Overview of emerging technologies:A focus on Blockchain and CognitiveBill Briggs, Chief Technology OfficerNitin Mittal, Analytics and Information Management - National Service Line LeaderEric Piscini, Global Financial Services Consulting Blockchain LeaderDeloitte Consulting LLP

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Reengineering “capital T” Technology

Reshaping the heart of the business

Transforming the enterprise

Data as a business asset

An ecosystem of trust

Man and machine

Reimagining engagement

Risk andregulatory

Flexibility and ubiquity

BlockchainEric Piscini, Principal

Global Financial Services

Consulting Blockchain Leader

The Cognitive EnterpriseNitin Mittal, Principal

Analytics + Information Management

Top 3 emerging technologies organizations are investing in:

Analytics market trends and projectionsOrganizations are looking for ways to leverage artificial intelligence, driving heavy investments in new technologies all centered around cognitive capabilities

In IT Spending in Big Data by 2020

$232BNew “things” connected each day to network infrastructure in 2016

5.5MOf CIOs indicated that tech spend in analytics would increase over the next 2 years

76%Of unstructured data vs. structured data by 2020

~9x

Cognitive Internet of Things

More data created by IoT devices by 2019

269x

Robotic Process Automation

• Emulates strengths of the human brain, including parallel processing and associative memory

• Enables interaction with humans in natural language, voice, and text by using natural language processing on structured and unstructured data

• Understands/leverages big data in real time to automatically filter, process, and extract key information

• Uses machine learning to develop context-based hypotheses and make reasonable predictions and recommendations based on learned concepts and relationships

• Converts text, images, and voice data into meaningful concepts and relationships

What does Cognitive mean?Convergence of technologies that enables systems to mimic human reasoningand judgement

Welcome to the Cognitive Era!Evolution of enterprise intelligence

1900sTabulatingSystem Era

1950sProgrammableSystem Era

2000sCognitiveEra

2020sAmplifiedIntelligence Era

Advancements are converging to drive exponential changeKey drivers of the evolution

Faster processing speed

Smarter algorithms

Exponential growth of data

meters

Linear Exponential

Cognitive-led exponential change is dramatically changing our livesCognitive enabled exponential disruption

Large technology company builds thermostats that use machine learning to understand your preferences and save energy

Multiple technology companies apply natural language processing

and speech recognition to contextually interact with users

A logistics company utilizes handwriting recognition to

automatically sort over 95% of all handwritten addresses

Automobile manufacturer collects large amounts of data on driving patterns to create an expansive and shared autonomous learning

ecosystem for self-driving

Three broad emerging opportunitiesParadigms of the cognitive disruption

Robotics & Cognitive Automation

Enable machines to replicate human actions and judgement with robotics and cognitive technologies

Cognitive Insights

Identify opportunities growth, diversification and efficiencies by creating large-scale organization intelligence with pattern detection and the ability to analyze multiple data sources

Cognitive Engagement

Use intelligent agents and avatars to deliver mass consumer personalization at scale and smarter, more relevant insights to amplify end user experience

A spectrum of capabilities are enabling transformations for the Cognitive EnterpriseCognitive capabilities

Computer vision

Machinelearning

Natural language

processing

Optimization

Speechrecognition

Rules-basedsystems

Robotics Planning &scheduling

Using Cognitive technologies can greatly increase efficiencies, provide broader insights and identify risks and threats…

Cognitive in Audit, Risk and Compliance…

Robotics & Cognitive Automation

Cognitive Insights

Cognitive Engagement

Audit Tie-outAutomate manual and repetitive processes when tying out statements such as 10Q/K forms to optimize time and resources and significantly increase efficiency, effectiveness and accuracy

Automation of risk processesAutomate labor-intensive, error-prone, and highly complex risk processes that deal with high volumes of structured and unstructured data, where the output can benefit from the tool self-learning over time

Threat monitoring and detectionTrack activities and entities to establish normal behavior, and detect sources of anomalies that could create potential risks

Signal Risk Score Analysis Integrate into Audit's Signal platform to analyze and explain risk decile scores

Risk-related decision making Analyze contextual data (both structured and unstructured) as well as decision points, to determine rational choices –helping executives take strategic and financial decisions in line with their risk appetite

Risk sensingIdentify or predict risks that are difficult for humans and rule-based systems to spot, such as new categories of risks, diffused signals of risks, or potential sources of future risks

Transform your work, decision-making, and interactionsThe times are changing

Analytics Insights

Reactive Sensing Proactive Sensing

Segmentation Personalization

Workflow Automation Intelligent Automation

… TOFROM…

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