How are advancements in new solutions cutting down the manual workload for companies and increasing data project success rates?

Achieving deeper data insights: Exploring how deep learning can enable businesses to tap into increased levels of intelligence from big data

Can businesses fully rely on technologies alone to generate data insights or is human intervention required?

How do the skillsets of the data insights team need to evolve in light of new technological advancements?

Chatbot Maturity: How much automation can conversational machines deliver to businesses?

Defining your data road map: Examining the best approach for creating a culture of analytics from the bottom-up

Looking at the bigger picture: How do you shift mind sets to view data analytics as a long term vs short term fix?

Building alliances: How to build trust in relationships across the business to gain the cooperation you need for data projects to succeed

Creating a circle of influencers: How do you recruit internal ambassadors to sell your data project’s benefits for you?

Building a foundation of analytics in your culture: How do you push the benefits of key data experiments to spur engagement amongst employees and as a result speed up the delivery?

Operating in a data-driven world: Where are the likely next sources of big data?

Which new technologies are most likely to shake up the competitive dynamics in the big data ecosystem?

How will new technological advancements shape your big data architecture?

What skillsets will replace the current high in demand data science talent shortage?

How will new entrants born in the digital era disrupt current competitive pressures in particular verticals?