Formulate a plan to bring those workstreams up to speed.
O'Reilly on Data
JANUARY 21, 2025
TL;DR: Enterprise AI teams are discovering that purely agentic approaches (dynamically chaining LLM calls) dont deliver the reliability needed for production systems. Your companys AI assistant confidently tells a customer its processed their urgent withdrawal requestexcept it hasnt, because it misinterpreted the API documentation.
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days.
Speaker: Kim Antelo, Transformation Coach
Product teams are all too often prone to focusing on the wrong thing. Many businesses implement Objectives and Key Results, but few focus on smaller, more measurable outcomes at the team or product level. She will also discuss: The overlap between HEART and Pirate AAARRR metrics.
Advertiser: Data Robot
As technology transforms the global business landscape, companies need to examine and update their internal processes for innovation to keep pace.
Advertiser: ZoomInfo
For the first time, we’re sharing the winning plays that took us from scrappy startup to a publicly traded company. Meet your modern sales playbook - See how high-performing sales and marketing teams increase pipeline year-over-year. Use our proven data-driven plays to grow your pipeline and crush your revenue targets.
Advertiser: ZoomInfo
Today, many B2B companies use ABM teams or technologies to make sales. Account-based marketing (ABM) is a key strategy for driving sustainable growth. But getting a program off the ground successfully doesn’t have to be a daunting task.
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Many companies are looking to redesign their supply chain network to lower costs, improve service levels and reduce risks in the new year. To do this, teams are finding that they need to perform network assessments more regularly and in-house. Scenario modeling is emerging as a key capability.
Advertiser: ZoomInfo
Multiple industry studies confirm that regardless of industry, revenue, or company size, poor data quality is an epidemic for marketing teams. As frustrating as contact and account data management is, this is still your database – a massive asset to your organization, even if it is rife with holes and inaccurate information.
Advertiser: Data Robot
In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale. How MLOps helps bridge the production gap between systems and teams. AI operations, including compliance, security, and governance.
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