Sat.Jan 05, 2019 - Fri.Jan 11, 2019

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7 data trends on our radar

O'Reilly on Data

From infrastructure to tools to training, Ben Lorica looks at what’s ahead for data. Whether you’re a business leader or a practitioner, here are key data trends to watch and explore in the months ahead. Increasing focus on building data culture, organization, and training. In a recent O’Reilly survey , we found that the skills gap remains one of the key challenges holding back the adoption of machine learning.

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8 Tips For Implementing A Successful Business Intelligence Strategy

BA Learnings

In order to keep your business competitive, drive growth, ensure continuous improvement and enhance profits, a Business Intelligence (BI) strategy is essential. But a BI strategy is not just about technology or choosing the right platform. Like any part of your business, BI requires strategy, planning, buy-in, execution and continuous review. In this blog post, we will look at the key steps to implementing a business intelligence strategy.

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Blockchain And GDPR: Not Mutually Exclusive But Can Be A Toxic Blend

Martha Bennett

Depending on who you listen to, the combination of GDPR and distributed ledger technology (DLT, AKA blockchain) is either a poisonous cocktail or a magic potion. As you’d expect, the reality is more nuanced: While GPDR poses a challenge to DLT-based architectures, it doesn’t make them obsolete or unviable. Furthermore, DLT can actually form an integral […].

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Deliver Step Change Impact: Marketing & Analytics Obsessions

Occam's Razor

Some moments in time are perfect to reflect on where you are, what your priorities are, and then consider what you should start-stop-continue. In those moments, you are not thinking of delivering incremental change… You are driven by a desire to deliver a step change (a large or sudden discontinuous change, especially one that makes things better – I’m borrowing the concept from mathematics and technology, from “step function”).

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State of AI in Sales & Marketing 2025

AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.

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How the Data Science Elite helped uncover a gold mine at Experian

IBM Big Data Hub

Find out more about how the IBM Data Science Elite team helped Experian succeed at better analyzing their data at Think 2019.

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5 Ways To Manage Denial On Business Projects

BA Learnings

You meet a client to discuss a problem. You present the facts and suggest solutions. They refuse to acknowledge your ideas. Worse still, they even refuse to accept the facts or shift their perspective. What can a Business Analyst do in such circumstances? Here are five ways to minimize confrontation, manage denial and find ways forward on business projects. 1.

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A Layman guide to moving from Keras to Pytorch

MLWhiz

Recently I started up with a competition on kaggle on text classification, and as a part of the competition, I had to somehow move to Pytorch to get deterministic results. Now I have always worked with Keras in the past and it has given me pretty good results, but somehow I got to know that the CuDNNGRU/CuDNNLSTM layers in keras are not deterministic, even after setting the seeds.

IT 75
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Is your data ready for AI? Part 1

IBM Big Data Hub

Enterprise leaders understand the importance of integrating AI into their business models. However, there's a big difference between experimenting with AI and true enterprise-grade integration of AI.

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Who Was Smarter, Karl Benz or Sigmund Freud?

Teradata

David Socha compares Karl Benz and Sigmund Freud, two people that fundamentally and indisputably influenced how we live today.

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Building the Intelligent Enterprise

Timo Elliott

Here’s a short recording explaining how the intelligent enterprises of the future can use the latest technologies such as machine learning to optimize the end-to-end customer experience, increase productivity, and improve workforce engagement.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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Themes and Conferences per Pacoid, Episode 5

Domino Data Lab

In Paco Nathan ‘s latest column, he explores the theme of “learning data science” by diving into education programs, learning materials, educational approaches, as well as perceptions about education. He is also the Co-Chair of the upcoming Data Science Leaders Summit, Rev. Introduction. Welcome back to our monthly series about data science.

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Data Science: Influencers review 2018 and share their 2019 predictions

IBM Big Data Hub

Data science was one of the hot topics of 2018, and it’s likely to dominate again in 2019. We've asked five key data science influencers to take a look back at 2018 and look ahead at what's to come in 2019.

