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Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract

Making Data Simple Podcast is hosted by Al Martin, VP, IBM Expert Services Delivery, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

This week on Making Data Simple, we have Wennie Allen Business Director, Data Science and AI Elite Team and Carlo Appugliese Program Director – Data &AI, Data Science Elite Team. This week we talk about agile AI and remote data science. Carlo discusses his book, while Wennie talks about the secret sauce.

Show Notes
2:56 – How do we get people to adopt AI?

4:49 – Carlo’s book

6:15 – Why do we call it agile AI?

11:12 – Six weeks to get it done!

15:07 – Where are we at with AI?

16:54 - Problems with AI today

22:05 – Secret sauce

26:31 - Process and methodology 

30:22 – Talk data

34:19 – Integration, trust, and quick deployment

36:10 – Working remote

39:40 – How do you engage?

Remote Data Science Website: http://ibm.biz/RemoteDataScience
Agile AI Blog: http://ibm.biz/DSE-AgileAI-Blog
Agile AI Book:   http://ibm.biz/DSE-AgileAI
Community: http://ibm.biz/DSE-Community
Chat with the Lab: http://ibm.biz/DSE-ChatWithTheLab
Consultation: http://ibm.biz/DSE-Consultation

Blogs:
 Virtual Data Science can rise to the challenge in unprecedented times by Wennie Allen
Data Science and AI from anywhere... by Carlo Appugliese

Wennie on LinkedIn linkedin.com/in/wennie-allen
Carlo on LinkedIn linkedin.com/in/carloappugliese

Connect with the Team
Producer Kate Brown - LinkedIn.
Producer Steve Templeton - LinkedIn.
Host Al Martin - LinkedIn and Twitter. 

Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text

Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract

Making Data Simple Podcast is hosted by Al Martin, VP, IBM Expert Services Delivery, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

This week on Making Data Simple, we have Yonatan Geifman, CEO & Co-founder of DECI.ai. We provide a proprietary optimization technology for deep learning practitioners that complements other techniques like pruning, quantization and NAS, enabling you to accelerate deep neural network inference on any hardware while preserving accuracy.

Show Notes
1:28 – Yonatan’s experience

4:19 – What did you see in the market that didn’t exist today? 

9:30 – How does the process begin?

11:57 – Does it sync in the cloud?

14:50 – What is it that you can’t find in the market?

20:13 – What is the most common hardware?

22:55 – What are your thoughts on bias?

26:08 – What is your definition for AI to be practical?

31:35 – What do you do when the data is not ready?

DECI

Connect with the Team
Producer Kate Brown - LinkedIn.
Producer Steve Templeton - LinkedIn.
Host Al Martin - LinkedIn and Twitter. 

Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text

Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract
Making Data Simple Podcast is hosted by Al Martin, VP, IBM Expert Services Delivery, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

This week on Making Data Simple, we have Slater Victoroff the founder and CTO at Indico, an enterprise AI solution for unstructured content with a focus on document understanding and process automation. 

Slater builds machine learning solutions for start-ups, governments, and Fortune 100 companies for the past 7 years. 

Indico’s framework requires 1000x less data than traditional machine learning techniques.

Show Notes
1:34 – Why did you go from CEO to CTO?

3:51 – What are you pitching to me?

10:55 – What use cases is Indico involved with?

13:23 – What industries do you cross?

18:06 – Is there any cleansing of data?

23:12 – How long does it take?

27:20 – How is the data maintained?

28:14 – What’s the business model?

35:13 – What’s the #1 problem that prevents companies from adapting this technology?

38:59 – What can clients expect?

43:16 – What have you learned about leadership? 

 Slater Victoroff email: slater.website
Indico 

Connect with the Team
Producer Kate Brown - LinkedIn.
Producer Steve Templeton - LinkedIn.
Host Al Martin - LinkedIn and Twitter. 

Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text

Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract

Making Data Simple Podcast is hosted by Al Martin, VP, IBM Expert Services Delivery, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

This week on Making Data Simple, we have Nick Amabile. Nick is the CEO is DAS42, a US data analytics consulting firm that helps companies make better decisions, faster. Founded in 2015, DAS42 is comprised of data analysts, scientists, business professionals, and engineers who provide end-to-end data services —including data strategy, tech stack integrations, application implementation, and enterprise analytics training. Nick’s philosophy is centered around the two components critical to achieving data-driven success: building an effective data analytics environment and building a data-centric company culture.

Show Notes
2:15 – Nick’s history

4:22 – DAS42

8:52 – Is your brand consulting?

11:07 – What do you do different?

14:39 – What’s important about consulting?

18:25 – Is managed services cost effective?

21:18 – What still surprises you?

25:32 – What metrics do you look at?

28:11 – How has the pandemic affected you?

32:28 – Why venture capital fund?

34:49 – What are your practices today?

Website:  das42

Email – [email protected]

Connect with the Team
Producer Kate Brown - LinkedIn.
Producer Steve Templeton - LinkedIn.
Host Al Martin - LinkedIn and Twitter. 

Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text

Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract

Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.

This week on Making Data Simple, we have Tim Freestone. Tim is the founder of Alooba. Alloba is a skills assessment platform for analytics, data science and data engineering. They help businesses identify the best candidates that apply for a role within its company.

Show Notes
4:46 – How do you go from economics teacher to head of business intelligence?

7:53 – Do CV’s matter anymore?

13:22 – What business problem is Alooba solving?

16:05 – Do you have any data that supports your theory?

19:01 – Why analytics, data science, data engineering?

20:26 - What do you do that others don’t?

23:50 – How does Alooba define success?

25:42 – Who’s your target client base?

32:40 –Is there a customer you can talk about?

36:24 – What does Alooba mean?

