O'Reilly on Data

NOVEMBER 8, 2018

The O’Reilly Data Show Podcast: Francesca Lazzeri and Jaya Mathew on digital transformation, culture and organization, and the team data science process. In this episode of the Data Show , I spoke with Francesca Lazzeri , an AI and machine learning scientist at Microsoft, and her colleague Jaya Mathew , a senior data scientist at Microsoft. We conducted a couple of surveys this year— “How Companies Are Putting AI to Work Through Deep Learning” and “The State of Machine Learning Adoption in the E

Machine Learning 184

Machine Learning Enterprise Deep Learning Digital Transformation 184

Martha Bennett

NOVEMBER 7, 2018

“The visionaries will forge ahead; those hoping for immediate industry and process transformation will give up.” This was the opening sentence of my blog post accompanying Forrester’s DLT/blockchain predictions for 2018. I’m repeating it here, because it’ll continue to hold true for 2019 — with one proviso: There’s a real risk that we’ll experience the beginning […].

Risk 98

Risk IT Technology 98

IBM Big Data Hub

NOVEMBER 6, 2018

The IBM-MongoDB partnership continues to go like gangbusters. Announced in June 2018, our first version of MongoDB Enterprise Advanced is now giving way to our second version.

Enterprise 76

Enterprise 76

Bruno Aziza

NOVEMBER 4, 2018

How one firm is leveraging data and analytics to address catastrophic events.

Risk 97

Risk Analytics Big Data 97

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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

Cloudera

NOVEMBER 5, 2018

Corporate volunteering is on the rise. However, only half of companies encourage their employees to participate in skills-based volunteering – defined as employees applying their abilities and specialized talents to challenges facing their communities. As the Program Manager for Cloudera Cares, Cloudera’s employee giving and volunteering program at the Cloudera Foundation, I believe that we can have more impact if we offer employees opportunities for skills-based volunteering.

Strategy 44

Strategy Finance Interactive Technology 44

Martha Bennett

NOVEMBER 7, 2018

“The visionaries will forge ahead; those hoping for immediate industry and process transformation will give up.” This was the opening sentence of my blog post accompanying Forrester’s DLT/blockchain predictions for 2018. I’m repeating it here, because it’ll continue to hold true for 2019 — with one proviso: There’s a real risk that we’ll experience the beginning […].

Risk 52

Risk IT Technology 52

Hurwitz & Associates

NOVEMBER 6, 2018

By Jean S. Bozman. IBM sees Red Hat as a catalyst, a company that will fuel faster IBM revenue growth in hybrid cloud – and contribute to IBM’s overall top-line revenue. As a Red Hat business partner, IBM already had access to Red Hat technologies; Red Hat Enterprise Linux (RHEL), OpenShift containers, JBoss middleware and Kubernetes orchestration tools.

Sales 40

Sales Software Marketing Optimization 40

Smarten

NOVEMBER 5, 2018

This video has a presentation on how one can use data from multiple systems across the organisation along with data from external sources to run predictive analytics using Assisted Predictive Modeling. The video has a complete presentation which is followed by a demonstration. Each of these videos is available independently. You can find other educational resources by browsing our Augmented Analytics Videos and Augmented Analytics Learning pages.

Predictive Modeling 40

Predictive Modeling Modeling Predictive Analytics Analytics 40

Nutanix

NOVEMBER 8, 2018

Today we proudly announced the availability of Xi Leap, a Disaster Recovery (DR) service delivered from Xi Cloud.

20

20

IBM Big Data Hub

NOVEMBER 5, 2018

Machine learning has the potential to make the lives of marketers easier, but few marketing teams currently have the in-house data science skills they need to take advantage of it.

Data Science 72

Data Science Marketing Machine Learning IT 72

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

Cloudera

NOVEMBER 9, 2018

By Mark Micallef, Vice President of Asia Pacific and Japan , Cloudera. What comes to your mind when you think of the term “smart city”? For me, it conjures an image of a city where everything is interconnected, enabling it to run efficiently and offer convenient, secure, and personalized services to its residents at the touch of their fingertips. While such a city might sound like a utopian dream, it could potentially turn into a dystopian nightmare if we overlook the risks brought about by the

IoT 56

IoT Machine Learning Internet of Things Data Collection 56

Smarten

NOVEMBER 6, 2018

This video looks at a scenario where data on workforce comprising of education, years with the organisation, number of wholesale stockiest managed by the individual, CAGR in sales for individual and value of sales is analysed to determine which factor impacts the sales and to what extent. This would allow an organisation to plan a workforce strategy for sales development.

Sales 40

Sales Predictive Modeling Modeling Strategy 40

IBM Big Data Hub

NOVEMBER 7, 2018

SURF is a Dutch software platform provider that delivers consistent and dependable access to technology to students and researchers.

Software 65

Software Technology 65

Smarten

NOVEMBER 6, 2018

This video demonstrated Self-Service Data Preparation and Assisted predictive modeling using practical data which combines data from within the organisation and data from external sources to make effective prediction and analysis. This video focuses on consumer products used in the building industry. You can find other educational resources by browsing our Augmented Analytics Videos and Augmented Analytics Learning pages.

Predictive Modeling 40

Predictive Modeling Sales Modeling Analytics 40

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

Smarten

NOVEMBER 6, 2018

This is a video of a presentation which outlines how a predictive analytics model can be set up for the sales department of a consumer product company. You can find other educational resources by browsing our Augmented Analytics Videos and Augmented Analytics Learning pages.

Predictive Modeling 40

Predictive Modeling Modeling Predictive Analytics Sales 40

IBM Big Data Hub

NOVEMBER 8, 2018

Data catalogs help to herd tribal knowledge and manage all the different data assets across an organization, providing a simple, convenient way to find, access and democratize data.

Analytics 75

Analytics Management 75