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ARTIFICIAL INTELLIGENCE

FROM SCIENCE FICTION TO AI-POWERED FACT

GETTING AHEAD WITH AI HAS NEVER BEEN MORE ATTAINABLE.

The promise of AI has teased us for decades, yet only a brave few have attempted to convert the promise of machine intelligence into reality.

So what’s different today? After 50-plus years of incubation, AI capabilities have finally reached a critical mass.

KEY DRIVERS INCLUDE:

A surge in the scope and scale of major research and pilot initiatives

Advancements in infrastructure, particularly compute processing power, which have improved speed, data availability and scale at reduced cost

Massive investments by key players, such as Google, Amazon, Microsoft and Facebook

REALIZING THE POWER OF AI TODAY

Intelligent automation enables businesses to harness AI capabilities NOW.

In our recent study, we learned that nearly all of the respondents regard AI, which includes big data/analytics, as the top driver of business change between now and 2018.

MASTERING THE DIGITAL ECONOMY

A new economy—a digital economy—is emerging from the red hot furnace of technological innovation. An economy based on platforms and algorithms and “things” and “bots” is taking shape and in the process generating huge new money from ideas that represent the future.

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APPLIED AI: BEYOND SCIENCE FICTION TO BUSINESS FACT

As the digital data that surrounds us grows exponentially, it will power advanced forms of artificial intelligence that, over time, will augment human capabilities to make us smarter, more productive and effective in our personal and professional lives.

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REIMAGINING THE WORLD WITH INTELLIGENT HOLOGRAMS

As we move toward an increasingly digital future, the ability to blend the virtual with the physical world is not only an accepted norm, but has utilitarian applications. A case in point is holographic technology, which is on the cusp of transforming business in new and heretofore unimagined ways.

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WHAT IS AI?

Simply stated, AI enables machines to reason and perform tasks in ways that humans do. By combining smart algorithms with automation software,A new age machines can find answers to business challenges with heretofore unrealized speed and precision that augment and extend human capabilities.

AI capabilities encompass everything from personalized, real-time customer interactions (i.e., conversational AI) to persistent operations, freedom from error-prone, repetitive tasks and virtual predictive and diagnostic applications. We see AI evolving, from today’s systems that “do,” to tomorrow’s systems that “think,” “learn” and, ultimately, “adapt.”

Recoding the Customer Experience

By embedding AI and the Internet of Things into their enterprise applications, consumer-facing organizations can cultivate lasting and profitable customer relationships with hyper-personalized offers and services that deliver on the promise of digital.

With intelligent automation, data-intensive processes and decisions could move at machine speed and produce far more accurate, reliable and timely results.

AI VIDEO SERIES

Learn how Applied AI can help solve both social and business problems while generating remarkable growth and profitability.

Presented by Karthik Krishnamurthy

STRATEGIES FOR MAKING AI SCIENCE FACT

Competing in an era of globalization and disruptive innovations requires effective strategies for applying AI.

Businesses will benefit from making the most of the AI opportunities positioned between systems of record and systems of engagement—leveraging intelligent automation through a do, think and learn framework.

The progression from “do, think, learn” and ultimately “adapt” will continue to evolve and play an important role in the automated business ecosystem.

Corresponds with software that enables the replication of repetitive human actions, including robotic process automation (RPA). Systems that do are the on-ramp for many just getting started with AI.

Some examples include:

  • Claims processing
  • Accounts payable/receivable
  • Record or account data reconciliations
  • Data consolidation/validation
Refers to software that can operate more dynamically, making decisions autonomously when variations or exceptions occur.

Some examples include:

  • Service desk incident resolution
  • Complaint management and resolution
  • Network security management
  • Customer service and support
Applies to software that executes highly dynamic, non-rules-based processes, and can make optimal adjustments when variables change, enabling a rich partnership between machines and humans.

Some examples include:

  • Prescriptive pricing engines
  • Virtual assistant agents services
  • Retail engagement systems

Ultimately, this category will evolve to “systems that adapt,” enabling a rich partnership between humans and software bots.

AI-augmented diagnosis and prevention will be required to drive the nearly 30% boost in digitally-driven revenue growth envisioned by industry executives.

LATEST THINKING

SOFTWARE ROBOTS CAN REDUCE OPERATING COSTS BY

90%

FEATURED WORK

ON AI FROM THE DIGITALLY COGNIZANT BLOG