Technology, Media and Telecommunications Predictions 2018 ...

Technology, Media and Telecommunications Predictions 2018 - India edition

Contents

Foreword01 Analytics (finally) travels beyond back office03 Internet of Things: realizing the potential07 VoLTE: enabling next-gen voice services10 Sports media in India set to unlock new horizons15 OTT in digital world soaring high18 Augmented reality: on the cusp of reality21

India Perspective25 The future of the smartphone: the era of invisible innovation26

India Perspective36 Machine learning: things are getting intense39

India Perspective43 Live thrives in an online world45

India Perspective50 Digital media: the subscription prescription51

India Perspective56 Mobile-only: wireless home internet is bigger than you think57

India Perspective64 Smartphones are useful, but they can be distracting66 Hitting the accelerator: the next generation of machine-learning chips72 Is there an #adlergic epidemic? Ad blocking across media77 The kids are alright: no tipping point in TV viewing trends for 18-24 year olds84 Fasten your seatbelts: in-flight connectivity takes off91 Acknowledgements - Global94 Acknowledgements - India95 Endnotes96

Foreword

Technology, Media and Telecommunications Predictions| 2018 - India edition

We live in a time of relentless change yet stubborn continuity.

The technology, media and telecommunications sectors remain as fascinating as ever in 2018. Many milestones will be reached this year. Progress will be exponential in some fields. But in other areas the way in which we live and work may shift imperceptibly.

Technology's progress can seem daunting at times: reports of technological advances' negative impacts abound, disseminated at the speed of light by ever faster networks. Machines are perceived by some as threats to the human race: they are stronger, faster, more responsive and even better at playing board games. Are our jobs and way of life at stake or is this the start of one of the greatest enhancements to the human experience?

Machine learning (ML), a core element of artificial intelligence, will progress at a phenomenal pace this year. But this will be from a low base. As impressive as it is today, in 50 years' time the ML abilities of 2018 will be considered baby steps in the history of this technology. ML is being deployed to make existing technology work better and augment services for customers, but in 2018 almost none of it is replacing human labor.

Indeed, technology remains a human creation with (for better and worse) human traits ? the point at which it attains autonomy from human control is far away. Sentient machines still only exist within science fiction, at present.

Technology is leaping forward, but humans hold the reins. It is being applied for the betterment of people, not their belittling. Technology empowers people to consume content where, when and with (or without) whom they want. Despite this technology-given capability, people will choose to spend over half a trillion dollars in 2018 on consuming content live, often with other people and not on-demand.

People are using digital to augment their live experience ? be this in buying and distributing tickets via their smartphones, or streaming events on ever faster mobile networks. And the pace and reach of those networks is likely to get steadily faster. The majority of voice calls have already moved to mobile networks. Now it is the turn of home broadband, thanks to the ever falling cost per gigabyte of data carried.

Most successful technologies ? from the radio to the eReader, from the steam engine to the fitness band ? undergo a period of rapid progression before reaching an inexorable plateau.

In 2017, the smartphone had its tenth birthday. On this occasion many smartphones looked as they did on their prior anniversary. This has raised the question as to whether the smartphone's zenith had already been reached. Superficially the smartphone is unlikely to change markedly in 2018, or indeed through 2023. But on the inside, it is likely going to continue to undergo a massive sequence of upgrades that will steadily

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Technology, Media and Telecommunications Predictions| 2018 - India edition

widen the device's capability, in 2018 and for years to come. Companies that understand best how to harness these invisible innovations are likely to profit most from forthcoming innovations- for example, via ever more compelling augmented reality on smartphones. It has always been our pleasure to work with the world's technology, media and telecommunications companies. Like last year, this is a combined report on global (which are 11 in number) and India (which are 5 in number) predictions with India perspectives shared on 6 of the global topics as well. Deloitte hopes you find this year's edition of Predictions to be a stimulating and informative read.

