Browsing articles in "Analytics"

#InteropITX – Finding Actionable Insights in Enterprise Data

May 3, 2018   //   by Karen Lopez   //   Analytics, Blog, Cloud, Data  //  No Comments

In the second session of the day, Andi Mann of Splunk talks about taking action with data.

Finding Actionable Insights in Enterprise Data

Speaker: Andi Mann (Chief Technology Advocate, Splunk)

Machine Learning Process: Find data.  Select Models, Apply and Learn, Deploy

 

Andi spoke about all kinds of methods for drawing insights out of data. Machine Learning, data visualizations, video analytics, etc.

Some of his key points:

  • “Where are the problems?”  How data visualization is so important to getting information fast
  • Shared data helps find and fix problems faster
  • How to use data analytics for better application deployment

I think the last one is important: we IT folks and data professionals tend think of rolling out innovative approaches for our business users, but hardly ever invest in these methods for ourselves.

#InteropITX – Data Analytics Panel

May 3, 2018   //   by Karen Lopez   //   Analytics, Blog, Compliance and Regulation, Data  //  No Comments

Today is day one of regular sessions at InteropITX 2018. I’m honoured to be the chair for the Data and Analytics track at this year’s event.

We are starting with a panel of data professionals:

InteropITX Data Analytics Panel

Harmonizing Business and IT: Data as the Driver

Speakers: Donald Farmer (CEO, Treehive Strategy), Danielle Funston (VP, Blueprint), Romi Mahajan (Director, Blueprint), Erick Watson (Chief Product Officer, Quantarium)

Some of the best topics they chatted about.

  • Does our lack of common vocabulary or taxonomy in our organizations hurt us? Is it the reason for the ongoing challenges of Business/IT collaboration?
  • How do we get the business to understand data governance, security and privacy requirements.
  • Do all these compliance and governance requirements mean that small and medium-sized businesses should outsource more of their IT resources?  Should this mean moving to the cloud?
  • GDPR will test whether or not businesses and IT are working together.

Our moderator, Romi Majaran had a question that got right to heart of the “IT/Business Singularity”: When will we solve this problem so that we can stop having to have these panels?

A great question.

#InteropITX – Drowning in IoT Data

May 3, 2018   //   by Karen Lopez   //   Analytics, Blog, Cloud, Data  //  No Comments

Dave McCarthy of Bsquare, is starting our Data track today with a presentation on leveraging analytics on IoT projects.

Automation is essential slide. Lightbulb flowing into 2 paths, one for automated processes and another for Human processes.

Drowning in IoT Data: Why Adaptive Diagnostics is the Difference Between Sinking and Swimming

Speaker: Dave McCarthy (Senior Director, Products, Bsquare)

Dave made these major observations:

  • Automation is essential to supporting the volume of IoT data
  • Edge Computing (processing data at the source before sending it) is essential
  • Adaptive Diagnostics is a data driven way of dealing with errors and alerts. It is more efficient and leads to more accurate repairs.

Out of this presentation, I was most interested in the Adaptive Diagnostics.  I think because this is also the future of IT management. More machine learning and AI in IT management, especially in emergency response scenarios.

Join the live streaming Cloud Field Day 1 #CFD1

Sep 14, 2016   //   by Karen Lopez   //   Analytics, Blog, Cloud, Data, DLBlog, Events, Open Data, Speaking  //  1 Comment

I’m a delegate at the inaugural Cloud Field Day. We’ll be live streaming all the events, including our podcasts today and tomorrow.

Wednesday:

Podcast on Is Data Boring?

Podcast on Is Cloud Tech the solution or is it the Cloud Process?

Podcast on Is DevOps A Load of Crap?

Visit with Cisco

Visit with Druva

Visit with Scality

Visit with Docker

 

Imagining the Power of Data

Mar 12, 2015   //   by Karen Lopez   //   Analytics, Blog, Data, DLBlog  //  No Comments

shareasimage (2)

 

Tim Berners-Lee, in a 2007 Bloomberg Business interview, discusses his vision of enterprise data and how organizations would bring together varied sets of data.

“When you use the word “silos,” that’s the word we hear when somebody in the enterprise talks about the stovepipe problem. Different words for the same problem: that business information inside the company is managed by different sorts of software, and you have to go to a different person and learn a different program to see it. Any enterprise CEO really ought to be able to ask a question that involves connecting data across the organization, be able to run a company effectively, and especially to be able to respond to unexpected events. Most organizations are missing this ability to connect all the data together.

“Anybody making real decisions uses data from many sources, produced by many sorts of organizations, and we’re stymied. We tend to have to use backs of envelopes to do this and people have to put data in spreadsheets, which they painfully prepare. In a way, the Semantic Web is a bit like having all the databases out there as one big database. It’s difficult to imagine the power that you’re going to have when so many different sorts of data are available.”

Regardless of whether or not you are using Semantic technologies, I think you can see that we are making progress towards understanding that silo-ed data is still here and that we need ways to bring the power of external data together to make it useful.  New technologies & approaches such as analytics and machine learning require that we understand the data, its provenance and its freshness to get decent result.

Imagine the power. Indeed.

Data Stories….

Feb 26, 2015   //   by Karen Lopez   //   Analytics, Blog, Data, Data Visualization  //  1 Comment

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I prefer to think of it is trying to decipher the stories data is already saying.  So more listening, less torture.

Data Modeling…Data, Numbers and Bikinis

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My Twitter friend Geoff Crane ( blog | @papercutpm ) made this for me today.  So I’ll just leave it here for you.

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