February, 2019

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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

How companies in Europe are preparing for and adopting AI and ML technologies. In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. In practice this means developing a coherent strategy for integrating artificial intelligence (AI), big data, and cloud components, and specifically investing in foundational technologies needed to sustain the sensible use of da

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How Do Analytics and Business Intelligence Vendors Stack Up?

David Menninger's Analyst Perspectives

I am happy to share some insights gleaned from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research.

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How do Data Professionals Spend their Time on Data Science Projects?

Business Over Broadway

Data science projects require data professionals to devote their energy toward different activities toward project completion. Results of a recent study of over 23,000 data professionals found that data scientists spend about 40% of gathering and cleaning data, 20% of their time building and selecting models and 11% of their time finding insights and communicating them to stakesholders.

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5 ways organizations can benefit from machine learning

IBM Big Data Hub

Machine learning (ML) offers huge potential to help compliance and legal teams accomplish many of their most important rule tracking, employee monitoring and documentation activities.

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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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Digital Transformation in Municipal Government: The Hidden Force Powering Smart Cities

erwin

Smart cities are changing the world. When you think of real-time, data-driven experiences and modern applications to accomplish tasks faster and easier, your local town or city government probably doesn’t come to mind. But municipal government is starting to embrace digital transformation and therefore data governance. Municipal government has never been an area in which to look for tech innovation.

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4 Basic Tips For Writing A Better Business Case

BA Learnings

Business Analysts are often required to write business cases to justify whether or not a concept/product is viable. Business cases can be of varying lengths and structure. Taking on such a task can seem intimidating, but it doesn’t have to be. Here are four basic but easily forgotten tips that will make the process easier, and result in a winning business case. 1.

IT 100

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Information Builders Earns Top Analytics and BI Honors

David Menninger's Analyst Perspectives

I am happy to offer some insights on Information Builders drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research.

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AI, BI and Data: Who's Going To Win by 2020?

Bruno Aziza

We started this decade delighted about sharing data and insights. We're ending it realizing that, without strong governance, self-service can be a nightmare.

IT 91
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The Insights Beat: Quash The Groundhog Day Effect In Your Insights Journey

Srividya Sridharan

It’s early February. Punxsutawney Phil predicted an early spring this year, and there is hope (and warmth) in the air.[i] But it’s not always rosy for you as a data, analytics, and insights leader. You tirelessly toil to get value from your enterprise data and try to apply those insights at scale to impact business […].

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Four Use Cases Proving the Benefits of Metadata-Driven Automation

erwin

Organization’s cannot hope to make the most out of a data-driven strategy, without at least some degree of metadata-driven automation. The volume and variety of data has snowballed, and so has its velocity. As such, traditional – and mostly manual – processes associated with data management and data governance have broken down. They are time-consuming and prone to human error, making compliance, innovation and transformation initiatives more complicated, which is less than ideal in the informati

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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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Typical Data Scientist 2019

Data Science 101

The profile of a data scientist is changing slightly as the profession becomes more solidified. Data Science 365 conducts a study to determine some of the characteristics of a “typical data scientist.” The below infographic covers a wealth of information from programming languages used to educational backgrounds to locations. It is definitely worth looking at to understand the attributes of a data scientist in 2019.

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Why your attention is like a piece of contested territory

O'Reilly on Data

The O’Reilly Data Show Podcast: P.W. Singer on how social media has changed, war, politics, and business. In this episode of the Data Show , I spoke with P.W. Singer , strategist and senior fellow at the New America Foundation, and a contributing editor at Popular Science. He is co-author of an excellent new book, LikeWar: The Weaponization of Social Media , which explores how social media has changed war, politics, and business.

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IBM Brings Breadth and Depth to Analytics

David Menninger's Analyst Perspectives

I am happy to share some insights about IBM drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research.

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IBM embraces multicloud warehouse availability on AWS, adds elastic SMP

IBM Big Data Hub

The focus on customer needs for greater choice and flexibility is a constant at the IBM Think 2019 conference. Nowhere is this more evident than in IBM Hybrid Data Management, which supports data of any type, source and structure, be it on-premises or in the cloud.

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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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Cash Is Still King – Make Sure Your Business Is Prepared for the Next Recession

Teradata

If your organization understands customer profitability in detail, then your organization can easily navigate through a recession.

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Top Cloud Computing Products and Services Used by Data Scientists

Business Over Broadway

A recent survey revealed that 69% of data pros have used at least one cloud computing product in the last 5 years while 62% of data pros have used at least one cloud computing service in the last 5 years. The most popular cloud computing products include AWS Elastic Compute, Google Cloud Engine and AWS Lambda. The most popular cloud computing services include Amazon Web Services, Google Cloud Platform and Microsoft Azure.

