Cypher 2016 saw more than 60 talks from 86 speakers, spread across 3 days and 3 parallel sessions. There was obviously a lot of high-quality content to be consumed in these three exciting, power packed days.
Here we sorted the 10 talks that received highest ratings on our website and Mobile app. There were a lot of other talks that Cypher2016 audience loved, and we encourage you to check all of them out at our Youtube channel.
1. Mohandas Pai – The evolution of the workforce in a machine-augmented and data-driven world
Automation, machine-driven decision-making, and robotics are becoming dominant factors in shaping the demands on the workforce of the future. While a few roles will be eliminated completely, a vast majority of them will have to evolve to contribute value along new dimensions. Data-driven decision-making will become hygiene, and the application of human inference and insight on top of the machine layer will be the new normal.
In a world driven by data, what are the new professional competencies and skill sets? How can companies stay competitive through this transformation? How do we use these technologies to automate redundant roles while creating several new ones? How do we re-skill our existing workforce to stay competitive through this transformation? And how do we nurture a stream of highly specialized talent that can improve business outcomes for roles that we are not able to completely define today?
In this keynote, Mohandas Pai, Chairman of Manipal Global Education Services and Aarin Capital, talks about the specialized workforce of the future where niche skills will be the differentiator, and how companies need to prepare for this path to transformation.
2. Sandeep Mittal – Analytics in Domestic India Market: What makes it different, challenging and ultimately rewarding
We hear there are a few hundred analytics firms in the country, but very few of them choose to play in the Indian market because – and this is the general view – it’s frankly impossible to build a viable analytics business doing work for domestic firms.
Sure. But there’s more to this market than lower gross margins, and as the founder of one of the few players that have firmly planted a flag in the domestic market, Sandeep has plenty to share on what makes this market different, challenging, mind-boggling, and, ultimately, rewarding.
3. Panel Discussion: What’s holding organizations from adopting analytics
Given the amount of visibility analytics has, what’s holding organizations back from being able to adopt analytics and decision sciences? Is there a lack of faith and if so what is causing it? Is it that they cannot find the right skills and tools and service providers? Is it that it’s just too confusing and intimidating a landscape? Or even that the internal culture issues are too daunting to overcome. The panel will dive deep into what organizations stepping into the deep end of analytics adoption need to do to ensure success.
4. SAMEER DHANRAJANI – Mr. Algorithm…The new member in the board room discussing the Algorithm Economy
The future shall have algorithm economy driving the Internet-of-Things where inert machines can communicate autonomously to take actions without human intervention, powered by replaceable algorithms. Autonomous Software that thinks and does. The detachment of smart things from its internal operating algorithm will lead to autonomous machines whose “personality” could be changed at will.
5. Dakshinamurthy V Kolluru – Analytics talent: How to build systematically in your organization
More and more companies are planning to establish analytics profit centers. However, due to the lack of preparedness of tradition university systems, corporates are building analytics talent in an adhoc manner.
In this presentation, we shall develop a grid structure for the analytics competency needs of an organization. We shall identify crucial gaps in the existing talent pool and suggest a framework for an organization to systematically build the competencies.
6. Anshu Sharma – Paradigm Shift in Insurance
These are exciting times in insurance industry across the world. Latest Technologies are playing a key role in its journey ahead. With IoT, blockchain, biotech and Data Science, we are experiencing a paradigm shift in how insurance industry works.
7. Juergen Hase – A unique chance for India to lead Global IoT Market
IoT isn’t a hype, it is already reality. We are talking about 20,000 new IoT connected data points each minute and millions of developers who are already working on new features and services.
Market trends are coming up faster and will not only be local, they are global. To follow these trends and to be in a leading position we have to think in new dimensions. We have to create new ICT architectures, new organization structures, new business models, new forms of partner models and many other things. All together – horizontal and vertical structures, real time, QoS, big data, security and analytics – will create real value for our customer. India has a unique chance to be in a leading position on the global IoT market.
8. Deep Thomas – Applying learnings from matured markets to steer Indian Analytics agenda
Today India is at a cusp in the analytics evolution journey. Superlative economic growth, the emergence of a new breed of millennials and the focus of the Government on “Make in India” are fundamentally changing the economic landscape.
In the midst of these foundational changes, Indian companies are finding out newer and innovative ways of sustaining growth and competitive differentiation. Usage of data driven decision-making and leveraging the power of data for competitive advantage is fast becoming the order of the day. Most companies and business groups are looking at analytics as the new competitive weapon. Charting out the path of future analytics evolution within such dynamic environment is a difficult endeavour. Lessons from the evolution of analytics from matured markets may be one of the many ways for a strategist to hazard a guess into the future. However, in many ways India presents challenges and opportunities, which are quite unique; and suitable parallels may be difficult to find.
9. Viral Shah: Julia – A new language for data science
Julia is a high-level, high-performance dynamic programming language for data science that solves the two language problem.
The two language problem refers to prototyping in one language and deploying in another. Julia combines the ease of prototyping languages such as Python, R, and Matlab with the performance of systems languages such as C++ and Java. As a result, Julia programs can be deployed at scale without the need to be rewritten. In this talk, I will introduce some of the key ideas behind Julia, show what makes Julia fast, and how solving the two language problem is important for data science.
10: Ravi Vijayaraghavan: Analytics for Growth and User Experience at Flipkart
At Flipkart, we have built a highly scalable data infrastructure that is a rich source of information about our consumers, sellers and our supply chain.
The analytics teams leverage this infrastructure to build a deep understanding of our business, its growth drivers and the Indian consumer. This talk will focus of some of our work in this area. It will be a glimpse into some of our solutions to drive business growth and User experience for our consumers and sellers.
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