Alooba 

Connect with the Team
Producer Kate Brown - LinkedIn.
Producer Steve Templeton - LinkedIn.
Host Al Martin - LinkedIn and Twitter. 

Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text

Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract

Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.

This week on Making Data Simple, we have Ariel Utnik. Ariel is COO and GM at Verbit, an AI-driven transcription and captioning solution, Ariel has over 20 years of experience in enterprise tech, focusing on driving business efficiencies and enabling scale through AI. He can speak to how AI is transforming industries – from our court systems to entertainment and education – and how it can be used to democratize information across the globe.  Ariel has a strong customer focused background (Like Al), Chief customer officer at Feedvisor, VP customer success at Panaya, and VP Customer success at Clarizen.

Show Notes
2:51 – Tell us about customer success

4:35 – How do you make the transition from Chief Customer Officer to COO?

6:47 – What is Verbit’s main mission objective?

14:15 – How many languages do you support?

14:42 – What makes Verbit’s technology better?

19:10 – How do you train your AI?

22:47 – What solutions does Verbit offer?

27:20 – How far are we from a chat translator?

32:30 – What is the size of the market?

Verbit

Ariel Utnik - LinkedIn

Connect with the Team
Producer Kate Brown - LinkedIn.
Producer Steve Templeton - LinkedIn.
Host Al Martin - LinkedIn and Twitter. 

Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text

Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract

Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.

This week on Making Data Simple, we have Paul Zikopoulos. Paul is the VP of IBM Technology Sales – Skills Vitality & Enablement Global Markets. Paul is an award winning speaker and author and has been at IBM for 28 years.

Show Notes
3:40 – Is Skills Vitality not the prefect job?

5:08 – What’s been your journey at IBM?

8:29 – Hybrid Cloud Operation and Artificial Intelligence is this the right strategy?

21:13 – What is the new maturity curve?

23:53 – Define Data Fabric

26:53 – Why is the Challenger Seller book so important?

29:14 – What makes a great leader?

Books

Energy Bus

Grit

Challenger Sale

Challenger Customer

Effortless Experience 

Connect with the Team
Producer Kate Brown - LinkedIn.
Producer Steve Templeton - LinkedIn.
Host Al Martin - LinkedIn and Twitter. 

Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text

Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract

Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.

This week on Making Data Simple, we have Jean-Claude Mamou. Jean-Claude is the Chief Architect of Information Integration and Governance portfolio, this includes such products as Watson Knowledge Catalog and Datastage.  

Show Notes
1:45 – Jean-Claude’s experience

5:15 – What are the industry challenges?

6:52 – Is there integration without governance?

9:49 – What is the new solution?

13:12 – Understanding your critical data

16:06 – Explain what IBM Satellite means

19:53 – Where does Cloud Pak for Data come into play?

24:57 – What technology can we use to avoid repetitive mistakes?

30:36 – Understanding critical data

33:52 – What is the number 1 data quality issue?

37:08 - How are you inspired and how do you figure your next innovation? 

38:52 – Do you have a process you follow?

Jean-Claude Mamou – LinkedIn

Connect with the Team
Producer Kate Brown - LinkedIn.
Producer Steve Templeton - LinkedIn.
Host Al Martin - LinkedIn and Twitter. 

Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text

Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract

Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.

This week on Making Data Simple, we have Russ Krajec. Russ is a “recovering patent attorney” and believes IP can be used as a financial instrument.  He’s the author of Investing in Patents and one of IAM’s Top 300 Patent Strategists.  Russ is CEO of BlueIron, he finances the cost of patent portfolios, insures IP portfolios for enforcement and defense, and provides loans using IP as collateral.

Show Notes
1:28 – Russ’s intro

4:51 – How is your business monetized?

6:17 - Shark Tank chat

11:30 – What does BlueIron provide?

14:31 – What data do you use to say ‘this is the next big thing’

23:24 – How many clients do you work with?

25:50 – Common myths

33:09 – Number one mistake?

39:41 – How do you choose a patent attorney?

BlueIron

[email protected]

Russ Krajec - LinkedIn

Connect with the Team
Producer Kate Brown - LinkedIn.
Producer Steve Templeton - LinkedIn.
Host Al Martin - LinkedIn and Twitter. 

Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text

Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract

Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.

This week on Making Data Simple, we have Davit Buniatyan. Davit is founding CEO of Activeloop, he started his PhD at Princeton University, his research involved reconstructing the connectome of the mouse brain. In this research he dealt with large-scale unstructured data which was extremely expensive (amounting to millions of dollars) to manage. Later on, he realized that this problem is a real pain point, not only in the lab setting but also for many companies across industries. This made him think of a radically more efficient, and a machine-learning native way to work with data. The idea of changing how an ML team can create and manage datasets got him into Y Combinator, where he started Activeloop, a startup that has attracted the investment of prominent Silicon Valley VC firms and angel investors, and the attention of the open-source community, with the framework trending number 1 in Python on GitHub worldwide earlier this year.

Show Notes
2:05 – Davit’s experience

6:44 – What is your success criteria in the mouse connectome?

8:44 – What did you learn from this?

10:00 – Could this solve ALS?

13:19 – What is the problem you’re solving

17:17 – How do you prepare the data?

24:00 – Why are the naysayers wrong?

25:21 – What is the name of the technology?

31:19 – What problem have you not solved?

37:44 – What keeps you up at night?

38:42 – How are you finding talent?

 41:06 – What do you do for fun?

Activeloop

Activeloop - Twitter

Davit Buniatyan - LinkedIn

Connect with the Team
Producer Kate Brown - LinkedIn.
Producer Steve Templeton - LinkedIn.
Host Al Martin - LinkedIn and Twitter. 

Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.