How to Succeed at Data Science Jobs That Don’t Exist Yet
How to Succeed at Data Science Jobs That Don’t Exist Yet


In 2019, every company is a technology company whether they like it or not. Regardless of industry or vertical, future successful organizations will be required to embrace the power of data science. From Robotic Process Automation to AI, prescriptive analytics to machine learning algorithms - data science is being incorporated into every aspect of business regardless of discipline or geography.
While this represents tremendous opportunities for data scientists, it also comes with challenges. Because the field is evolving so rapidly, it means that data scientists will have to stay ahead of the curve in order to be successful. They will need to constantly be aware of trending and understand how their skills are going to map to what is in demand, what employers are paying for.
Today’s economic climate also requires data scientists to understand the business value of data science as companies develop unique, innovative and monetizable portfolios. These include but are not limited to areas like:
• new mobility models (autonomous vehicles, ride-sharing, Hyperloop)
• genetic engineering (CRISPR, immunotherapies)
• extraterrestrial travel (taking cargo and humans to the ISS, the Moon, Mars)
• robotics (supply chain to surgery)
• financial services (cryptoassets, blockchain)
• media and entertainment (AR/VR, mixed reality)
In my session, I will help attendees better understand career and learning paths for data science. I will start with socio-historical context, and then describe trending and future opportunities across a range of sectors and verticals. I will also share concrete guidance on how to stay on top of these trends using my three Future Career Tools – Voice, Antenna and Mesh.


Christopher Bishop is passionate about the power of emerging technologies to deliver positive transformation at the intersection of business and culture.
Chris worked in the entertainment business for over 20 years performing in various touring rock bands as well as composing music for radio and TV commercials. He then spent 15 years at IBM in a variety of roles, working initially as a Web producer and business strategy consultant, then shifting into an executive communications role at Corporate Headquarters driving social media adoption and the use of virtual worlds.
Chris has written and spoken on the topic of AI, blockchain, augmented and virtual reality and robotics at various events and conferences. Last fall, he spoke at the ODSC event Accelerate AI, Europe 2018 in London. His talk was titled “Your brain is too small to manage your business” describing the increasing commoditization of AI.
He also recently co-authored a white paper with MIT Media Lab professor Sandy Pentland titled Blockchain+AI+Human”, describing the business possibilities as well as the socio-cultural implications of connecting AI and blockchain.

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