Sat.Jan 26, 2019 - Fri.Feb 01, 2019

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Analytics and Business Intelligence for a Data-Driven World

David Menninger's Analyst Perspectives

Ventana Research provides unique insight into the analytics and business intelligence (BI) industry. This is important, as its processes and technology play an instrumental role in enabling an organization’s business units and IT to utilize its data in both tactical and strategic ways to perform optimally. To accomplish this, organizations must provide technology that can access the data, generate and apply insights from analytics, communicate the results and support collaboration as needed.

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How companies are building sustainable AI and ML initiatives

O'Reilly on Data

A recent survey investigated how companies are approaching their AI and ML practices, and measured the sophistication of their efforts. In 2017, we published “ How Companies Are Putting AI to Work Through Deep Learning ,” a report based on a survey we ran aiming to help leaders better understand how organizations are applying AI through deep learning.

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Machine Learning Data Prep Tips for Time Series Models

DataRobot Blog

by Jen Underwood. In my previous articles Predictive Model Data Prep: An Art and Science and Data Prep Essentials for Automated Machine Learning, I shared foundational data preparation tips to help you successfully. Read More.

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Most Popular Machine Learning Frameworks and Products Used by Data Professionals

Business Over Broadway

A recent survey revealed that 84% of data pros have used at least one ML framework in the last 5 years while 51% of data pros have used at least one ML product in the last 5 years. The most popular ML frameworks include Scikit-Learn, Tensorflow and Keras. The most popular ML products include SAS, Cloudera and Azure. Figure 1. Machine Learning Frameworks used in last 5 years.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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Open Data Science and Machine Learning for Business with Cloudera Data Science Workbench on HDP

Cloudera

It’s official – Cloudera and Hortonworks have merged , and today I’m excited to announce the availability of Cloudera Data Science Workbench (CDSW) for Hortonworks Data Platform (HDP). Trusted by large data science teams across hundreds of enterprises —. Western Union and IQVIA to name just a couple — CDSW is now also ready to help Hortonworks customers accelerate the delivery of new data products through secure, collaborative data science at scale.

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Using machine learning and analytics to attract and retain employees

O'Reilly on Data

The O’Reilly Data Show Podcast: Maryam Jahanshahi on building tools to help improve efficiency and fairness in how companies recruit. In this episode of the Data Show , I spoke with Maryam Jahanshahi , research scientist at TapRecruit, a startup that uses machine learning and analytics to help companies recruit more effectively. In an upcoming survey, we found that a “skills gap” or “lack of skilled people” was one of the main bottlenecks holding back adoption of AI technologies.

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4 things to consider when setting your fast data strategy

IBM Big Data Hub

In the study, the definition of fast data starts with the technical characteristics mentioned in our last article, but there’s more to that definition.

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When Data Warehousing Met the Events Industry

BizAcuity

Welcome to the smart age. Technology has spread its roots to almost all realms of business, so much so that ‘smart’ has become today’s norm. That’s a great deal of progress, yes. But it doesn’t mean technology has done everything there is that can be done. Sitting behind our desks, tapping away on our keyboards, we’re constantly on the pursuit to push technology; pick it up and put it a new scenario and see what we can achieve.

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Rethinking informed consent

O'Reilly on Data

Consent is the first step toward the ethical use of data, but it's not the last. Informed consent is part of the bedrock of data ethics. DJ Patil, Hilary Mason, and I have written about it , as have many others. It's rightfully part of every code of data ethics I've seen. But I have to admit misgivings—not so much about the need for consent, but about what it means.

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Google’s Record GDPR Fine: Avoiding This Fate with Data Governance

erwin

The General Data Protection Regulation (GDPR) made its first real impact as Google’s record GDPR fine dominated news cycles. Historically, fines had peaked at six figures with the U.K.’s Information Commissioner’s Office (ICO) fines of 500,000 pounds ($650,000 USD) against both Facebook and Equifax for their data protection breaches. Experts predicted an uptick in GDPR enforcement in 2019, and Google’s recent record GDPR fine has brought that to fruition.

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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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4 ways to monetize data using IBM Cloud Private for Data

IBM Big Data Hub

IBM Cloud Private for Data is a data and analytics platform that provides that cohesive ecosystem to accelerate data monetization to impact your bottom line without the data leaving your organization.

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VR Data Visualization: More Natural Interactions with Data

The Data Visualisation Catalogue

While researching on the Buzz Surrounding VR Data Visualization , I found the most common claim being made was that VR allows for more “Natural” interactions with the data. Initially, I thought to myself, how could virtual reality actually make things seem more natural? The fact that it’s called VIRTUAL reality already implies that it’s something unreal and not connected to the natural, physical world.