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Blockchain And GDPR: Not Mutually Exclusive But Can Be A Toxic Blend

Martha Bennett

Depending on who you listen to, the combination of GDPR and distributed ledger technology (DLT, AKA blockchain) is either a poisonous cocktail or a magic potion. As you’d expect, the reality is more nuanced: While GPDR poses a challenge to DLT-based architectures, it doesn’t make them obsolete or unviable. Furthermore, DLT can actually form an integral […].

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Top 10 Most Viewed Chart Reference Pages in 2018

The Data Visualisation Catalogue

For two years in a row now, I’ve published what chart reference pages have been the most popular on the website. In the initial post in April 2017 , I looked at this data from the launch of the website (26 th December 2013) till 1 st February 2017 (so around 3 years worth of data). While, the post from last year looked at the data from 6 th Jan 2017 to 6 th Jan 2018, which only showed the page views from a single year.

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Zero Trust Mandate: The Realities, Requirements and Roadmap

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.

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Data Preparation and Data Mapping: The Glue Between Data Management and Data Governance to Accelerate Insights and Reduce Risks

erwin

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. But the attempts to standardize data across the entire enterprise haven’t produced the desired results. A company can’t effectively implement data governance – documenting and applying business rules and processes, analyzing the impact of changes and conducting audits –

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Why analytics pros should go to Think 2019

IBM Big Data Hub

Are you working to collect, organize, analyze or modernize your company’s data? Is your business on the ladder to AI? Then you should join us at IBM Think 2019, the event of the year for analytics pros and business leaders.

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Enterprise Opportunities to Apply Reinforcement Learning & AI

Teradata

Reinforcement learning is the machine learning approach that is behind some of the most talked about advances in AI.

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Gaining Real Time Insight

Data Virtualization

Allow me to introduce the (fictitious) Advanced Banking Corporation, or ABC for short. It may be advanced in name, but its IT systems are anything but. ABC will be our constant companion as we explore all three scenarios for data. The post Gaining Real Time Insight appeared first on Data Virtualization and Modern Data Management.

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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

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The Advantages of Augmented Analytics!

Smarten

What Are the Advantages of Augmented Analytics? Advanced analytics benefits are too numerous to mention! What if your business users could leverage self-serve advanced analytics to see and use data in a way that made their jobs easier and made them more of an asset to the business? Augmented Analytics advantages support users by empowering them and encouraging user adoption with auto-recommendations and suggestions that help them visualize data in a way that makes sense for the type of data they

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A holistic approach to segmentation and customer analysis

3AG Systems

Customer analysis may be the most important market segmentation analysis you can perform for your business. Without it, trying to find new customers, or selling more services to existing customers, will likely have limited success. Unless you really get to know your customers, your business won’t be a in position to meet their needs. The traditional approach to customer analysis is often driven by marketing because this team needs to understand the customer to target them directly.

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Enterprise Opportunities to Apply Reinforcement Learning & AI

Teradata

Reinforcement learning is the machine learning approach that is behind some of the most talked about advances in AI.

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A Pragmatic Path to the Retail Cloud

Nutanix

The tangible benefits of the enterprise cloud are transforming retail. These cloud-driven changes are more than a marginal evolution toward more efficient, scalable, and connected business systems.

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The GTM Intelligence Era: ZoomInfo 2025 Customer Impact Report

ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!

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Preventing Data Breaches with App-Centric Security

Nutanix

The volume and sophistication of cyber attacks along with extensive losses from successful exploits being covered in the media have made security a top priority for IT leadership. No business wants to make headlines because of a security breach.

IT 20
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Commvault Heads to.NEXT

Nutanix

We recently caught up with Greg White, Director of Alliance Marketing at Commvault, to talk about the Commvault and Nutanix partnership and his expectations for the upcoming.NEXT conference.