Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI, IBM Watson by Olexander Kolisnykov via @topbots

The article will guide you through the best MLaaS platforms on the market and lists some infrastructural decisions to be made and some important considerations to keep in mind when choosing an MLaaS platform.

This has so much detail and is very very useful. This is worth a bookmark and if the platform allows applause of full cudos to the author Olexander.

SLIDESHOW: 5 technologies that will reshape business and society by David Weldon via @InfoMgmt

Within the next five years, blockchain, AI, lattice cryptography and quantum computing will revolutionise software development and its impact, says IBM Research’s global labs.

There are some really exciting developments in this slideshow - I'm particularly looking forward to lattice cryptography.

Incorporating weather data into IoT is a game changer by:Franklin Morris via @IBMIoT

Weather has long been a source of headaches for businesses across all industries.

This is a hugely beneficial development and I can imagine countless examples where weather data would have made a difference. As I write this comment in the UK we have snow, ice and low temperatures. If this could be predicted from  a weather forecast it would have a huge number of benefits.

That IBM blockchain? Northern Trust says it works by @pennycrosman via @infomgmt

Big Blue formally launched the platform Tuesday, but the custody bank has been using it for months, as has a group of Canadian institutions.

This is another great advance in the use of blockchain and definitely the way forward.

WEBINAR: Level Up Your Data Science Team - 20 June 2017

Overview

Title: Level Up Your Data Science Team

Date: Tuesday, June 20, 2017

Time: 09:00 AM Pacific Daylight Time

Duration: 1 hour

Summary

Level Up Your Data Science Team

Tired of the lone wolf data scientist myth? Figured out that data science pulls people and expertise from multiple domains? Want to learn more about how to pull data science teams together to solve tough data challenges and explore the possibilities of machine learning? Join this Data Science Central webinar, “Manage Data Science in the Enterprise: Level Up Your Data Science Team" and learn data science best practices, tools, and techniques to increase collaboration and productivity. 

Speakers:

Carlo Appugliese, Big Data and Data Science Evangelist -- IBM Analytics, Watson and Cloud Platform
Alex Jones, IBM Offering Manager, Data Science Experience Local -- IBM Analytics, Watson Data Platform

Hosted by: 

Bill Vorhies, Editorial Director -- Data Science Central

 

  
Data Science Central, IBM and its affiliates may use the provided contact information to keep you informed on related topics, products and services

Register here

IBM Machine Learning brings Spark to the mainframe by @andrewbrust via @ZDNet

IBM has announced support for machine learning on Z-series mainframes. If a lot of your transactional processing is still happening on a mainframe and you want to build predictive models on their data it's definitely worth a look.

This is great news and I think can deliver big results for IBM and their customers.