Thu.Sep 03, 2020

article thumbnail

Precision vs. Recall – An Intuitive Guide for Every Machine Learning Person

Analytics Vidhya

Overview Precision and recall are two crucial yet misunderstood topics in machine learning We’ll discuss what precision and recall are, how they work, and. The post Precision vs. Recall – An Intuitive Guide for Every Machine Learning Person appeared first on Analytics Vidhya.

article thumbnail

Integrating Data Governance and Enterprise Architecture

erwin

Aligning these practices for regulatory compliance and other benefits. Why should you integrate data governance (DG) and enterprise architecture (EA)? It’s time to think about EA beyond IT. Two of the biggest challenges in creating a successful enterprise architecture initiative are: collecting accurate information on application ecosystems and maintaining the information as application ecosystems change.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Recommendation Engines 101

Dataiku

Recommendation engines are everywhere today, whether explicitly offered to users (e.g., Amazon or Netflix, the classic examples) or working behind the scenes to choose which content to surface without giving the user a choice. And while building a simple recommendation engine can be quite straightforward, the real challenge is to actually build one that works and where the business sees real uplift and value from its output.

IT 105
article thumbnail

Move From Insight To Impact: Data Strategy & Insights 2020

Srividya Sridharan

The digital future is here. And data, analytics, and AI are going to drive this future. These capabilities are becoming more crucial to stay ahead of uncertainty and change and get smarter about every aspect of your business: your customers, your suppliers and partners, your competitors, your employees, your processes, your operations, and your markets.

article thumbnail

Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

article thumbnail

Finding the ‘good’ in 2020 and beyond

Cloudera

I think we can all agree that it would be nice to have some good news in 2020, which is why the Data for Good category in this year’s Cloudera Impact Awards is such a pertinent one. The awards program is an annual corporate competition celebrating game-changing data-implementation projects. The Data for Good category recognizes organizations that have tackled some of the most challenging issues affecting society and the planet, making what was impossible in the past, possible today.

article thumbnail

Analyst, Scientist, or Specialist? Choosing Your Data Job Title

Sisense

Blog. In The Future of Work , we explore how companies are transforming to stay competitive as global collaboration becomes vital. We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! The good news is that if you are passionate about data and have the skills to back it up, you can probably find a challenging, rewarding role.

More Trending

article thumbnail

The Power of Data and Analytic Processing Gravity

Teradata

Taking the definition of physical gravity & extending it to data analytics, we explore the opportunities to combine data gravity with analytic processing, at scale with Vantage.

article thumbnail

How CFOs Can Lead With Foresight

Jedox

The depth and breadth of the 2020 crisis caught many unaware. It thrust the Chief Financial Officer (CFO) to the frontline of business survival and saw many setting up cash control towers with granular oversight over cash flow, receivables, and payables to navigate disruptions. The new normal introduced new risks from employee health and safety, supply chain stress and government mandates – all with working capital implications.

article thumbnail

Accountancy Today: A New World in Transfer Pricing

Jet Global

The UK economy remains fragile as the lockdown eases and we attempt to kick-start many sectors again. Government financial support and policy has prevented – or indeed delayed – the collapse of many businesses, but it is unclear how the global economy as a whole will recover over time. Having said that, it is clear that governments have added huge amounts to national debts during this crisis to help businesses of every size.

article thumbnail

Interview With Tarik Dwiek, Director of Technology Alliances at Snowflake

Dataiku

Upon engaging in a strategic partnership earlier this year, the teams at both Dataiku and Snowflake have continuously untapped new ways to drive value for organizations as they aim to build robust, end-to-end data science workflows and accelerate their data science and AI initiatives, infusing agility and collaboration along the way.

article thumbnail

How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

article thumbnail

Is Data Virtualization the New Database?

Data Virtualization

We’ve all heard the common expressions of the form “thing A is the new thing B.” Often spoken in a whimsical tone, this expression is meant to denote that “thing B” is being replaced in usage and popularity by “thing.

article thumbnail

Move From Insight To Impact: Data Strategy & Insights 2020

Srividya Sridharan

The digital future is here. And data, analytics, and AI are going to drive this future. These capabilities are becoming more crucial to stay ahead of uncertainty and change and get smarter about every aspect of your business: your customers, your suppliers and partners, your competitors, your employees, your processes, your operations, and your markets.

article thumbnail

PODCAST: AI for Digital Enterprise – Episode 5: How Intelligent Operations can become prime advantage for enterprises

bridgei2i

PODCAST: AI for the Digital Enterprise. Episode 5: How Intelligent Operations can become prime advantage for enterprises. Listening time: 11 minutes. How Intelligent Operations can become prime advantage for enterprises. Outcomes, processes, and talent define a synergetic ecosystem for modern-day enterprises and therefore enterprises are constantly looking for opportunities to drive better customer experience, improve operational efficiency, and provide the right tools and information to their e

article thumbnail

Building Bridges — Best Practices for BI Teams Working with Data Teams

Sisense

Blog. Implementing analytics at your company is a multi-team job. In Building Bridges , we focus on helping end-users, app builders, and data experts select and roll out analytics platforms easily and efficiently. Selecting and implementing a new BI and analytics platform is a big decision and can be a vital part of an organization’s digital transformation.

article thumbnail

Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.