Focus on customer experience and how we all can improve that with the new supercomputers. Presentation by Jay Bellissimo, General Manager and Chief Revenue Officer Watson & Cloud Platform, IBM. Held at Watson Sweden Summit 2017.
Investment Thesis on Distributed Ledger Technology in the Financial SystemEmre Tekisalp
An investment thesis from the point of view of venture capital funds, developed as part of Columbia Business School Venture Fellows Program. This presentation looks at what transaction related problems the financial system currently faces, how different startups working on distributed ledger technologies (such as Blockchain) are proposing to solve this problem, and how the author believes the future will unfold.
At the 2017 NC Digital Government Summit, I gave a presentation to demystify Blockchain. The presentation explained what is blockchain, compared primitive trade to Burning Man -- and, highlighted the record and public key; then ended with specific use cases.
The digital banking report for 2016 has some interesting insights for the banking industry for this year. Here is a short look at the top 10 trends that are defining the industry.
Blockchain point of view for the telco, media and entertainment industryIBM Blockchain
Blockchain point of view for the telco, media and entertainment industry by Luca Marchi, Utpal Mangla, Mathews Thomas.
IBM Blockchain Services: https://ibm.co/2Llrq3J
Top 10 Reasons to Learn Blockchain | Blockchain Training | Blockchain Tutoria...Edureka!
( Blockchain Training :https://www.edureka.co/blockchain-training)
This Edureka's Blockchain video tells you why Blockchain is one of the leading technology in today's IT Industry and why should you learn it. This video also shows the job opportunities and the market.
Here is the link to the Blockchain blog series: https://goo.gl/DPoAHR
You can also refer this playlist on Blockchain: https://goo.gl/V5iayd
Subscribe to our channel to get video updates. Hit the subscribe button above and click on the bell icon.
Investment Thesis on Distributed Ledger Technology in the Financial SystemEmre Tekisalp
An investment thesis from the point of view of venture capital funds, developed as part of Columbia Business School Venture Fellows Program. This presentation looks at what transaction related problems the financial system currently faces, how different startups working on distributed ledger technologies (such as Blockchain) are proposing to solve this problem, and how the author believes the future will unfold.
At the 2017 NC Digital Government Summit, I gave a presentation to demystify Blockchain. The presentation explained what is blockchain, compared primitive trade to Burning Man -- and, highlighted the record and public key; then ended with specific use cases.
The digital banking report for 2016 has some interesting insights for the banking industry for this year. Here is a short look at the top 10 trends that are defining the industry.
Blockchain point of view for the telco, media and entertainment industryIBM Blockchain
Blockchain point of view for the telco, media and entertainment industry by Luca Marchi, Utpal Mangla, Mathews Thomas.
IBM Blockchain Services: https://ibm.co/2Llrq3J
Top 10 Reasons to Learn Blockchain | Blockchain Training | Blockchain Tutoria...Edureka!
( Blockchain Training :https://www.edureka.co/blockchain-training)
This Edureka's Blockchain video tells you why Blockchain is one of the leading technology in today's IT Industry and why should you learn it. This video also shows the job opportunities and the market.
Here is the link to the Blockchain blog series: https://goo.gl/DPoAHR
You can also refer this playlist on Blockchain: https://goo.gl/V5iayd
Subscribe to our channel to get video updates. Hit the subscribe button above and click on the bell icon.
“Over the past two decades, the Internet has
revolutionized many aspects of business and
society... Yet the basic mechanics of how people
and organizations execute transactions… have
not been updated for the 21st century. Blockchain
could bring to those processes the openness and
efficiency we have come to expect
in the Internet Era.”
—Arvind Krishna
Senior VP, IBM Research
Unbundling Of Financial Services: The Blockchain(s) RevolutionGeorge Samuel Samman
This is a deck which talks about blockchain(s) and their use cases, It is based off of some o the best thought in the space and looks at why banking and financial services will be changed.
Blockchain for Power & Utilities – real or hype?EY
What does blockchain mean for the power and utilities industry? Find out how blockchain is being used by utilities today and how to prepare for the coming revolution.
