Mon.Oct 28, 2019

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Why Data Security Is Seen As a Value Creator

Corinium

The passing of the California Data Privacy Act and first wave of GDPR fines are clear signs that data leaders can’t afford to take their eyes of the ball when it comes to compliance and security.

IT 186
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How Bayes’ Theorem is Applied in Machine Learning

KDnuggets

Learn how Bayes Theorem is in Machine Learning for classification and regression!

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Build Analytics, Build the Future

Sisense

Blog. The drive to build is innate. We all want to make things that leave a mark, no matter if it’s in our personal lives or in business. This desire absolutely weighs heavily on the minds of the people who work with business intelligence and analytics platforms. Our “Power to the Builders” campaign is meant to celebrate just that: the desire to build, the strength of creativity, and the transformational impact that builders have on business.

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Data Sources 101

KDnuggets

Data collection is one of the first steps of the data lifecycle — you need to get all the data you require in the first place. To collect the right data, you need to know where to find it and determine the effort involved in collecting it. This article answers the most basic question: where does all the data you need (or might need) come from?

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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The Growing Importance Of Big Data In Application Monitoring

Smart Data Collective

Big data has given birth to a number of new applications. Both mobile and desktop devices are able to use more sophisticated applications to serve users in every part of the world. Tech Beacon wrote some very insightful guidelines for people trying to develop applications. Big data isn’t just useful for developing new applications. It also is ideal for monitoring these applications more easily.

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Mentoring vs Coaching and considering the mentoring anti-hero

Jen Stirrup

I’m often approached for mentoring, and each request is very different in what people feel that they need. As a mentor, it’s worth being precise on whether you need a coach or a mentor. I think carefully about who I’d like to be in the next five years, and who I would not like to be. Coaches are more outcome based, and mentoring is more relationship based.

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Top Stories, Oct 21-27: Everything a Data Scientist Should Know About Data Management; How YouTube is Recommending Your Next Video

KDnuggets

Also: Introduction to Natural Language Processing (NLP); Anomaly Detection, A Key Task for AI and Machine Learning, Explained; How to Become a (Good) Data Scientist — Beginner Guide.

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Intelligent automation coming to IBM Cloud Pak for Data

IBM Big Data Hub

At IBM, we led the humans to the moon and coined the term machine learning 50 years ago. Now we are helping organizations scale the ladder to AI to reap rewards in growth, productivity and efficiency with IBM Watson. This journey to AI mirrors the history of travel. In this blog, I’ll describe how IBM Cloud Pak for Data accelerates the journey to AI and explore how AutoAI helps further boost the speed and business returns.

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DeepMind is Using This Old Technique to Evaluate Fairness in Machine Learning Models

KDnuggets

Visualizing the datasets is an essential component to identify potential sources of bias and unfairness. DeepMind relied on a method called Causal Bayesian networks (CBNs) to represent and estimate unfairness in a dataset.

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Extracting the value of location and time data just got simpler with IBM Cloud Pak for Data

IBM Big Data Hub

Proper use of time series and location data in prediction and optimization can considerably boost the yield of data science and AI initiatives. Using them properly in AI applications has been challenging, but spatiotemporal functions, implemented as part of Analytic Engines in Watson Studio, are now coming to Cloud Pak for Data. This is a Q&A exploring how that was done and what opportunities it makes possible.

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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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DataTech20 Seeking Speaker Submissions (16 March 2020, Glasgow)

KDnuggets

DataTech is a one-day conference on 16 Mar 2020, at the Technology and Innovation Centre in Glasgow, focusing on key topics in data science, and welcoming members of industry, academia, and the public sector alike. DataTech provides a forum for these different communities to meet, share knowledge and expertise, and forge new collaborations. We are currently welcoming workshop, talk and poster proposals for the DataTech20 conference.

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3 tips to successfully enhance collaboration between IT and the rest of the business

IBM Big Data Hub

The conversation around data preparation has been evolving. What started as a push for self-service access for specific use cases has now expanded to operationalizing a data pipeline across the enterprise. The goal is to create efficiencies and eliminate workflow silos to propel data strategy forward.

IT 40
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How Retailers Can Scare Up Profit this Halloween with Automated Machine Learning

DataRobot

Americans love Halloween and will spend around $9 billion for the holiday season -- $2.7 billion on candy alone, according to the National Retail Federation (NRF). This is a huge opportunity for consumer packaged goods (CPG) companies that produce candy and for many retailers to drive direct business and residual shopping traffic.

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Data Lineage and Power BI: Why is it important?

Jen Stirrup

The Microsoft Power BI team have released a preview Data Lineage feature and it is a good start for organizations who are starting to think about data management. The Power BI lineage view displays the lineage relationships between all the artifacts in a workspace, and all its external dependencies. Businesses need a clear line of sight on data asset ownership and stewardship.

IT 85
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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.