Hemant Joshi

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Technology, Media and Telecommunications Predictions| 2018 - India edition

Analytics (finally) travels beyond back office

Technology landscape in the domain of Analytics is going through a transformation. Newer technologies help integrate unstructured high volume data with relative ease, and enable faster processing of such data. Platforms and technologies offering a combination of speed and flexibility enable users to manipulate data with relative ease, 10x faster than other existing tools. Sample platforms of this nature include SAP HANA, Microsoft Azure Big Data & Analytics, Google Cloud Big Data & Analytics Platform and Amazon Web Services Big Data & Analytics. For a price conscious market such as India, economics is of paramount importance, and such platforms can provide a cost advantage of 25-30% than that of a dedicated computing platform, from a capital expenditure point of view.

Indian analytics landscape is expected to change significantly in the immediate future enabled by these technology levers and other macro level changes, as data assumes center stage in decision making at the ground level.

data like news feeds, videos and audio clips provide a significant source of rich information to drive this new world!

Device data will be integrated faster and on-demand to answer immediate field needs Deloitte predicts platforms and mash-up technologies to integrate data from devices will gain significant speed and traction in the coming year. Proprietary platforms as well as open source/ bespoke platforms providing near real time insights from devices to address immediate issues at the edge network is expected to witness increased adoption across Manufacturing, Oil and Gas, Chemicals and other process industry segments. Data from the devices will be increasingly used for achieving business outcomes (e.g. immediate needs to address potential maintenance failures based on signals and combining the same source with external and past maintenance records to find long term root cause of failures). Such machine data could also be used to dynamically align production schedules based on the demand environment2.

Enterprises will combine social inputs with internal data sources to improve customer service Deloitte predicts technologies will emerge and evolve to enable faster (not necessarily real time) integration of data from social media along with the information contained in internal CRM systems to create a more robust customer profile. With blending of external and internal perspectives, enormous insights can be generated, and businesses will increasingly use these insights to broaden their revenue base and provide a better quality of experience for customers.

Consider the example of tax administration. Authorities around the world, including our country have an objective to widen the tax base and to detect wilful defaulters early on, at the same time provide a hassle free administration for taxpayers. Indian tax authorities in collaboration with a number of technology service providers have embarked on "Project Insight" to improve efficiencies in tax administration and the ease of doing business. Analysis of data from multiple data sources such as income and tax declarations and social media help create a better profile of taxpayers and improve effectiveness at the same time reduce unwarranted demands.

Applied in business context, enterprises finding a way to integrate external perspectives (surveys, social media comments, response to a feedback questionnaire) to the internal data sources such as ERP, Customer Relationship Management (CRM) and Supplier Relationship Management (SRM) have enormous applications for such data1. Telecommunication industry with its rich repertoire of customer information is uniquely poised to explore interesting use cases. Similarly, media databases with rich unstructured

Almost all process industry players have MES (Manufacturing Execution Systems) as the first level of solutions, which is being augmented with the ubiquitous implementation of sensor or sensor based technologies like bar codes, RFID and other forms of sensors. Media and Technology sectors also have enormous potential in using sensor-based data to create context specific news stories. Any major event coverage that's widespread and signal based is deeply influenced by local sources. One way to increase the same is by deploying more reporters, a surely more pervasive way is to have more sensors collecting this information and optimizing the resources based on the most impactful event.

Information dissemination for decision-making will be lot faster and simpler using digital delivery Deloitte predicts that newer tools will have significantly better ability to extract insights, both visual as well as readable texts with data mashups. Tools will enable better visualization and integration of data from multiple sources and deliver information to end users in a seamless manner. Indian industry users across sectors will look beyond dashboards and reports to better insights and presentation.

An example of on-demand visualization is already being used by major technology companies. A large services cloud and application environment provider organization uses a combination of big data technology components to continuously watch the sales channel on web, mobile apps, as well a voice assistants deployed to create a monitoring application where they can detect any abnormal customer behavior such as abandoning a cart at the last minute, to security breaches on a real time basis.

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