2017 KEY STRATEGIC TECHNOLOGY TRENDSSAMEER DHANRAJANIGlobal Business Leader, Cognizant Analytics & Data Scienceshttps://sameerdhanrajani.wordpress.com

1. ARTIFICIAL INTELLIGENCE AND ADVANCED MACHINE LEARNING

Applied AI and machine learning are composed of many technologies andtechniques (such as deep learning, neural networks and natural-languageprocessing [NLP]). The more-advanced techniques move beyond traditional rule-based algorithms to create systems that appear to understand, learn, predict,adapt and potentially operate with little or no human input or guidance.

• Through machine learning, a smart machine can change its future behavior

• Additionally, natural-language generation dynamically increases the volumeand value of insights and context in data analytics.

• Organizations are applying AI and machine-learning techniques to createintelligent app categories (such as VPAs) and improve traditional applications(such as worker performance analysis, sales and marketing, and security).

REFERENCE LINKS

https://sameerdhanrajani.wordpress.com/2016/12/01/sameer-dhanrajani-how-machine-learning-and-ai-will-drive-digital-transformation/

https://sameerdhanrajani.wordpress.com/2016/11/04/sameer-dhanrajani-the-ai-powered-retail-revolution/

https://sameerdhanrajani.wordpress.com/2016/11/18/sameer-dhanrajani-banking-evolution-using-ai/

2. INTELLIGENT THINGS Intelligent things are physical things that go beyond the execution of rigidprogramming models, leveraging AI and machine learning. This enables them todeliver advanced behaviors and interact more naturally with their surroundingsand with people. Also, we can enhance existing things by embedding AI andmachine learning invisibly into their normal operation. For example, we can turna camera into a smart camera.

• New intelligent things, built smart from ground up, fit loosely into three broad categories: Robots, Drones and Autonomous vehicles

• Existing (non-intelligent) things are being upgraded by creating a digital twin, which is a dynamic software model of a physical thing, employing sensors.

• The idea of modeling the much larger number of common things — cars, buildings and consumer products — from virtual models, with functional behavior embedded to make day-to-day decisions about the physical world, is emerging

REFERENCE LINKS

https://sameerdhanrajani.wordpress.com/2016/12/01/sameer-dhanrajani-how-machine-learning-and-ai-will-drive-digital-transformation/

https://sameerdhanrajani.wordpress.com/2016/07/18/sameer-dhanrajani-chatbots-the-protege-of-ai-data-sciences/

3. VIRTUAL REALITY AND AUGMENTED REALITY Immersive technologies, such as VR and AR, are part of a new wave of computing

devices that transform the way individuals interact with one another and withsoftware systems.

• Head Mounted Displays (HMDs) and the device-mesh-based apps & servicesthat power them represent new forms of user interaction that will enable newtypes of consumer and workplace behaviors

• Using Virtual Reality (VR), employees can conduct VisualInspection for siteinspections, and Training Process for many equipment use scenarios, includingones, such as catastrophic malfunction, that don't happen often, but thatneed immediate attention.

• Augmented Reality (AR) has a high scope of implementation in FactorySettings and Warehouse Productivity Optimization, like significant increase inpicking process

REFERENCE LINKS

https://sameerdhanrajani.wordpress.com/2016/05/27/sameer-dhanrajani-retail-industry-redefined-through-data-sciences/

4. BLOCKCHAINS AND DISTRIBUTED LEDGERS Blockchain and distributed-ledger concepts are gaining attention, because they

hold the promise to transform industry operating models. Multiple business usecases are yet to be proven, but 52% of those surveyed believe that blockchainswill affect their business (Gartner).

• Using a public blockchain will potentially remove the need for centralauthorities in arbitrating transactions. This is because there is inbuilt trust inthe model through immutable records on a distributed ledger.

• Recent versions of distributed ledgers will incorporate assets, data andexecutable programs allowing for customized applications.

• A critical aspect of blockchain technology today is the unregulated,ungoverned creation and transfer of funds, which also concerns regulators andgovernments. . The debates about permissioned, permissionless, hybrid andprivate ecosystems and governance will force a more-robust analysis ofdistributed ledgers. As these analyses are completed, workable solutions willevolve.

REFERENCE LINKS

https://sameerdhanrajani.wordpress.com/2016/06/21/sameer-dhanrajani-data-sciences-fintech-companies-for-competitive-disruption-advantage/

5. CONVERSATIONAL SYSTEMS A conversational system uses a conversational UI as its main interface mode.

People and machines will communicate across a wide range of mesh devices(such as sensors, appliances and IoT systems). Immersive, continuous andcontextual user experience elements will enable this communication using arange of input/output modalities (such as sight, sound, touch, smell, taste andradar).

• NLP will rapidly replace rule-based synonym and phrase substitutionapproaches.

• Dynamic natural-language ontologies or knowledge graphs at multiple levels ofspecificity will be needed to support NLP capabilities, such as disambiguation,concept identification and relationship extraction.

• VPA experiences will improve as the AI back end for VPA systems continues toevolve and providers open up their systems for developers to provide tighterlinks to their applications for targeted scenarios.

REFERENCE LINKS

https://sameerdhanrajani.wordpress.com/2016/07/18/sameer-dhanrajani-chatbots-the-protege-of-ai-data-sciences/

https://sameerdhanrajani.wordpress.com/2016/12/01/sameer-dhanrajani-how-machine-learning-and-ai-will-drive-digital-transformation/

6. MESH APP AND SERVICE ARCHITECTURE The mesh app and service architecture (MASA) is a multichannel solution

architecture that supports multiple users in multiple roles using multiple devicesand communicating over multiple networks to access application functions.Monolithic applications will be refactored into reusable microservices and sharedmodular miniservices that reduce the scope of a service down to an individualcapability.

• Serverless computing is an abstraction model building which is gaining ground,in which, the provider fully manages the infrastructure (for example, virtualmachines) to serve application requests so that the developer doesn't have tothink about the server resources.

• MASA approaches will shift to an "events first, response second" approachduring the next five years. Traditional request-driven approach is also essentialto modern business, but in the intelligent digital mesh, the main focus willshift toward the event-driven model

REFERENCE LINKS

https://sameerdhanrajani.wordpress.com/2016/05/06/sameer-dhanrajani-sophistication-in-analytics-enter-data-science/

https://sameerdhanrajani.wordpress.com/2016/08/29/sameer-dhanrajani-the-holy-grail-of-data-sciences-liquid-insights-amplified-intelligence-succinct-recommendations/

7. DIGITAL PLATFORM VIEW OF BUSINESS A platform provides the business with a foundation where resources can come

together — sometimes quickly and temporarily, sometimes in a relatively fixed way— to create value. As digitalization moves from an innovative trend to a corecompetency, enterprises will understand and exploit platform effects throughout allaspects of their businesses.

• The platform viewpoint will give you a technology anchor model to guidetechnology vision, reducing complexity and redundancy

• The deepening of digital means that lines are becoming increasingly blurred, andboundaries semi porous — both inside and outside the enterprise — as multiplenetworks of stakeholders bring value to each other by exploiting and exploringplatform dynamics

• CIOs are clearly being given the opportunity to lead a digital transformation thatexploits platform effects majorly in managing delivery, talent and executingleadership.

REFERENCE LINKS

https://sameerdhanrajani.wordpress.com/2016/12/18/sameer-dhanrajani-key-win-themes-to-master-in-digital-business/

THANK YOUSAMEER DHANRAJANIGlobal Business Leader, Cognizant Analytics & Data Scienceshttps://sameerdhanrajani.wordpress.com