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 83

Machine Learning Technology IT 83

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

Cloudera

FEBRUARY 19, 2018

Running a large company is impossible without having an ERP system in place, and SAP business software remains at the forefront in this category. But when companies are looking towards new technologies such as data lakes, machine learning or predictive analytics, SAP alone is just not enough. To keep up with tech trends, businesses have to face the challenges of integrating SAP with non-SAP technologies and embark on a crusade against data silos.

Data Lake 46

Data Lake Finance Data Governance Big Data 46

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

Advertisement

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Visualization

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 79

Machine Learning 79

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 68

Data Science 68

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 62

Enterprise 62

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 57

Finance Management 57

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Management