The Six TECH TRENDS of 2019

A quick navigation guide

In 2019, one thing is certain — there will be no slow-down in the software transformation journey for organizations across the world, nor in the pace of technology disruptions. To navigate through these rough waters, business leaders will need to have one eye firmly fixed on the horizon, in order to exploit future trends before they can upturn the organization. In this article, we explore the six technologies that will turn the tide for organizations this year, while outlining broad guidelines on how to leverage them and sail into the new age, full steam ahead.

Data & Analytics

From “must have” to “must deliver value”

Decision-making platforms built on data lakes are no longer enough to generate business value. Enterprises will have to embrace data value governance that covers the entire analytics value chain, from data and insights, to people and processes. Moreover, data governance will have to be integrated with overall business strategy and aligned to a
data-driven business model. In the near future, we foresee Machine Learning (e.g. self-service data preparation platforms) and Natural Language Processing (conversational analytics) accelerating the data-driven decision-making process.

Artificial Intelligence & Machine Learning

ML is all set to excel in 2019

Machine Learning is already an intrinsic part of enterprise automation roadmaps. AI democratization is on the horizon, spurred by an increase in ML solutions, rising demand for data science talent, and increasing complexity of algorithms. Large platform players (think Amazon, Google) will prove instrumental in the explosion of ML models. 2019 will train its spotlight on NLP and text analytics, along with deeper explorations into deep learning. Enterprises should look past chatbots and incorporate NLP in every aspect of customer experience, while evaluating explainable aspects of algorithms for better adoption of black box models. Also, remember to keep a sharp eye on regulatory frameworks.

Human-Machine Interaction

AR will soon become ER – Everyday Reality

While Human Machine Interaction technologies — including augmented reality (AR), virtual reality (VR), and chatbots — are yet to find mainstream adoption, they are slowly gaining traction in the enterprise. Adoption barriers will further dissolve with advancements in software engines, AR/VR devices, and democratization of content creation. So how can enterprises leverage HMI? Smartphones are a smart conduit for AR applications — consider using them to create a customer outreach strategy. Secondly, ramp up productivity with AR/VR applications that assist human resources employed in diagnostics and repairs. Also, using safe, cost-effective AR/VR applications to simulate dangerous physical world scenarios can give you an edge over competitors, especially during training programs and demonstrations.

Internet of Things (IoT)

Security is still top priority

Security remains the dominant success factor in IoT deployments, and architectural shifts are in the air, along with an increasing number of IoT devices. Edge Computing will be the new center of focus, while blockchain and newer network connectivity standards will impact IoT over the long term. Security will improve as the industry learns from more complex deployments, with remote upgradation of IoT devices becoming indispensable, and compliance with GDPR becoming non-negotiable. To succeed, adopt an edge-first approach and ensure clarity of expected business outcomes and technology roadmaps before embarking on IoT projects.

Identity, Access & Security

Zero trust is still the hero in 2019

In today’s age of highly fluid enterprise network boundaries, good sense dictates to ‘never trust, always verify’. In the near future, automation and managed security services will gain wide traction, while self-sovereign decentralized identities will set the stage for a collaborative ecosystem.

To move towards a zero-trust enterprise, focus on omni-channel security, backed by machine-intelligence- driven monitoring tools and an automated framework. Want to leverage users’ data in business analysis and transactions? Ensure user consent first. To further tighten security measures, create a cohesive data security and privacy plan to comply with global data privacy regulations.


Hype-time over, prime-time begins

In 2019, multiple enterprise blockchain pilots will move into production, egged on by the launch of robust production grade platforms. Expect blockchain to mature into a viable self-sovereign identity solution and public blockchains like Bitcoin and Ethereum to rise stronger from the ashes, with layer-2 network solutions. Blockstack — a new global blockchain platform for decentralized apps (dApps) — will also usher in exciting new changes. Our recommendation for enterprises? Blockchain value creation demands a business strategy shift and alliance formation — hold a boardroom conversation first before jumping the gun to a technology conversation.

For an in-depth read on the 6 digital trends, download our whitepaper here.

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