Future relevance for banks in the data economyMounaim Cortet
In today’s data economy in which everything has become a transaction, future relevance for banks is no longer based on payments alone. To help senior executives of banks to start leveraging their Open Banking capabilities in this context, we recommend three must-do actions to holistically address the components of a digital trust infrastructure (digital identity, consent management, payments and data sharing). These actions will enable banks to build much-needed customer relevance, credibility and trust in the digital transaction era.
Crafting Decentralized Finance (DeFi) based Capital Market infrastructureFloyd DCosta
Despite digitization and progress in the last decade, Capital Markets continue to be plagued by a set of long-standing challenges. Meanwhile, Blockchain technology has gone mainstream and now Decentralized Finance (DeFi) offers a next-generation platform to transform Capital Markets.
Based on open protocols and DApps, DeFi can help transform the global financial infrastructure and lead Capital Markets into the post Covid-19 ‘Digital’ era
The Future of Fintech: Crystal balls and tasseographyTim Swanson
Presentation first given to a roundtable talk at the Sim Kee Boon Institute at Singapore Management University (http://http://skbi.smu.edu.sg/) on March 5, 2015. Additional notes, references and citations are in the comments of each slide. I would like to thank Arthur Breitman, Andrew Geyl (Organ of Corti), Yakov Kofner, Raja Ramachandran and John Whelan for their feedback and comments on several slides.
apidays LIVE Hong Kong 2021 - TradFi and DeFi or, Where the Land meets the Se...apidays
apidays LIVE Hong Kong 2021 - API Ecosystem & Data Interchange
August 25 & 26, 2021
TradFi and DeFi or, Where the Land meets the Sea
Simon Redfern, CEO and Founder of TESOBE
Disruptive Insurance Product Innovation Using IoT in HealthcareAmazon Web Services
Potential for consumer healthcare
1. No more non-value apps – consumers want insights
2. Lifestyle and Wellness platforms will win
3. Data INTENSITY = New OPPORTUNITY
4. Real Time is the NORM
5. Machines learn to IMPROVE our lives
Speakers:
Gaurav Sharma, Senior Industry Principal and Lead for Finacle on Cloud business, Infosys Finacle
&
Michael Braendle, Principal Cloud Architect, Professional Services, AWS
Public, private and hybrid blockchains: what makes sense whereEY
After enthusiasm for blockchain technology usually come strong constrains about privacy, security or sulfurous reputation. Both private networks and public blockchains offer benefits but to what extent are those advantages worth the loss of control? Explore the metrics to consider when architecting a blockchain solution.
How is the journalism industry impacted by blockchain Blockchain Council
The entire business has been revolutionised by Blockchain. A technology that once began as the underlying Bitcoin trading platform has now become a core technology that has changed the way companies function. The media and journalism field is no different from the various sectors that have felt the influence of Blockchain. The age-old way of working has become ossified, and there is now a need for technology that can speed up the pace of activity. Many media organisations are currently searching for experts from Blockchain who can help to incorporate and render Blockchain more effective with current business operations.
Swisscom's own transformation story as well as a presentation on the topic of Artificial intelligence: AI applications can help businesses in many different areas. They are particularly suitable for analysing large quantities of data in the shortest possible time and finding new solutions to complex problems.
Keynote presentation from IBM Solutions Connect 2013 covering topics such as changing business world today and how technologies can help organisations cope with this change and move forward.
“Over the past two decades, the Internet has
revolutionized many aspects of business and
society... Yet the basic mechanics of how people
and organizations execute transactions… have
not been updated for the 21st century. Blockchain
could bring to those processes the openness and
efficiency we have come to expect
in the Internet Era.”
—Arvind Krishna
Senior VP, IBM Research
Unbundling Of Financial Services: The Blockchain(s) RevolutionGeorge Samuel Samman
This is a deck which talks about blockchain(s) and their use cases, It is based off of some o the best thought in the space and looks at why banking and financial services will be changed.
Blockchain for Power & Utilities – real or hype?EY
What does blockchain mean for the power and utilities industry? Find out how blockchain is being used by utilities today and how to prepare for the coming revolution.
