O'Reilly on Data

FEBRUARY 4, 2019

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

Machine Learning 278

Machine Learning Enterprise IoT Big Data 278

David Menninger's Analyst Perspectives

FEBRUARY 4, 2019

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.

Business Intelligence 243

Business Intelligence Analytics ROI Software 243

BA Learnings

FEBRUARY 23, 2019

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

IT 100

Business Over Broadway

FEBRUARY 19, 2019

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.

Data Science 109

Data Science Statistics Visualization Modeling 109

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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?

Business Intelligence

IBM Big Data Hub

FEBRUARY 22, 2019

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.

Machine Learning 107

Machine Learning 107

erwin

FEBRUARY 28, 2019

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.

Digital Transformation 106

Digital Transformation Data Governance Data-driven Data Warehouse 106

David Menninger's Analyst Perspectives

FEBRUARY 6, 2019

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.

Analytics 182

Analytics Business Intelligence ROI Software 182

Srividya Sridharan

FEBRUARY 7, 2019

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 […].

Enterprise 88

Enterprise Data Analytics Analytics Predictive Analytics 88

Bruno Aziza

FEBRUARY 24, 2019

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

IT 91

Data Science 101

FEBRUARY 11, 2019

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.

Data Science 85

Data Science IT 85

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Data-driven

erwin

FEBRUARY 7, 2019

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

Metadata 96

Metadata Insurance Data-driven Cost-Benefit 96

O'Reilly on Data

FEBRUARY 28, 2019

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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David Menninger's Analyst Perspectives

FEBRUARY 13, 2019

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.

Analytics 172

Analytics Business Intelligence ROI Marketing 172

IBM Big Data Hub

FEBRUARY 14, 2019

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.

Management 84

Management IT 84

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

Marketing

Business Over Broadway

FEBRUARY 4, 2019

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.

Data Science 76

Data Science Machine Learning Technology Analytics 76

Data Science 101

FEBRUARY 28, 2019

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.

Data Science 84

Data Science Deep Learning Interactive IT 84

Domino Data Lab

FEBRUARY 20, 2019

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.

Data Science 76

Data Science Testing Software Uncertainty 76

O'Reilly on Data

FEBRUARY 14, 2019

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.

Deep Learning 122

Deep Learning Machine Learning 122

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

David Menninger's Analyst Perspectives

FEBRUARY 8, 2019

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.

Analytics 170

Analytics Business Intelligence ROI Marketing 170

IBM Big Data Hub

FEBRUARY 4, 2019

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.

Digital Transformation 81

Digital Transformation Analytics 81

DataRobot

FEBRUARY 26, 2019

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.

Machine Learning 75

Machine Learning IT 75

Data Science 101

FEBRUARY 13, 2019

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.

Data Science 78

Data Science Marketing Analytics 78

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

Data-driven

BizAcuity

FEBRUARY 22, 2019

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.

Analytics 75

Analytics Cost-Benefit Finance Sales 75

erwin

FEBRUARY 14, 2019

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.

Digital Transformation 75

Digital Transformation Data Governance Data-driven ROI 75

David Menninger's Analyst Perspectives

FEBRUARY 20, 2019

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.

Business Intelligence 167

Business Intelligence ROI Marketing Analytics 167

IBM Big Data Hub

FEBRUARY 21, 2019

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.

Enterprise 80

Enterprise 80

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

Sales

DataRobot

FEBRUARY 19, 2019

You’ve decided: DataRobot is cool. You saw a demo. Your people tell you they like it. You like the way it makes data scientists more productive. And you love the way it helps you introduce new people to machine learning.

Machine Learning 75

Machine Learning IT Data Science 75

Data Science and Beyond

FEBRUARY 4, 2019

One of the main projects I worked on last year. Recently, Automattic created a Marketing Data team to support marketing efforts with dedicated data capabilities. As we got started, one important question loomed for me and my teammate Demet Dagdelen: What should we data scientists do as part of this team…? Read more on data.

Marketing 69

Marketing 69

Jet Global

FEBRUARY 21, 2019

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.

Business Intelligence 75

Business Intelligence Analytics Data Warehouse Software 75

MLWhiz

FEBRUARY 18, 2019

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.

Machine Learning 74

Machine Learning 74

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