

The Alldus Podcast - AI in Action
Alldus International
The AI in Action series of The Alldus Podcast breaks down the hype and explores the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.
Powered by Alldus International, the premium AI Workforce Solutions, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI across the world.
Powered by Alldus International, the premium AI Workforce Solutions, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI across the world.
Episodes
Mentioned books

Jun 28, 2019 • 18min
E35 Oliver Christie, Co-Founder at Moven AI
Today's guest is Oliver Christie, co-Founder at Moven AI. Artificial Intelligence is the biggest technology disruption of our generation and Oliver helps companies envision their future and leverage this technology to stay ahead of the competition.
Oliver looks at how AI can impact key aspects of the business such as acquiring and retaining customers, customizing products and services, and achieving profitability. He works with companies to develop the right solution which, at times, can fundamentally reshape how the business operates.
In the episode, Oliver will discuss:
Projects he works on helping companies embrace AI
Battling Bias in Data-Driven decision-making
The role of governments introducing AI strategies
Being aware of Blindspots
How to maximise your Data Science career
Emerging trends within AI

Jun 11, 2019 • 12min
E32 Dr. Luca Longo, TU Dublin Lecturer and AI researcher with ADAPT Centre
Today's guest is Dr. Luca Longo. Luca is an Academic, National Teaching Hero, AI researcher and TEDx speaker who has a deep passion for science. He is actively engaged in the dissemination of scientific material to the public as his TEDx talks demonstrate and has received various awards both for his research work and for his teaching.
With his team of doctoral and post-doctoral researchers, he conducts fundamental research in Explainable Artificial Intelligence, Defeasible Reasoning and Non-monotonic Argumentation. He also performs applied research in Machine Learning and predictive data analytics, mainly applied to the problem of mental workload modelling.
He is an advocate of motivational teaching and strongly supports learning through passion. Having gained invaluable education, work experience and international recognition he is strongly motivated to revolutionise the science of mental workload, pave a new research path with a significant impact for the future societies and become a world leader in his field.
In the episode, Luca will tell you about:
His research in AI and Automatic Reasoning
The importance and challenges of Explainable AI
Applying his research to positively impact society
Where he believes research among XAI is heading in the near future

Jun 4, 2019 • 22min
E30 Chelsea Weidman Burke & Frank Zenie, Zenie Foundation
In the episode, Chelsea and Frank will talk about:
The impact they have made in Lab Automation with Zimark
How Automation is transforming the Life Sciences
The role of humans alongside Automation
How Lab Automation will further impact the industry
Interesting work to check out in Lab Automation

May 24, 2019 • 20min
E29 Rouzbeh Gerami, Director of Data Science at Xaxis
Today's guest is Rouzbeh Gerami, Director of Data Science at Xaxis in New York City. Leading the Data Science team at Xaxis, Rouzbeh works on the development of ML-based solutions for real-time bidding with a focus on translating current industry and academic-based AI research into practical solutions, with special attention to deep reinforcement learning.
Xaxis are pioneering what it means for the advertising industry to offer simplicity and accountability to clients. They combine unique brand-safe media access, unrivalled programmatic expertise and 360-degree data with proprietary Artificial Intelligence to help global brands achieve the outcomes they value from their digital media investment.
In the episode, Rouzbeh will talk about:
His journey to joining Xaxis
Using Data Science at Xaxis within the advertising sector
Applying reinforcement learning to real-world problems
Challenges the Data Science need to overcome
Top skills you need for a career in Data Science
Leading the innovation-driven culture at Xaxis

Apr 24, 2019 • 22min
E26 Sotir Hristev, Head of Data Science at Exactag
Today’s guest is Sotir Hristev. Sotir is the Head of Data Science at Exactag in Frankfurt, Germany since early 2017 and he is also a member of the I-COM Germany Advisory Board. Sotir is responsible for the technological development and advancement of data modelling in Exactag’s platform.
Previously, Sotir oversaw the development of Havas’ data science department and he also lead one of the largest teams of data scientists out of all German media agencies focused on digital marketing and marketing automation. He is an industry leading researcher and consultant with a lifetime of experience in managing media agencies and on the client side.
In today’s podcast Sotir will share with you:
The Data Science scene within digital marketing in Germany
The implications of Data Science for business in Germany
Trends within Data Science in marketing
How changes and the setup in organisations have an impact on the career path of Data Scientist
How to build an effective Data Science team in your organisation
Advice to students starting off their Data Science career

