Welcome the very first episode in our very special Cybersecurity series of the AI in Action podcast. 

Today's guest is Clodagh Durkin. Clodagh has over 23 years experience in Cybersecurity and the majority of this time has been spent in Senior and Leadership roles. Based in Germany for the last number of years, Clodagh has some great insights on the international cybersecurity market with specific emphasis on Digital Trust. This conversation touches upon local and corporate level precautions taken to maintain this trust.

In the show, Clodagh will discuss:

Her background working in the Telecoms sector,

Ensuring digital trust among customers,

How innovation has brought Cybersecurity to the mainstream,

The impact of GDPR in the industry,

How to prepare and react for data breaches,

and her Advice to those looking for a career in Cybersecurity

Today's guest is Peter Hafez, Chief Data Scientist at RavenPack, who are the leading big data analytics provider for financial services. The company’s products allow clients to enhance returns, reduce risk or increase efficiency by incorporating the effects of public information in their models or workflows. RavenPack’s clients include the most successful hedge funds, banks and asset managers in the world.

Peter is responsible for setting up and managing the company’s Data Science department, which is instrumental in the design and development of new products derived from RavenPack's Big Data Analytics platform. With backgrounds in image processing, mathematics, machine learning and econometrics; the team is responsible for researching and modelling big data applications for the financial markets.

In the show, Peter will discuss:

RavenPack’s impact in the Fintech industry,

Benefits their products bring to customers,

Interesting projects they are working on within data,

Building a successful infrastructure,

Why he loves working at RavenPack,

and Interesting projects coming up in the near future

Today's guest is Geetu Ambwani, Senior Director of Data Insights at Flatiron Health in New York. Their mission is to improve lives by learning from the experience of every cancer patient. What stands in the way is that much of the available, real-world clinical data is unstructured and stored across thousands of disconnected community clinics, medical centers and hospitals but this is a problem that Flatiron believe they can solve.

Geetu is deeply interested in the art and science of applying machine learning and data science techniques to formulate and help solve hard problems in the healthcare space. Over the last 15 years, she has worked successfully at the intersection of data science and product development and is constantly driven to find new insights into text, semi-structured, and structured data. She also enjoys participating in conferences and panels organized by the NYC tech and data community.

In the show, Geetu will discuss:

Flatiron’s impact in the healthcare sector,

The role of the Data Insights function,

Interesting projects within drug discovery for cancer patient care,

How they set up a successful Data Science team,

Transitioning her skills from media into Healthtech,

and What the future looks like at Flatiron Health

Today's guest is Mark Ayzenshtadt, CTO and Co-Founder at conductiv.ai. Founded in 2018 in Berlin, Conductiv.ai is an AI-powered process control platform that empowers semiconductors and other precision manufacturing industries to maximize their production yield while minimizing the amount of trial-and-error. Conductiv.ai is supported by Bosch, imec and Rockstart.

Mark is a data scientist and entrepreneur passionate about applying machine learning and AI technologies where it can have the highest impact. He has built machine learning models to automate analysis of terabytes of data on billions of social media profiles, built a computer vision startup and increased revenue by 300% to $5 million in a year at an IT consultancy during his career.

In the show, Mark will discuss:

His journey to co-founding Conductiv.ai,

Quality experience gained from startup accelerator programs,

Advice on how to successfully set up your startup,

An insight into their services within the semiconductors industry,

Challenges they face working with data,

Applying AI and Predictive Analytics to increase product quality,

and How AI will further impact the semiconductors sector.

Today's guest is André Cohen, Head of Data Science at Tilting Point in New York. Tilting Point is a new-generation games partner for top independent development studios, with a focus on the rapidly growing mobile and tablet markets. André brings 10 years of game industry experience with expertise in machine learning, dynamic pricing, game optimization and game development.

Tilting Point empowers elite developers with expert resources, operational support and funding to give carefully selected games mainstream success. The company adheres to a core philosophy of putting development talent first, advancing industry-leading analytics and overcoming discoverability hurdles with aggressive, best-in-class marketing.

In the show, André will discuss:

Deciding to drop out of his PhD to pursue his passion for gaming,

What he learned in his experience with White Shoe Media & Gondola,

The exciting work he does with Tilting Point,

The importance of Data Analytics within mobile gaming,

Use cases of the success they bring to game developers,

The impact of Data Science & Business Intelligence at Tilting Point,

and How Data Science will further impact the gaming sector

Today, we are delighted to welcome Martin Stamenov back to the show. Martin is the Machine Learning Team Lead at Berlin-based Lengoo. Since 2014, Lengoo's machine translation platform has empowered over 3,500 SMEs and enterprises from ten countries to break language barriers and to easily tap into international markets with high-quality translations in more than 400 language pairs.

