Data Driven

While at the Microsoft Inspire conference today in DC, Frank catches up with Brian Moran to talk new convention names and the Democratization of Data Analytics.

Today, Frank is in DC at the Microsoft Inspire conference, which used to be called the Worldwide Partner Conference. It's where Microsoft gathers partners from around the world and share what their vision and priorities are for the upcoming year.

There are a lot of interesting people in town and it's our plan to get them on the show, even if for just a quick Data Point.

On this week's Data Driven, Frank and Andy are honored to have Kamal Hathi on the show.  Kamal Hathi is a General Manager at Microsoft.  As the co-founder of Microsoft's multi-billion dollar Analytics and Business Intelligence products, today Kamal leads the team that is responsible for the end-to-end strategy, design and engineering of Power BI.  The data analytics and visualization technology delivers an innovative platform, tools and cloud service that helps organizations worldwide easily build and deploy robust interactive data visualization and business intelligence solutions at all scales with low total cost of ownership.

Notable Quotes:

"We've [Microsoft] been in this space for a while .. two decades" (7:02)

"BI for the Masses" (7:24)

The "5 by 5" design ethic of PowerBI   (8:36)

"PowerBI growing organically like crazy."  (9:22)

"An organic community that loves the product" (9:43)

Excel jockeys run the world. (11:01)

"PowerBI is the PowerPoint for Data" (12:10)

"Excel is a universal tool and PowerBI works very closely with Excel" (13:40)

"A number of capabilities that no other tool has" (14:53)

"PowerBI was built in a modern age, so it's a modern tool" (15:33)

Frank "fan boys out" at PowerBI's awesomeness. (16:30)

Using Cortana and not realizing your using PowerBI (16:50)

Leveraging Microsoft Research's brainpower and innovations  (18:10)

"And then the AI kicks in and finds all kinds of interesting suggestions." (19:24)

Detecting "ballot stuffing" in User Voice with PowerBI. (19:47)

"Assistive Intelligence" (20:48)

Virtuous cycle of customer feedback and iterative development (23:59)

Experimental features (27:27)

"We are Data Driven" (27:57)

Impacting the world with PowerBI (29:34)

News organizations, charities, NGOs, and local governments using PowerBI (32:11)

Karate (35:58)

Thinking in German (40:00)

 

Microsoft Professional Program for Data Science https://academy.microsoft.com/en-us/professional-program/data-science/ @gp_pulipaka Flow Clustering Using Machine Learning Techniques. #BigData #MachineLearning #DataScience #AI #Networks http://buff.ly/2toO8gQ @evankirstel The “#DataScience Arms Race” Has Begun by @crystalkimmm on @BarronsOnline http://www.barrons.com/articles/the-data-science-arms-race-has-begun-1499353043 … #BigData @ipfconline1 #DeepLearning – A Non-Technical Introduction. http://buff.ly/2gcFFHV  [via @gp_pulipaka] #BigData #DL #MachineLearning #DataScience #AI @Ronald_vanLoon 10 Free Must-Read Books for Machine…

Microsoft Professional Program for Data Science https://academy.microsoft.com/en-us/professional-program/data-science/

@gp_pulipaka Flow Clustering Using Machine Learning Techniques. #BigData #MachineLearning #DataScience #AI #Networks http://buff.ly/2toO8gQ

@evankirstel The “#DataScience Arms Race” Has Begun by @crystalkimmm on @BarronsOnline http://www.barrons.com/articles/the-data-science-arms-race-has-begun-1499353043 … #BigData

@ipfconline1 #DeepLearning - A Non-Technical Introduction. http://buff.ly/2gcFFHV  [via @gp_pulipaka] #BigData #DL #MachineLearning #DataScience #AI

@Ronald_vanLoon 10 Free Must-Read Books for Machine Learning and Data Science | #DataScience #MachineLearning #RT http://bit.ly/2pVGjPc

@subhashishpaul #AI Can Now Produce Better Art Than Humans. Here's How. - http://klou.tt/eseixesbk1ry  #ArtificialIntelligence

Job Automation Won't Look Like We Think It Will by @andyleonard http://datadriven.tv/datapoint-ai-automation-jobs/

In a parking lot in Baltimore, Andy pauses and reflects on what automation will look like vs. the Hollywood vision of it.  The robots that will take jobs away will not look anything like we are expecting.

In a parking lot in Baltimore, Andy pauses and reflects on what automation will look like vs. the Hollywood vision of it.  The robots that will take jobs away will not look anything like we are expecting.

Data Science Daily Story Links @gp_pulipaka Training AI To Spot Lung Cancer. #BigData #MachineLearning #DataScience #AI #HealthTech #Cancer http://buff.ly/2toVgtD @kdnuggets Inference Made Simple – Applying the reasoning power of GRAKN.AI to find new #knowledge about the world http://buff.ly/2toYeOQ  #DataScience @jenstirrup @makeurdatawork Nice summary of #DeepLearning and #MachineLearning: http://dld.bz/fTqqh  #BigData #DataScience pic.twitter.com/R6UOVFA6Zb via @kirkdborne @DeborahTannon #DataScience…

Data Science Daily Story Links

@gp_pulipaka Training AI To Spot Lung Cancer. #BigData #MachineLearning #DataScience #AI #HealthTech #Cancer http://buff.ly/2toVgtD

@kdnuggets Inference Made Simple – Applying the reasoning power of GRAKN.AI to find new #knowledge about the world http://buff.ly/2toYeOQ  #DataScience

@jenstirrup @makeurdatawork Nice summary of #DeepLearning and #MachineLearning: http://dld.bz/fTqqh  #BigData #DataScience pic.twitter.com/R6UOVFA6Zb via @kirkdborne

@DeborahTannon #DataScience — The Best Approach to Decision Making Combines Data and Managers’ Expertise : http://ift.tt/2tpviXe

@DataLiterati Wow. Each day you drive an #autonomous car (assuming 1hr/day), it generates 4TB. #bigdata #datascience #sensors #iot http://www.networkworld.com/article/3147892/internet/one-autonomous-car-will-use-4000-gb-of-dataday.html

Data Science Daily Show Notes @gp_pulipaka A #MachineLearning project: Cure 100 diseases in 10 years. #BigData #DataScience #AI #HealthTech @RecursionPharma http://buff.ly/2tPCGvo @gp_pulipaka From Automatons to Deep Learning. #BigData #DeepLearning #MachineLearning #DataScience #AI http://buff.ly/2sPSJp5 @kdnuggetsWhat do AB tests actually measure? https://medium.com/@akelleh/what-do-ab-tests-actually-measure-e89ebd63a73e @dataiku [Infographic] Metrics and methodologies to figure out if your #machinelearning model sucks. #datascience http://hubs.ly/H07QzCc0 …