Showing posts with label MICROSOFT. Show all posts
Showing posts with label MICROSOFT. Show all posts

Monday, 1 November 2021

WEBINAR: Gain Insights from SAP Data with Qlik and Microsoft - 8 November 2021

 

Sponsored News from Data Science Central

 

Webinar: Gain Insights from SAP Data with Qlik and Microsoft

Enterprises are inundated with massive amounts of SAP data and challenged to create more consumable insights without increasing headcount or system resources.

It is a daunting task to deal with slow systems and manual coding to gain any value from historical data spanning thousands of products, customers, sales history, and the list goes on.

In this webinar, you’ll hear how global manufacturer Greene Tweed developed an efficient, cost-effective, and logical strategy to connect Qlik Data integration and Microsoft Azure Synapse to build an intelligent supply chain for better business insight.

Learn how Greene Tweed addressed their challenges and how they use data liberated from SAP for strategic analytics initiatives. In addition, you will discover:

  • How to create a plan of attack to extract insights from massive amounts of SAP data
  • How important change data capture is to building low latency extracts for massive data volumes
  • Why automation with Qlik Data Integration is crucial to expedite data availability
  • How SAP data drives insights to optimize Manufacturing & Supply Chain
  • The gains Greene Tweed realized by moving SAP data to Azure Synapse


Speakers:
Matt Hayes, VP of SAP Business, Qlik
David Hufnagle, Manager, Enterprise Data and Analytics, Greene Tweed
Greg Vigil, Industry Solution Director – Manufacturing, Microsoft


Hope to see you there,
Sean Welch
Data Science Central

Qlik

Thursday, 21 October 2021

WEBINAR: Gain Insights from SAP Data with Qlik and Microsoft - 28 October 2021

 

Sponsored News from Data Science Central

Qlik Logo

Webinar: Gain Insights from SAP Data with Qlik and Microsoft
What: free online webinar exclusively for IT Pros
When: Thursday, October 28th, 9 AM PST / 12 PM EST
Where: From the convenience of your personal computer 

Register Now

In this latest Data Science Central Webinar, you’ll hear how global manufacturer Greene Tweed developed an efficient, cost-effective, and logical strategy to connect Qlik Data integration and Microsoft Azure Synapse to build an intelligent supply chain for better business insight.

Learn how Greene Tweed addressed their challenges and how they use data liberated from SAP for strategic analytics initiatives. In addition, you will discover:

  • How to create a plan of attack to extract insights from massive amounts of SAP data
  • How important change data capture is to building low latency extracts for massive data volumes
  • Why automation with Qlik Data Integration is crucial to expedite data availability
  • How SAP data drives insights to optimize Manufacturing & Supply Chain
  • The gains Greene Tweed realized by moving SAP data to Azure Synapse

Register today to start your journey to improving data operations, accelerating reporting, reducing systems overhead and enabling AI operations with Qlik and Azure Synapse.

Speakers:
Matt Hayes, VP of SAP Business, Qlik
David Hufnagle, Manager, Enterprise Data and Analytics, Greene Tweed
Greg Vigil, Industry Solution Director – Manufacturing, Microsoft

Wednesday, 14 October 2020

Microsoft And Shell Announce New Partnership To Use Artificial Intelligence And Tech To Reduce Carbon Emissions by @BernardMarr via @forbes

 Tackling carbon emissions is one of the biggest challenges faced by the world today. For big business, this means making a strategic and managed move towards increasing the use of renewable energy sources, as well as creating efficiencies across all aspects of their operations.

This is a great initiative and I wish them every success.  As expected a great article from Bernard.

Wednesday, 30 October 2019

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.

Wednesday, 3 July 2019

Microsoft will fix your sexist PowerPoint presentations with AI by Mark Wilson via @FastCompany

Microsoft PowerPoint’s new AI tool, Presenter Coach, lets you practice your presentation in front of an AI. Along the way, it will offer helpful suggestions like: “avoid reading the slides,” “don’t use so many filler words,” or pointing out when you’ve unnecessarily gendered your pronouns—“that could be culturally sensitive in some cases.”

This is a great use of AI and a great help to anyone working on a presentation (and if we are honest we all get nervous before giving one).

Friday, 7 June 2019

Microsoft wants to apply AI ‘to the entire application developer lifecycle by @EPRO’ via @VentureBeat

“If you look at the entire application development lifecycle, from code review to testing to continuous integration, and so on, there are opportunities at every single stage for machine learning to help,” says Amanda Silver, a director of Microsoft’s Developer Division.

Wow - this sounds amazing and I can't wait for it to mature and come into its own.

Thursday, 5 October 2017

Manchester Mayor to work with Microsoft to boost digital skills in youngsters via @MicrosoftUK

Manchester Mayor Andy Burnham wants to work with Microsoft to boost digital skills in youngsters.

A great use of new technology and something that could produce good results for us all. Well done Microsoft.

Friday, 28 July 2017

Microsoft Creates New AI Lab to Take on Google's DeepMind by Jeremy Kahn via @technology

The new Microsoft Research AI lab will employ more than 100 scientists from sub-fields of AI research, including perception, learning, reasoning, and natural language processing. Its goal is to create more general-purpose learning systems.

They must think there is a market and money to be made.  I think it will be good for Google and the market if there is some competition.