Tue.Aug 09, 2022

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What Is Data Integrity?

Alation

Today, data is more valuable to a company than it’s ever been. It can help you make data-driven decisions which can improve business performance, boost revenue, and improve efficiencies. But almost all industries across the world face the same challenge: they aren’t sure if their data is accurate and consistent, which means it’s not trustworthy. This can cause anything from day-to-day issues to significant business problems and risks.

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Minerva – Google’s Language Model for Quantitative Reasoning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Minerva [link] Google presented Minerva; a neural network created in-house that can break calculation questions and take on other delicate areas like quantitative reasoning. The model for natural language processing is called Minerva. Recently, experimenters have developed a very sophisticated natural language […].

Modeling 399
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On Technique

O'Reilly on Data

In a previous article , I wrote about how models like DALL-E and Imagen disassociate ideas from technique. In the past, if you had a good idea in any field, you could only realize that idea if you had the craftsmanship and technique to back it up. With DALL-E, that’s no longer true. You can say, “Make me a picture of a lion attacking a horse,” and it will happily generate one.

Software 267
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What is a data engineer? An analytics role in high demand

CIO Business Intelligence

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. This IT role requires a significant set of technical skills, including deep knowledge of SQL database design and multiple programming languages.

Analytics 131
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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.

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Agile Technology and Big Data Improve the State of Cybersecurity

Smart Data Collective

The risk of data breaches is rising sharply. The number increased 56% between 2017 and 2018. Fortunately, new technology can help enhance cybersecurity. Big data technology is becoming more important in the field of cybersecurity. Cybersecurity experts are using data analytics and AI to identify warning signs that a firewall has been penetrated, conduct risk scoring analyses and perform automated cybersecurity measures.

Big Data 108
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AI for Decision-Makers: How to Win Trust from the Outset

CIO Business Intelligence

In business, data science and artificial intelligence are usually geared towards powerful efficiencies and growth. User trust is often overlooked. This can quickly morph into a major problem, particularly when AI is introduced to support strategic choices. Data science and AI teams focus constantly on methodology and accuracy. This is critical, ensuring algorithms deliver valuable insights, analytics and support increased automation.

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6 Ways Businesses Can Benefit From Machine Learning

KDnuggets

Machine learning is gaining popularity rapidly in the business world. Discover the ways that your business can benefit from machine learning.

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The future of data architecture is hybrid: choosing your hybrid-first data strategy starts at Cloudera Now 2022

Cloudera

With all of the buzz around cloud computing, many companies have overlooked the importance of hybrid data. Many large enterprises went all-in on cloud without considering the costs and potential risks associated with a cloud-only approach. The truth is, the future of data architecture is all about hybrid. Hybrid data capabilities enable organizations to collect and store information on premises, in public or private clouds, and at the edge — without sacrificing the important analytics needed to

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3 Free Statistics Courses for Data Science

KDnuggets

Statistics is one of the most in-demand data science skills. Master it for free with these online courses.

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How to make your new cloud-first strategy work with full-stack observability

CIO Business Intelligence

Over the past decade, an ever-growing number of organisations have taken their infrastructure and applications to the cloud, delivering noticeable results impacting the bottom line and several other business metrics. This is why today, a cloud-first strategy is rightly recognised even by many non-IT corporate leaders as the catalyst for rapid digital transformation and a key enabler for businesses to respond to constantly evolving customer and employee needs.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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3 Benefits to A/B Testing (+ Where to Get Started)

KDnuggets

Let’s look at 3 concrete benefits that demonstrate why A/B testing is worth your time and effort. Then learn more about Ronny’s upcoming course, "Accelerating Innovation with A/B Testing.".

Testing 81
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Dataiku Is a Forbes Top 100 Cloud Honoree Again in 2022

Dataiku

We are excited to share that Dataiku has been named to the Forbes Cloud 100 for the third time, this year jumping to #77. The 2022 Forbes Cloud 100 is the definitive ranking of the top 100 private cloud companies in the world, published by Forbes in partnership with Bessemer Venture Partners and Salesforce Ventures. We are honored to be recognized amongst the best and brightest private cloud computing companies, including our ecosystem partners like Collibra, Fivetran, Gitlab, and others.

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An Introduction to Disaster Recovery with the Cloudera Data Platform

Cloudera

The previous decade has seen explosive growth in the integration of data and data-driven insight into a company’s ability to operate effectively, yielding an ever-growing competitive advantage to those that do it well. Our customers have become accustomed to the speed of decision making that comes from that insight. Data is integral for both long-term strategy and day-to-day, or even minute-to-minute operation.

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What Data-Driven Companies Must Know About NoSQL Database

Smart Data Collective

Big data technology is a double-edged sword for many companies. They are discovering that there are countless benefits of investing in data in business. Unfortunately, making use of big data is a challenge for many companies. They have accumulated large amounts of data, but struggle to analyze it. Only around 12% of their data is properly analyzed. The issue is that it is difficult to manage data without the right infrastructure.

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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