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A content writer who has worked for Infosys Technologies and other technology startups in India and abroad.
Avanish is a Bangalore-based journalist who writes on business with a specific focus on technology companies.
Priyanka has covered every aspect of the IT industry as a tech journalist since its early days. She is now an independent writer, working on subjects like digital marketing, enterprise technology and high-performance computing, among others.
A freelance content writer, S. Sahu was the former editor of TCS's house magazine at Tata Consultancy Services. He developed tech marketing collateral for the company and helped compile and edit books and journal articles on TCS's technology innovations. He also ghostwrites print and online publications.
Prajwala is a Bangalore-based freelance journalist who writes on social issues, stories of human interest, and art and culture, among others.
Rajesh Nanarpuzha is an Assistant Professor of Marketing at IIM Udaipur. Previously, he has worked as a brand manager in Dabur, and as a business consultant in the retail and consumer goods domains at Cognizant and Tata Consultancy Services. Rajesh has an MBA from IIM Indore and a doctorate in marketing from IIM Ahmedabad.
Priyokumar Singh Naorem
He is a passionate UI & UX designer who thrives on creating engaging creative solutions.
A freelance illustrator, artist, graphic novelist and designer. She has designed and illustrated several book covers. Her personal illustrations so far have attempted to seize the fleeting absurdity and mood of places, things and people she encounters in a childlike, intuitive and expressive manner with closure, beauty and innocence – the things that she desires.
She is an artist and an educator who has taught and lectured at The School of the Art Institute of Chicago, Oxford University, the Victoria and Albert Museum among other institutions. Her installations, paintings, thread work and sculptures have been exhibited in Saatchi Gallery - London, C24 Gallery - New York, and Museum of Contemporary Art – Lyon, among other notable galleries and museums from around the world.
A commerce graduate from Delhi University, Parul pursued a masters in fine arts from Nottingham Trent University in the UK. As an artist, she is interested in line as a subject which has led her to follow architectural lines in built environments. She says she is also interested in how we perceive the environment that we inhabit and what happens when a subtle shift is made in things which we have been used to seeing in a certain way. We present six of her artworks here.
Shweta Malhotra is a graphic artist and designer from Mumbai, based in New Delhi.
After working with ad agencies and design studios for close to 8 years, she branched out on her own and currently works independently.s Her overall design aesthetic is minimal, bold and graphic, a response to the maximalist visual language prevalent in India.
Rithika Merchant (b.1986) received her Bachelor’s Degree in Fine Arts from Parsons the New School for Design, New York in 2008. She has exhibited extensively since her graduation. Recent exhibitions include a duo show “Reliquaries: The Remembered Self” at TARQ, Mumbai; “Language of the Birds: Occult and Art” at 80WSE Gallery, New York; and group shows at Summerhall, Edinburgh and Artry Gallery, Kochi. Her work has been included in multiple group shows at Stephen Romano Gallery and The Morbid Anatomy Museum, New York. Born in Mumbai, she now divides her time between Mumbai and Barcelona.
Aniruddh Mehta is an artist based out of Mumbai, India. Trained in graphic design from the London College of Communications, Aniruddh is a self-taught illustrator and currently works as an independent freelance designer. He believes in finding the right balance between art and graphic design. He has worked closely in collaboration with Bhavishyavani Future Soundz, Qilla Records, Taxi Fabric, Adidas, Dell and United Colours of Benetton. He also goes by the moniker, ‘thebigfatminimalist’ and his style ranges from bold minimal forms to more intricate pieces exploring patterns and geometry.
Paramesh is an artist who enjoys working in both the realistic and abstract style of painting. He loves working with water color. Featured in this issue are a set of water color works that he has created exclusively for us on the subject of digital transformation.
Concept and Direction
Head of marketing at Regalix, Nimish drives research in emerging technologies and customer experience, and takes a keen interest in creative arts.
According to Gartner’s Hype Cycle for Emerging Technologies, 2017, Artificial Intelligence will be everywhere. It is being seen as the most disruptive class of technologies over the next 10 years due to radical computational power, near-endless amounts of data, and unprecedented advances in deep neural networks. In the coming years, organizations with AI technologies will be able to harness data in order to adapt to new situations and solve previously unknown problems for business competitiveness. Gartner says that enterprises looking at AI should consider technologies like Deep Learning, Deep Reinforcement Learning, Artificial General Intelligence, Cognitive Computing, and Conversational User Interfaces to be relevant in the coming years.
