As the growth of data accelerates, so has the culture of data-driven digital transformation.&nbs p;Our ability to leverage data effectively, though, has not. With the rise of trends like machine learning, predictive analytics, and the move to the cloud, we often see ad hoc data solutions created to address these in-the-m oment trends, but they are not reusable or scalable. The problem is that th is tooling is ill-equipped to cope with the new reality of the enterprise d ata landscape, as typical solutions like relational databases, warehouses, and data lakes encourage data sprawl and duplication of data. What these ap proaches have also left us with is a landscape where many data-driven proje cts, such as Customer 360, are failures. And in a world where the differenc e between success and failure is how well you leverage your data, that kind of outcome is unacceptable.
\nIn this talk, we'll sta rt from square one and think about how we can provide a solution that addre sses data management trends and challenges, and we'll see that all road s lead us to one place: the knowledge graph.
\nKey l earnings:
\n\n The challenges and trends of the modern data landscape and why current appr oaches to data management simply make the problems worse\n What is a knowledge graph and how is it different than a graph and relation al database \n How the platform is the pinnacle of modern architecture encouraging reusabi lity and scalability \n How organizations like NASA, Morgan Stanley, and Bosch leverage knowledge g raph\n\n DTSTART:20200325T083000 SUMMARY:Modernizing Your Architecture: Why All Roads (and Edges) Lead to Kn owledge Graph DTEND:20200325T092959 LOCATION: See Description END:VEVENT END:VCALENDAR