Today's guest is Elias Vansteenkiste, Lead Research Scientist at Brighter AI in Berlin. Based on state-of-the-art deep learning, Brighter AI anonymizes camera data in a natural, yet privacy-preserving way that allows for advanced analytics and AI.

Privacy regulations worldwide restrict how camera data can be uploaded, shared, analyzed or used for AI models. Most camera use cases, from security to autonomous driving, involve personally identifiable information such as faces and license plates. Thereby, Brighter AI empowers companies to harness the full potential of public camera data.

In the show, Elias will discuss:

Brighter’s work within anonymization

How he got involved in Machine Learning

Ensuring their Deep Learning models are ethical

Challenges in creating real-time generated models

What is the Mode Generator

Exciting projects in store for Brighter AI

Today's guest is Mo Moubarak, Head of Business Development at MoBerries. The hiring process is often time-consuming, complicated & frustrating at times, but MoBerries is solving the job market inefficiencies. They are building the largest worldwide shared talent network and using their proprietary AI system to match the right talent with the right job vacancies.

In the show, Mo will discuss:

How MoBerries’ platform is impacting the hiring process

How AI and emerging technology is impacting the job market

Pros and cons of automation he is seeing in the industry

The importance of creating USP’s around customer insights data

The key to building personable relationships

Today's guest is Mark Hookey, CEO at DemystData in New York. DemystData helps financial institutions harness the explosive growth of data to serve more customers. With a mission to mobilize the world’s data, the company partners with leading financial institutions and consulting firms to power data access within tier-one global banks, insurers, and lenders

Demyst's external Data Platform allows customers to explore and integrate new data more rapidly and gain a 360-degree view of data usage within their organizations. Financial institutions leverage DemystData’s software services to extend credit to new segments of customers, combat fraud, strengthen compliance, and reduce data managements costs.

In the show, Mark will discuss:

What motivated him to set up DemystData

The success of their external data marketplace

What AI trends excite him for the future

Leveraging data in a compliant and ethical manner

What he enjoys most at DemystData

Advice on how to be a great Data Scientist

Today's guest is Kevin Jolly, Business Intelligence Manager at Wunderflats. Kevin is a Data-driven strategist, author & speaker and he is currently building the business intelligence division and designing data-driven solutions for Germany's leading Housing-as-a-Service platform at Wunderflats.

Wunderflats believe that everybody should have the freedom to live and work anywhere. This is why they make finding a furnished rental delightful and convenient. With Wunderflats you choose your furnished apartment, say how many months you're staying and book it with the click of a button.

In the show, Kevin will tell you about:

Building a data strategy at Wunderflats

Creating a successful data science team

Using data to add value to the business

Leveraging cloud technologies for data warehousing

Deciding what tools work for your business

The recent mindset and culture shift around AI

Today's guest is Georg Hildebrand, Senior Research Engineer at Zalando in Berlin. Georg has several years of experience in data science and scientific computing and is currently building the next generation of Zalando's machine learning platform. The goal is to enable and democratize machine learning for almost all employees and business processes.

Zalando believes that their integration of fashion, operations and online technology gives them the capability to deliver a compelling value proposition to both customers and fashion brand partners. Zalando’s shops attract more than 300 million visits per month with over 28 million active customers in 17 markets across Europe.

In the episode, Georg will tell you about:

Zalando’s work in creating infrastructure for machine learning

Advice on how to get started with data science

Prioritising the workload at Zalando

Helping coach and train data science professionals

Challenges of applying AI and Machine Learning

His work within High-Performance Computing

Today's guest is Dino Scheidt, who is the VP of Applied Machine Learning at FoundersLane. Dino is a Conference Speaker, Software Engineer, Entrepreneur and Investor with over ten years of experience in data and deep tech ventures with Fortune 500/DAX in San Francisco, Europe and Asia.

FoundersLane are co-creating ventures together with corporate partners with their mission to build disruptive businesses and powerful platforms through a proven co-creation model, sharing entrepreneurial risk. The team has founded, built, scaled and invested in over 250 tech companies across multiple industries.

In the show, Dino will discuss:

How he got involved in Machine Learning

The work they do at FoundersLane

The challenge of helping businesses embrace AI

Encouraging collaboration between business and technology

How to effectively apply AI in your organisation

Today's guest is Gregor Lämmel, Director of Data Science at Market Logic Software in Berin. Gregor is a strong leader and AI expert with over ten years of experience in data science, software engineering and people management. While he has a strong academic background, he has proven his leadership skills by building an amazing team of data scientists at Market Logic.

Market Logic delivers Insights Portals to share and promote knowledge, Intelligence Portals to analyze markets and competitors, and Market Insights Platforms to generate insights from data and inject these in business processes. Their software is used to drive customer centricity in a number of different sectors globally.

In the show Gregor will tell you about:

Moving from academic research into industry

How the MLS platform help brands sell their products

Benefits they bring to customers

How NLP and Deep Learning enhances their offering to clients

Auto Summarizer, their Flagship AI Product

Key advice on how Data Scientists can add value to their company

Today's guest on the show is Dat Tran, Head of AI at Axel Springer in Berlin. Dat is an experienced technology and business leader with a strong passion for building up high performance, cross-functional and self-managed balanced teams from scratch.

He is currently the Head of AI at Axel Springer Ideas Engineering, the innovation unit of Axel Springer which is the largest digital publishing house in Europe. The AI unit delivers end-to-end machine learning projects and conducts state-of-the-art AI research. His goal is to make AI more accessible within Axel Springer and hence drive innovations within the group.

In the show, Dat with tell you about:

How he created a personal brand on social media

Why he chose a career in AI and Data Science

Building a successful data science team

Creating a collaborative culture to scale the business

Benefits that Applied AI and Data Science bring to customers

Challenges he has needed to overcome throughout his career

Today's guest is Chet Chambers, who is the Vice-President and Chief Evangelist of the Americas at UI Path. Chet was one of the successful early adopters of RPA technology and saved his employer VHA millions by analyzing data on a previously impossible scale.  He moved to UI Path in 2018 coming on board as a Chief Evangelist in helping UiPath customers scale their RPA initiatives.

More than 2,750 enterprise customers and government agencies use UiPath's Enterprise RPA platform to rapidly deploy software robots that perfectly emulate and execute repetitive processes, boosting business productivity, ensuring compliance and enhancing the customer experience across back-office and front-office operations.

In the episode, Chet will discuss:

His journey into working with RPA

Interesting projects they work on at UI Path

Challenges to be aware of working with automation

Exciting trends within RPA

The reality of how RPA and automation will shape the industry

Advice to engineers looking to get into the field

Today's guest is Przemyslaw Drewnowski, who is the Lead Data Scientist at X24Factory in Berlin, the leading independent operator of vertical search portals in Home & Living who are building the next generation of digital furniture showrooms. Przemyslaw works primarily with Deep Learning with an in-depth experience of the whole Machine Learning and Big Data ecosystem.

In the show, Przemyslaw will tell you about:

Coming into Data Science from a non-traditional background

The importance of collaboration between Data Science and Data Engineering

The role of a DevOps and DataOps in business

How to use DataOps to optimise data and reduce costs

How to write a great CV

Making the most out of the Interview process