Lengoo's use of the latest Deep Learning technology enables the team to combine native-speaking native skills with expert technical knowledge and precision. With this approach, they provide not only translations superior in quality, but also an exceptional user experience for both their linguists and their clients.

In the show, Martin will discuss:

How to effectively apply AI in your organization,

The benefits of applying Process Automation at Lengoo,

Challenges they overcame applying Machine Learning,

The impact of Neural Machine Translation,

Building their architecture around NLP and Machine Translation,

and his Key learns on the journey of embracing AI & Automation at Lengoo

Today's guest is Melissa Landon, VP and Chief Strategist at Cyclica. Cyclica is a Toronto-Based globally recognized biotechnology company that leverages AI and computational biophysics to reshape the drug discovery process. Cyclica's proprietary structure-based and AI-augmented drug discovery platform includes Ligand Design for multi-targeted and multi-objective drug design, and Ligand Express for off-target profiling, systems biology linkages, and structural pharmacogenomic insights.

Taken together, Ligand Design and Ligand Express design advanced lead-like molecules that minimize unwanted off-target effects, while providing a holistic understanding of a molecule's activity through integrated systems biology and structural pharmacogenomics. By doing more with Artificial Intelligence, Cyclica aims to revolutionize a system troubled with attrition and costly failures, accelerate the drug discovery process and develop medicines with greater precision.

In the show, Melissa will tell you about:

The fascinating work they are providing in the biotech industry,

What makes them stand out from the competition,

How they are applying Machine Learning and Data Science at Cyclica,

What attracted her to join Cyclica,

Upcoming projects & what’s in store for the future,

and How AI & Data Science will continue to positively disrupt the HealthTech sector.

Today's guest is Markus Müller, Lead Data Science Engineer at UP42 in Berlin. UP42 brings together data from satellites with powerful analytics in one easy-to-use platform and marketplace. By detecting changes, monitoring trends and identifying objects, they are making it easy to not only see our planet but to understand it too by enabling people to access, analyze and understand Earth data.

Markus has worked in a variety of roles in the geospatial industry as a software engineer, researcher, trainer and technical project manager. For the last seven years, his focus has been on machine learning and computer vision. He provides hands-on technical leadership of the Data Science team at UP42 working on pre-processing and analysis of geospatial data with a strong focus on deep learning.

In the show, Markus will tell you about:

UP42’s work in geospatial algorithms and data,

The role of Computer Vision at UP42,

Challenges to solve in object detection & land cover segmentation,

The importance of training data for creating their ML algorithms,

Applying Deep Learning for Super-Resolution images,

Tech used to optimise the performance of their algorithms,

and Upcoming trends that can further impact the industry

On today's show, host JP Valentine chats with Dave Boerner, Director of Data Strategy at Particle Health in New York.  Founded in 2017, Particle Health is on a mission to solve the biggest problem facing the American healthcare system - data sharing. They believe patients have the right to control their data, but shouldn’t bear the responsibility of collecting, managing and transporting it. That’s where Particle Health comes in.

By taking a unique approach, their venture-backed startup is positioned to lead patient-centric data sharing. Particle Health manages patient consent, giving investigators, underwriters and administers a single-point ‘clearinghouse’ for clinical health data, without the need for a 3rd party. With Particle Health, simply obtain a patient's permission to securely access their digital medical records. It's that easy.

In the show, Dave will tell you about:

The interesting projects going on at Particle Health,

How they are improving data access within healthcare data,

Using data to improve cover, reduce costs and improve outcomes,

What they look for when scaling their team,

Benefits that Particle Health can bring to clients,

Advice to those looking to start their Data Science career,

and What’s in store for the future at Particle Health

Host Anthony Kelly chats with Lukas Kemkes, Co-Founder at Creatext in Berlin. 

Annoyed by emails? Creatext are working on changing that by allowing you to feel less stressed by taking back control over your inbox. In addition, Creatext offer Natural Language Processing consulting for corporates, SMEs and startups. By combining human & machine intelligence, Creatext allows you to improve your processes, automatically extract information from text data and generate new texts using state-of-the-art NLP.

A productivity hacks enthusiast, Lukas bridges his business and technical experience, acquired at Tesla, to help busy people. Building on his background in Statistics from ENSAE Paris and his NLP knowledge from CybelAngel, he recently developed a model to summarize news articles automatically. Now as the co-founder at Creatext, Lukas and the team are helping companies use NLP to save time, scale the amount of data they process and increase the quality of their products and services.

In the show, Lukas will discuss:

The journey to setting up Creatext,

How they are using Natural Language Processing at Creatext,

Their work within generating text,

The potential of translating languages,

New trends within NLP that excite him,

Challenges they need to overcome within ownership and data privacy,

and The pros and cons of GPT-2