Arup Roy, Research Director, Gartner India, tells us how AI can be relevant currently and how the organisations should go about deploying this and what to watch out for:
Interviewed by Priyanka Bhattacharya
Artificial Intelligence (AI) in terms of usage in business cases is still in the early stages. There’s still a lot left to be desired. Homogenous adoption is still way off since organisations are in the process of evaluating the technology in real life scenarios. Unlike many other hyped-up technologies of the past, we do not see the hype about AI dying down. In fact it is not a hype anymore; it is slowly moving mainstream to becoming a way of doing business.
It is now in the 3rd or 4th era of consuming IT. The world has moved from client-server era to internet based computing to app-based economy. In the fourth generation it is about AI, where the whole world is squeezed into chat platforms powered by intelligence. Intelligent apps that will help you in your purchase, offer you usable advice on stocks etc. The possibility will be immense. The human-machine interaction will change. It will be more life-like, as in a human agent.
In the enterprise today, in terms of AI adoption, processes like help desk or service desk can look at AI enabled solutions. AI apps today are mature enough to help in organisation’s business processes. Other than that, conversational agents are also becoming a mature solution that can be deployed within an organisation.
AI will have different flavours – it will have distinct usage for the enterprise and for the consumer. In an enterprise set up, a virtual bot can be used to manage internal corporate needs like IT services. In a B2B scenario where B2B clients or end users are serviced or connected, we could see conversational bots. For example, take the scenario of a bank where an associate joins the team, and a virtual assistant can be used for on-boarding the new employee and training on all the bank’s processes. In a B2B scenario, the same bank can use virtual assistants and AI enabled chatbots to service corporate customers or even retail customers. In fact, the bank can use this AI-enabled solution to even keep track of its external vendors and ensure smooth processes with the company’s systems architecture.
My first advice is that if you are starting out with the thought process of ‘how can I leverage AI?’, then forfeit it. That should never be an organisation’s way to deploying AI related solutions. The central focus should be on digital transformation. It should be about what relevant solutions are needed to be digitally ahead. The CXOs need to flesh out services and processes they need to remain competitive. They need to address the question of which direction the business should take and how best to service the customers. Reinventing the business model is more important. Only when that has been worked out should the technologies that enable it to be looked at.
There are a few things that you need to take note of when working out your AI-enabled digital transformation strategy. You should look at the financial impact, customer impact, business impact, the way you can execute the transformation. If that’s in your digital transformation strategy, then explore how AI can impact the points mentioned. You need to draw a business case – look at how AI can speed up your processes, help in transactions, benefit in operational terms, and the cost of acquiring the AI-based solutions. When the benefits outweigh the cost and the risk, then you should evaluate and deploy.
However quite contrary to this, the CIOs today are often mandated with deploying AI-enabled solutions without really understanding the business needs. The request is often “We need chatbots, so please implement them,” and the entire department gets going on deploying solutions to enable chatbots within the processes, without a serious thought about whether they need it or not, and are these chatbots really helping in the overall scheme of things.
So, I would say that instead of being aware of AI and looking at deploying the technology, evaluate whether you have a proper roadmap drawn up for digital transformation. Do you have an enterprise-wide thought process? If you are comfortable with the answers, then look at the solutions.
In your evaluation process, to avoid AI washing, look at proof of concept from the vendors. See how well it is automated and how robust is the solution, whether it is scalable and flexible, how much effort is required to deploy it, the complexity of the solution, whether it has tools to self-learn, the concept of the solution, the cost of maintenance, and how effective are the results. Then you need to draw up the governance of this tool with the other tools within the organisation. This is the framework which you should use to ensure real AI deployment in your processes.
Deep learning, AI-based solutions, advanced statistics, linear regression, branches of machine learning, ability of the technology to deliver the right results… these are some of the things that CCXOs should start thinking about.
Though right now one of the reasons which can hold back the deployment is the expensive deployment cost – the cost of hardware required is high, but the compute is getting cheaper. Also, another issue is availability of the right skillset among the engineers, and the solution providers. The understanding of these technologies is still very nascent, so many are unable to make the solutions truly effective or usable. There needs to be a good understanding of neural networks and how it impacts the overall AI technology. It is a challenge and this resource-related challenge can slow down deployment. We still have to work on that.
We were the first realty company to adopt augmented reality
Pratik Mantri, Director, Mantri Developers Pvt Ltd
Brands are not yet used to thinking about 3D content in the real world
Jean-Francois Chianetta, CEO, Augment.com
Chatbots are a great way of converting portal and mobile App footfalls into potential leads
Ganesh Ramakrishnan, Manager, Business Transformation, DSOA (Dubai Silicon Oasis Authority)
Time is money and artificial intelligence can save you time
Gaurav Verma, Chief Technology Officer, Aasaanjobs
Good data from AI creates hypertargeted, personalized campaigns
Sangram Vajre, Chief Evangelist and Co-Founder, Terminus