Apr 17, 2019 • 19min
E25 Robert O’Callaghan, Director of Data Science at Ayasdi
Today’s guest is Robert O’Callaghan, Director of Data Science at Ayasdi. Robert engages in the identification, analysis, modeling and visualization of data to produce actionable business improvement for the world’s largest organizations at Ayasdi, who are the global leader in the development of enterprise-grade, machine intelligent applications for financial services.
Robert has successfully implemented machine learning solutions within several Fortune 500 companies, focusing in particular on bleeding edge unsupervised learning technique. He has also presented internationally at Financial Services and AI conferences on these successes.
In the show today, Robert will tell you about:
His journey to joining Ayasdi
Challenges of working within Data Science
Interesting projects at Ayasdi, such as an anti-money laundering process
How Data Science and Automation is changing the Financial Services sector
The importance of effective communications

Mar 29, 2019 • 19min
E24 Niall O’Connor, Chief Technology Officer at Genospace
Today’s guest is Niall O’Connor, who is the CTO at Genospace. Originally from Ireland, Niall is a pragmatic engineering leader motivated by delivering meaningful, innovative and secure technology in healthcare and life sciences. He has grown organisations from being the only engineer to a group delivering products generating multi-million dollar recurring revenue.
Based in Boston, Genospace improves patient outcomes with cloud-based software that gives you instant access to analytics and data insights. Genospace has worked with a number of leading companies engaged in personalized medicine and in January 2017, Genospace became part of the Sarah Cannon Cancer Institute at HCA Healthcare.
In the show, Niall will share with you:
How he came to set up Genospace
Using genomics medicine to improve patient outcomes
Challenges of working with health data and documents
Advice on how to build an effective data science team
What’s in store for the future of Genospace and healthcare
A real-world story on how Genomics can improve people’s lives

Mar 20, 2019 • 19min
E23 Marc Held, CEO at ODYN
Today’s guest on the show is Marc Held, who is the CEO at ODYN. Based near Boston, ODYN help large manufacturers across the world synchronize their supply chains and reduce their in-transit inventory using low-cost pallet tracking and machine-learning.
No matter which mode of transportation or carrier you’re using, ODYN can monitor the location and environment of your shipments from end-to-end. This allows you to ensure integrity and service level by gathering your data to see how trade lanes are performing.
In the episode, Marc will discuss:
The problem they are looking to solve at ODYN
How they track the movement of shipments for large manufacturers
Benefits that ODYN are bringing to customers
How AI and Machine Learning is impacting the supply chain and logistics
Current AI trends that excite him
Advice to companies who are looking to apply AI within their business

Mar 15, 2019 • 18min
E22 Hamid Nawab, Co-Founder and Chief Scientist at Yobe Inc.
Today’s guest on the show is Hamid Nawab, co-founder and Chief Scientist at Yobe Inc. Based in Boston, Yobe are bringing AI into the world of signal processing to introduce intelligent behavior much earlier in the process with “Signal Processing That Thinks.”
While processing signals acquired in “noisy scenarios,” this type of advancement in technology enables platforms to accurately separate voices of interest from the background and near-field noise, in essence harnessing the “DNA” of individual voices.
This allows Yobe’s technology to improve the overall sound quality and speech command accuracy for far-field applications and speaker identification platforms, which dramatically reduces error rates associated with noisy environments.
In this episode, Hamid will tell you about:
Yobe’s work with signal processing for speech recognition
His research into the problem he was looking to solve
The inspiration to set up Yobe
Challenges of working with voice recognition technology
How Yobe helps make your smart devices smarter
Where AI and Machine Learning is heading in the near future

Mar 8, 2019 • 18min
E20 Jeff Orkin, Founder and CEO at Giant Otter Technologies
In today’s episode, our guest is Jeff Orkin. Jeff is the Founder and CEO at Giant Otter Technologies, who are building a future where machines can participate in extended, coherent, context-rich conversations with people. The Giant Otter conversation authoring platform builds bots bottom-up from call recordings and live chat transcripts.
Based on 10 years of research originating at MIT, their technology provides a structured, reliable, repeatable process to automate conversations directly from data. Giant Otter are developing new frameworks for artificial intelligence, capable of exploiting multiple representations of meaning, maintaining coherent dialogue over many turns and explaining their own decisions.
In the episode, Jeff will tell you about:
The inspiration to set up Giant Otter Technologies
Creating coherent conversations between human and machines
The task of adding context to Conversational AI
Benefits that automation and chatbots can bring to your business
Exciting projects coming up at Giant Otter
Where he believes AI and Deep Learning is heading in the near future