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Free Online Data Science Books

Data Science 101

Data Journalism Handbook 2 – Online beta access to the first 21 chapters Select Star SQL – A book that is also a walk-through interactive tutorial for learning SQL Dive Into Deep Learning – A very detailed and up-to-date book on Deep Learning; used at Berkeley. It also includes Jupyter notebooks. R for Data Science – Just like the title says, learn to use R for data science.

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The technical, societal, and cultural challenges that come with the rise of fake media

O'Reilly on Data

The O’Reilly Data Show Podcast: Siwei Lyu on machine learning for digital media forensics and image synthesis. In this episode of the Data Show , I spoke with Siwei Lyu , associate professor of computer science at the University at Albany, State University of New York. Lyu is a leading expert in digital media forensics, a field of research into tools and techniques for analyzing the authenticity of media files.

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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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MicroStrategy Battles for Top Spot in Analytics and BI

David Menninger's Analyst Perspectives

I am happy to offer some insights on MicroStrategy drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research.

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Digital transformation: An elevator-pitch comic book

IBM Big Data Hub

Join Dion Hinchcliffe as he stars in his first comic book, leading the charge to uncover the keys to a trusted, business-ready analytics foundation to know, trust, and use your data.

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On Collaboration Between Data Science, Product, and Engineering Teams

Domino Data Lab

Eugene Mandel , Head of Product at Superconductive Health , recently dropped by Domino HQ to candidly discuss cross-team collaboration within data science. Mandel’s previous leadership roles within data engineering, product, and data science teams at multiple companies provides him with a unique perspective when identifying and addressing potential tension points.

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DataRobot Acquires Cursor

DataRobot

DataRobot , the leader in automated machine learning, is proud to announce its acquisition of Cursor , a San Francisco-based company that provides a data collaboration platform which helps organizations find, understand and use data more efficiently.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Help set the standards for a Data Scientist

Data Science 101

The field of data science is moving fast. People are claiming to be data scientists; yet the knowledge, experience, and backgrounds of those people can be very different. Different is not bad. However, there a little standards around what exactly a data scientist is. Sticking with this week’s theme of “What is a Data Scientist”, an organization titled, Initiative for Analytics and Data Science Standards (IADSS) has kicked-off a research study at global scale.

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The Intricacies of Financial Analytics in the Event Industry

BizAcuity

Financial Analytics – An Outlook. In today’s world of competitive businesses, analytics is an essential part of staying competitive especially in this digital era where data is omnipresent. Financial analytics is helping businesses in understanding current and past performance; predict future performance thereby arriving at making smarter decisions.

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BOARD Combines Business Intelligence with Planning

David Menninger's Analyst Perspectives

I am happy to share some insight on BOARD drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research.

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Five high notes from Think 2019

IBM Big Data Hub

At IBM's recent Think 2019, enterprises embarking upon their AI journey were squarely focused on sessions and labs focused on how to get data ready for successful AI deployments. We sent our newest, freshest team member Thomas LaMonte loose at Think during his second week at IBM to get his first impressions.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Digital Transformation Examples: How Data Is Transforming the Hospitality Industry

erwin

The rate at which organizations have adopted data-driven strategies means there are a wealth of digital transformation examples for organizations to draw from. By now, you probably recognize this recurring pattern in the discussions about digital transformation: An industry set in its ways slowly moves toward using information technology to create efficiencies, automate processes or help identify new customer or product opportunities.

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DataRobot’s Oscar Prediction 2019: All Eyes on Best Picture

DataRobot

This blog is meant to be a fun and unique take on predicting Best Picture for the 91st Academy Awards.

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Compare the Top 7 Microsoft Dynamics Business Intelligence and Analytics Platforms

Jet Global

Choosing to buy a business intelligence (BI) and analytics solution for your Microsoft Dynamics system is a big step. There are many vendors to select from, with all the functionality and benefits you could imagine. Before you get into the features, it’s always important to do a full evaluation of your organization. The first step in software selection is to understand what capabilities you need in a solution to help you achieve your analytics goals.

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What my first Silver Medal taught me about Text Classification and Kaggle in general?

MLWhiz

Kaggle is an excellent place for learning. And I learned a lot of things from the recently concluded competition on Quora Insincere questions classification in which I got a rank of 182/4037. In this post, I will try to provide a summary of the things I tried. I will also try to summarize the ideas which I missed but were a part of other winning solutions.

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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!