AI POCKET GUIDE

Today we have the chance to talk to Mark Kerzner, Official Member of the Forbes Technology Council and CEO of SCAIA from Houston Texas.

SCAIA stands for Scalable Artificial Intelligence and at SCAIA they are building AI-based products and are applying them to document processing, such as eDiscovery for lawyers. We will dive with Mark into the possibilities and challenges of NLP and eDiscovery in the legal industry, discuss the uniqueness of governmental clients and he gives us an outlook into the world of AI for SMEs. 

Mark has been in the field of AI since the late 70ies, holds a master in Mathematics and Computer Systems, helped to introduce AI to the oil industry and is official member of Mensa, an association of people with an IQ over 132. 

In 2013 he also co-founded Elephant Scale – a modern technology training company for AI and machine learning and also is the creator of Talmud Illuminated, an almost 30 year project to create an audio-visual experience out of the Jewish Talmud.

Today we have the chance to talk to Mark Kerzner, Official Member of the Forbes Technology Council and CEO of SCAIA from Houston Texas.

SCAIA stands for Scalable Artificial Intelligence and at SCAIA they are building AI-based products and are applying them to document processing, such as eDiscovery for lawyers. We will dive with Mark into the possibilities and challenges of NLP and eDiscovery in the legal industry, discuss the uniqueness of governmental clients and he gives us an outlook into the world of AI for SMEs. 

Mark has been in the field of AI since the late 70ies, holds a master in Mathematics and Computer Systems, helped to introduce AI to the oil industry and is official member of Mensa, an association of people with an IQ over 132. 

In 2013 he also co-founded Elephant Scale – a modern technology training company for AI and machine learning and also is the creator of Talmud Illuminated, an almost 30 year project to create an audio-visual experience out of the Jewish Talmud.

The vast majority of companies in a country are small and medium size companies.  The EU defines SMEs as companies with up to 250 employees and 50 millions annual revenue. According to the European Union 99% of the companies in the EU are SMEs.  It is one thing, if VW or Google try to use AI, but what about SMEs? SMEs have barely research money or money "to waste", every wrong decision can literally break the company. They have up to no resources to spare and very seldom the money or the time to heavily invest in IT or new personell. So how do you consult in this environment? How does it differ to be an SME consultant in comparison to an AI consultant for big companies? Nicole Weider, Isao Kabayashi and Satya Dharnapuram discuss with Ansgar Bittermann this special job assignment.

The vast majority of companies in a country are small and medium size companies.  The EU defines SMEs as companies with up to 250 employees and 50 millions annual revenue. According to the European Union 99% of the companies in the EU are SMEs.  It is one thing, if VW or Google try to use AI, but what about SMEs? SMEs have barely research money or money "to waste", every wrong decision can literally break the company. They have up to no resources to spare and very seldom the money or the time to heavily invest in IT or new personell. So how do you consult in this environment? How does it differ to be an SME consultant in comparison to an AI consultant for big companies? Nicole Weider, Isao Kabayashi and Satya Dharnapuram discuss with Ansgar Bittermann this special job assignment.

In our newest podcast recording, Nicole Weidner, Associate Partner at Xenium is going to give an impulse talk about the topic "Why arent't you getting more from your Marketing AI?" Nicole has been a managing consultant at Xenium for over 10 years and since January 2021 she is an Associate Partner at Xenium. She has a deep knowledge in project management and IT consulting. Her talk will be loosely based on the recent Harvard Business Review Spotlight Series "AI-powered Marketing". For interested parties who want to prepare, here is the link to the article: https://hbr.org/2021/07/why-you-arent-getting-more-from-your-marketing-ai

In our newest podcast recording, Nicole Weidner, Associate Partner at Xenium is going to give an impulse talk about the topic "Why arent't you getting more from your Marketing AI?" Nicole has been a managing consultant at Xenium for over 10 years and since January 2021 she is an Associate Partner at Xenium. She has a deep knowledge in project management and IT consulting. Her talk will be loosely based on the recent Harvard Business Review Spotlight Series "AI-powered Marketing". For interested parties who want to prepare, here is the link to the article: https://hbr.org/2021/07/why-you-arent-getting-more-from-your-marketing-ai

We want to start the new panel discussion cycle with an open panel to give our experts more room and space to exchange their ideas and experience on the last 20 years of digital transformation. What phases did our experts encounter over the past 20 years. Which were the trigger points, the drivers, the pace makers. Which phases went successful, where could we have won more or even missed opportunities?

We want to start the new panel discussion cycle with an open panel to give our experts more room and space to exchange their ideas and experience on the last 20 years of digital transformation. What phases did our experts encounter over the past 20 years. Which were the trigger points, the drivers, the pace makers. Which phases went successful, where could we have won more or even missed opportunities?

Employees are the backbone of each successful company. But the common hiring process produces 85% disengaged and wrongly hired employees. This results in a high quitting and firing rate or low performances and frustration in the job (for both employer and employee).

Thus the common hiring process is flawed. If you think about it: The whole hiring process is solely designed for the sole purpose of testing, if a person will fit into your company. If the fit is good, the person will feel engaged. If it is bad, the person will underperform, disturb the well-being of your team, quit internally, be fired or leave the company. But with 85% of the employees feeling disenganged and high firing and quitting rates, it seems that the process is 85% of the time wrong and needs to be changed.

And there are well studied science hacks how to flip this number upside down and hire the right candidates 80% of the time! Science has brought us artificial intelligence, improved medicine and a ticket to Mars. But when it comes to hiring, many people still ignore the results science has produced in the field of hiring. We can't talk on the one hand about the "War for Talents" and then on the other hand ignore that our hiring process might be highly underperforming.

For that reason Ansgar Bittermann, CEO of Goldblum, is going to show scientific findings and real life use cases of Goldblum's day2day work on how to use these science-hacks for your advantage and hire the right candidate.

Employees are the backbone of each successful company. But the common hiring process produces 85% disengaged and wrongly hired employees. This results in a high quitting and firing rate or low performances and frustration in the job (for both employer and employee).

Thus the common hiring process is flawed. If you think about it: The whole hiring process is solely designed for the sole purpose of testing, if a person will fit into your company. If the fit is good, the person will feel engaged. If it is bad, the person will underperform, disturb the well-being of your team, quit internally, be fired or leave the company. But with 85% of the employees feeling disenganged and high firing and quitting rates, it seems that the process is 85% of the time wrong and needs to be changed.

And there are well studied science hacks how to flip this number upside down and hire the right candidates 80% of the time! Science has brought us artificial intelligence, improved medicine and a ticket to Mars. But when it comes to hiring, many people still ignore the results science has produced in the field of hiring. We can't talk on the one hand about the "War for Talents" and then on the other hand ignore that our hiring process might be highly underperforming.

For that reason Ansgar Bittermann, CEO of Goldblum, is going to show scientific findings and real life use cases of Goldblum's day2day work on how to use these science-hacks for your advantage and hire the right candidate.