IBM Big Data Hub

FEBRUARY 23, 2018

Machine learning has joined artificial intelligence (AI) as the hottest technology topics of 2018. We asked our expert influencers to share their thoughts on the state of the industry: where it's going, and how and why companies should be adopting machine learning and AI.

Machine Learning 80

Machine Learning Technology IT 80

Perceptual Edge

FEBRUARY 19, 2018

I am often asked a version of the following question: “What data visualization product do you recommend?” My response is always the same: “That depends on what you do with data.” Tools differ significantly in their intentions, strengths, and weaknesses. No one tool does everything well. Truth be told, most tools do relatively little well. I’m always taken by surprise when the folks who ask me for a recommendation fail to understand that I can’t recommend a tool without first understanding what t

Statistics 60

Statistics Dashboards Reporting Sales 60

Hurwitz & Associates

FEBRUARY 20, 2018

I few months have past since I attended my first Amazon re:Invent conference. I have had some time to reflect on my observations about the meeting. It was indeed an impressive event with a massive number of sessions and an electricity that was palpable. What stood out was the homogeneity of the attendees who were largely young (primarily male) developers.

IT 56

IT Machine Learning Experimentation Enterprise 56

Juice Analytics

FEBRUARY 21, 2018

It’s a predicament that we’ve seen many times over: your data is stuck. You’ve tried some reporting through some Excel pivot tables, or you’ve messed around with a Tableau trial, but felt like there wasn’t enough engaging content to get your users excited. Rationalizing why you can’t get your data to be impactful for your business, you think things like, “maybe my users are talking about the data but I just don’t know about it” or “maybe the data isn’t structured in a way that allows for valuabl

Metadata 53

Metadata Metrics Data Collection Reporting 53

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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IBM Big Data Hub

FEBRUARY 22, 2018

Machine learning is being used at the heart of next- generation methods for self-driving cars, facial recognition, fraud detection and much more. At IBM, we’re applying machine learning methods to SQL processing so databases can literally learn from experience.

Machine Learning 75

Machine Learning 75

Perceptual Edge

FEBRUARY 23, 2018

My new book, Big Data, Big Dupe , was published early this month. Since its publication, several readers have expressed their gratitude in emails. As you can imagine, this is both heartwarming and affirming. Big Data, Big Dupe confirms what these seasoned data professionals recognized long ago on their own, and in some cases have been arguing for years.

Big Data 59

Big Data Reporting Marketing Business Intelligence 59

Smarten

FEBRUARY 23, 2018

Today, enterprises recognize the critical value of advanced analytics within the organization and they are implementing data democratization initiatives. As these initiatives evolve, new roles emerge in the organization. The newest of these analysis-related roles is the ‘ analytics translator ‘ As the enterprise considers the relevance of this new role within the business, it is important to understand the responsibilities of an Analytics Translator, and how this role might help the

Analytics 40

Analytics Business Intelligence Predictive Analytics ROI 40

IBM Big Data Hub

FEBRUARY 20, 2018

Getting the most from a data science agenda requires more than data scientists. At Think, you’ll learn to view data science as a team sport, involving multiple roles and appropriate tools that help organizations tap into the benefits data science can bring wherever the business opportunity is.

Data Science 64

Data Science 64

IBM Big Data Hub

FEBRUARY 19, 2018

Your business and your data are both unique. For that reason, your enterprise architecture must also be tailored to fit the exact needs of your business. When data is involved, you want choices, not trade offs. And, more importantly, you want your solutions to build upon and complement one another.

Enterprise 58

Enterprise 58

IBM Big Data Hub

FEBRUARY 22, 2018

Almost any kind of finance and operational performance management (FOPM) professional, from VPs of finance to analysts and others, can learn a lot at Think 2018.

Finance 54

Finance Management 54

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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