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Machine Learning Integration Options

Paul DeBeasi

Machine learning projects are inherently different from traditional IT projects in that they are significantly more heuristic and experimental, requiring skills spanning multiple domains, including statistical analysis, data analysis and application development. Most organizations have defined the process to build, train and test machine learning models.

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Five Challenges to Building Models with Relational Data

Teradata

Ben MacKenzie reflects on some of the unique challenges to building models with relational data.

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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Prepare your data management architecture for machine learning at THINK

IBM Big Data Hub

One of the best parts of Think is hearing details of successful implementations of hybrid data management solutions and machine learning directly from peers across a variety of industries.

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What does 'Bandersnatch' teach us about data storytelling?

Juice Analytics

“TV of tomorrow is now here.” So says The Guardian. The TV show that brought us into the future is Bandersnatch , the recently released interactive television show from the Black Mirror anthology. Bandersnatch is sort of modern reincarnation of the Choose Your Own Adventure books of your childhood. Some reviewers raved about the new experience: "This is what Bandersnatch gave me that no other movie had ever been able to.

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Automated Sales Forecasting with Predictive Analytics Making AI Real (Part 4)

Jedox

In today’s organizations, the role of financial controlling or FP&A is not only to provide financial insights so business partners can make better decisions, but it is also to lead the way towards a more mature use of analytics technology including predictive analytics for sales forecasting. Predictive Analytics – a Priority for FP&A. Moving up the analytics maturity curve from merely describing and reporting the past to gaining real insight and foresight into the future is a near-

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How to Fill Your AI Talent Gap

Teradata

Atif Kureishy explores how to fill the artificial intelligence skills gap.

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Marketing Operations in 2025: A New Framework for Success

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.

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Measuring the value of Watson Studio and Watson Knowledge Catalog

IBM Big Data Hub

IBM commissioned Forrester Consulting to conduct a Total Economic Impact (TEI) study to examine the value of an investment in IBM Watson Studio and Watson Knowledge Catalog.

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Is Advanced Analytics the Next Logical Step Beyond Self-Serve Business Intelligence?

Smarten

Many organizations have grown comfortable with their business intelligence solution, and find it difficult to justify the need for advanced analytics. The advantages of advanced analytics are numerous and those advantages are based on the ability to further improve the business, increase user adoption (and therefore user empowerment and accountability) and, best of all, improve the bottom line and the accuracy of predictions and forecasts that will dictate the success of the business in the futu

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How Much Time Could Your Company Save If You Said Goodbye to Data Migration?

Data Virtualization

In this article, I will discuss the complexity of data migration when transitioning to a new system, based on the traditional ways of working. I will explain why data virtualization can play a role in taking away this complexity, for. The post How Much Time Could Your Company Save If You Said Goodbye to Data Migration? appeared first on Data Virtualization and Modern Data Management.

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Five Challenges to Building Models with Relational Data

Teradata

Ben MacKenzie reflects on some of the unique challenges to building models with relational data.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Hybrid Cloud vs Multi-Cloud: What’s the Difference?

Nutanix

The arrival of cloud computing to enterprise IT brought much more than new business value and end-user utility. Most notably, confusion. An entirely new set of terms was created to describe the many varieties of virtual data storage and transmission.

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Three observations on the B word

Mark Raskino

Just a quick reminder – what follows is one senior analyst sharing some thoughts. It is not a Gartner position. Blogs are un-reviewed personal writings, not published research. In my job as a Gartner analyst I do a lot of international travel. Then I come home to the United Kingdom of Great Britain and her dominions… or as I sometimes jest with colleagues and clients – “the disunited kingdom of great brexit and her dumb opinions”.

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Augmented Analytics Learning for All Users!

Smarten

Can Augmented Analytics Tools Improve Business User Analytics Adoption? When a business commits to data democratization and to improving data literacy, it must add advanced analytics tools that will support these initiatives. The education of business users is crucial if these projects are to be successful, but no business has the time or the money to schedule intensive training.

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Citizen Data Scientists Can Leverage Business Analytics!

Smarten

Citizen Data Scientists Improve Productivity and Innovation in the Enterprise! A business that does not optimize its resources is doomed to fail. In this rapidly changing business environment and market, every organization must make the best of precious human resources. No one has enough funding to hire additional resources to get the job done and, when there are extra funds, those funds are quickly earmarked for new products, marketing and other crucial activities.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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.