CIO Business Intelligence
NOVEMBER 18, 2024
In the quest to reach the full potential of artificial intelligence (AI) and machine learning (ML), there’s no substitute for readily accessible, high-quality data. If the data volume is insufficient, it’s impossible to build robust ML algorithms. If the data quality is poor, the generated outcomes will be useless.
CIO Business Intelligence
APRIL 8, 2025
Yet failing to successfully address risk with an effective risk management program is courting disaster. Risk management is among the most misunderstood yet valuable aspects of leadership, Saibene observes. Organizations must deploy mechanisms to protect IP and to prevent sensitive data from being fed into public AI engines, he states.
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Analytics Vidhya
JANUARY 16, 2023
This article was published as a part of the Data Science Blogathon. The post Food Waste Management: AI Driven Food Waste Technologies appeared first on Analytics Vidhya. Introduction In today’s world, where the population is increasing at an alarming rate, food waste has become a major issue.
Analytics Vidhya
FEBRUARY 7, 2023
Introduction Are you ready to unlock the hidden key to success in product management? With the power of amplitude maps, you can now leverage data-driven decisions to take your products to the next level. Transform the way you approach product management and unlock unprecedented success.
Speaker: Claire Grosjean, Global Finance & Operations Executive
Finance teams are drowning in data—but is it actually helping them spend smarter? Key Takeaways: Data Storytelling for Finance 📢 Transforming complex financial reports into clear, actionable insights. Compliance and Risk Considerations ✅ Navigating data-driven finance while staying audit-ready.
O'Reilly on Data
MAY 14, 2020
In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager. In this article, we shift our focus to the AI Product Manager’s skill set, as it is applied to day to day work in the design, development, and maintenance of AI products. The AI Product Pipeline.
datapine
SEPTEMBER 29, 2022
1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust.
Advertiser: ZoomInfo
This eBook highlights best practices for developing a pipeline management process that helps sales leaders and their team C.L.O.S.E you’ll see what we mean in this eBook) more revenue through data-driven prospecting, stage analysis, and subsequent sales enablement.
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.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Understanding these trends is not only essential to staying ahead of the curve, but critical for those striving to remain competitive and innovative in an increasingly data-driven world.
Speaker: Evelyn Chou
We’ll explore essential criteria like scalability, integration ease, and customization tools that can help your business thrive in an increasingly data-driven world. Attendance of this webinar will earn one PDH toward your NPDP certification for the Product Development and Management Association.
Speaker: Sonia Singhal, Product Manager at eBay
These days, a simple A/B test can seem to incorporate the whole alphabet, and making a decision from that data isn't as easy as A, B, C either. How can we shorten the time it takes to do the tests while gaining larger amounts of data? Are we even gaining any new insight into the data we are receiving?
Speaker: Margaret-Ann Seger, Head of Product, Statsig
So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? Attendance of this webinar will earn one PDH toward your NPDP certification for the Product Development and Management Association.
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.
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