Sat.Nov 03, 2018 - Fri.Nov 09, 2018

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Lessons learned while helping enterprises adopt machine learning

O'Reilly on Data

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

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Predictions 2019: Steady Evolution In Blockchain Will Continue, Unless Disillusionment Causes A “Winter”

Martha Bennett

“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
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Munich Re: How Data and AI Reduce Risk from Global Calamities

Bruno Aziza

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

Risk 97
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How to build with IBM and MongoDB Enterprise Document Store

IBM Big Data Hub

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.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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Five strategies for skills-based volunteering: Lessons learned from Cloudera Cares first-ever Global Day of Service

Cloudera

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.

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Predictions 2019: Steady Evolution In Blockchain Will Continue, Unless Disillusionment Causes A “Winter”

Martha Bennett

“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

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Get an IBM data science professional certificate on Coursera

IBM Big Data Hub

The swelling demand for data scientists coupled with the evident skills gap has implications for the global economy as well as the tech industry. What’s causing it, and what can be done to address it?

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Why Is IBM Acquiring Red Hat?

Hurwitz & Associates

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.

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Xi Leap – The First No-Install DR

Nutanix

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

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Smarten’s Assisted Predictive Modeling factors impacting sales

Smarten

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.

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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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Revelwood helps marketers hit the bullseye with cloud-based data science

IBM Big Data Hub

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.

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Making smart cities safer with data

Cloudera

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 61
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SURF and IBM contribute to Dutch knowledge economy

IBM Big Data Hub

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

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Using Smarten’s Assisted Predictive Modeling in the FMCG industry

Smarten

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.

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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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Smarten’s Assisted Predictive Modeling in Consumer Product Industry

Smarten

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.

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How data cataloging helps analytics cultures evolve

IBM Big Data Hub

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.