„The world´s most valuable resource“ titles „The Economist“ in May, referring to data as the resource. With computing resources in the cloud, cheap sensors in physical products, and advanced machine learning algorithms to make use of the collected data, the relevance of data will only increase.
We believe that these developments open up new opportunities, in particular for Product Managers. They can include feedback loops in their existing products in order to improve them or create new products based on the usage data of an existing product. The usage data itself can even become the USP of the physical product. Machine learning can help to automate customer jobs that before required tedious input of data by the customer. Business models become more complex as users of a service and buyers of data might be very different.
In our Meetup series on Data Products we want to share the experience of our speakers in creating Data Products with the wider community. In previous Meetups we have discussed what Data Products are, success factors for Data Products and how Data Product Management differs from Product Management in general.
This time we'll look at the strategic and organisational prerequisites to launch a Data Product.
Join us for an interesting evening to get the insights from our speakers. Doors at Digital Eatery will open 19:00, talks start at 19:30.
We are proud to announce the following speakers:
Alex Löser - The Rise of the Data Science Organization
In the same way that electricity changed the world 100 years ago, Data Science will change many aspects in our private lives and our work. Back then, electricity was complicated. Business decisions included to install either light bulbs or electric motors or both; trained experts needed to think about using either AC or DC. Since business leaders did not know much about electricity, they hired a specialist, a VP of electricity, to figure things out for them. Today, electricity is commoditized and reliable, so this role is no longer necessary. 20 years ago, we watched the rise of the CIO, an expert hired to sort out the internet and computer information. Now, we are hiring experts that figure out how we can design data products, often based on artificial intelligence. What can we learn from history? How can a company build a strong data science organization? How to interconnect established silos? Is that process similar to electricity 100 years ago? In this talk I will highlight some important findings from my work with major companies during the last years.
Alexander Löser leads the data science research team at Beuth-University of Applied Sciences Berlin and initiated the degree program “Master Data Science”. His previous stations are HP Labs Bristol, IBM Almaden Research Center, the research division of the SAP AG and the Technische Universität Berlin. During the last five years, he helped large corporations and start-ups in defining novel data products or in introducing new business units for designing data products. Learn more about him at www.datexis.com or https://www.linkedin.com/in/loeser/
Alexander Weber - Tales from a software start-up for mechanical engineering or: how to develop digital services for manufacturing companies
Digital services become an increasingly important part for manufacturing companies. In order to achieve their full potential, vertical integration of the machines and systems as well as the horizontal continuity of digital processes is necessary. AXOOM is a subsidiary of the TRUMPF Group. As an open digital business platform, offering tailor-made building blocks along the value chain, AXOOM accompanies manufacturing companies on their way towards Industry 4.0. Examples will show how added value can be created and which fields of action emerge in this context.
Alexander Weber ist a Digital native with 13+ years' experience in Product Management and Development of hardware- & software based products in Medtech and IoT. Today he is the responsible Product Manager for AXOOM's IoT Product Portfolio.
Christin Hoepfner - The journey to discover data products and services in a large publishing company
Springer Nature - Director Digital Services
Learning from our own as well as user-generated data has become key over the past years in digital product development. Taking this to the next level by introducing machine learning into the processes to develop a continuous feedback and learning cycle as well as extracting information for personalized customer experiences in many different languages worldwide is Springer Natures goal. Springer Nature is a global publisher dedicated to providing the best possible service to the research community. We help authors to share their discoveries, enable researchers to find, access and understand the work of others and support librarians and institutions as well as individual professionals with innovations in technology and data. We use our position and our influence to champion the issues that matter to the research community – standing up for science; taking a leading role in open research and being powerful advocates for the highest quality and ethical standards in research.
Christin Hoepfner is Director Digital Services at Springer Nature with 10+ years experience in strategic product development and the development of web-based applications. Over the past years she is supporting Springer Nature’s digital strategy to move a classical print-driven organization into a data-driven digital publisher.