Future relevance for banks in the data economyMounaim Cortet
In today’s data economy in which everything has become a transaction, future relevance for banks is no longer based on payments alone. To help senior executives of banks to start leveraging their Open Banking capabilities in this context, we recommend three must-do actions to holistically address the components of a digital trust infrastructure (digital identity, consent management, payments and data sharing). These actions will enable banks to build much-needed customer relevance, credibility and trust in the digital transaction era.
Crafting Decentralized Finance (DeFi) based Capital Market infrastructureFloyd DCosta
Despite digitization and progress in the last decade, Capital Markets continue to be plagued by a set of long-standing challenges. Meanwhile, Blockchain technology has gone mainstream and now Decentralized Finance (DeFi) offers a next-generation platform to transform Capital Markets.
Based on open protocols and DApps, DeFi can help transform the global financial infrastructure and lead Capital Markets into the post Covid-19 ‘Digital’ era
The Future of Fintech: Crystal balls and tasseographyTim Swanson
Presentation first given to a roundtable talk at the Sim Kee Boon Institute at Singapore Management University (http://http://skbi.smu.edu.sg/) on March 5, 2015. Additional notes, references and citations are in the comments of each slide. I would like to thank Arthur Breitman, Andrew Geyl (Organ of Corti), Yakov Kofner, Raja Ramachandran and John Whelan for their feedback and comments on several slides.
apidays LIVE Hong Kong 2021 - TradFi and DeFi or, Where the Land meets the Se...apidays
apidays LIVE Hong Kong 2021 - API Ecosystem & Data Interchange
August 25 & 26, 2021
TradFi and DeFi or, Where the Land meets the Sea
Simon Redfern, CEO and Founder of TESOBE
Disruptive Insurance Product Innovation Using IoT in HealthcareAmazon Web Services
Potential for consumer healthcare
1. No more non-value apps – consumers want insights
2. Lifestyle and Wellness platforms will win
3. Data INTENSITY = New OPPORTUNITY
4. Real Time is the NORM
5. Machines learn to IMPROVE our lives
Speakers:
Gaurav Sharma, Senior Industry Principal and Lead for Finacle on Cloud business, Infosys Finacle
&
Michael Braendle, Principal Cloud Architect, Professional Services, AWS
Public, private and hybrid blockchains: what makes sense whereEY
After enthusiasm for blockchain technology usually come strong constrains about privacy, security or sulfurous reputation. Both private networks and public blockchains offer benefits but to what extent are those advantages worth the loss of control? Explore the metrics to consider when architecting a blockchain solution.
How is the journalism industry impacted by blockchain Blockchain Council
The entire business has been revolutionised by Blockchain. A technology that once began as the underlying Bitcoin trading platform has now become a core technology that has changed the way companies function. The media and journalism field is no different from the various sectors that have felt the influence of Blockchain. The age-old way of working has become ossified, and there is now a need for technology that can speed up the pace of activity. Many media organisations are currently searching for experts from Blockchain who can help to incorporate and render Blockchain more effective with current business operations.
Swisscom's own transformation story as well as a presentation on the topic of Artificial intelligence: AI applications can help businesses in many different areas. They are particularly suitable for analysing large quantities of data in the shortest possible time and finding new solutions to complex problems.
Keynote presentation from IBM Solutions Connect 2013 covering topics such as changing business world today and how technologies can help organisations cope with this change and move forward.
Transforming Business with Cognitive APIs: What Innovative Business Strategie...IBM Watson
Watch the on-demand replay of the webcast here: https://www.youtube.com/watch?v=hIN1RjxOFTk
AI, machine learning and over 50 technologies behind Watson cognitive computing are ushering in a new era of technology that will reshape our human-computer interactions in business and in science. Join this Executive Webcast Series to hear insights, guidance and vision from some of our Watson leaders on Why, What and How cognitive APIs are being applied for business value and transformation.
In this episode, gain insight from an exec in the industry on WHAT innovative business strategies are facilitated with cognitive APIs.
In an era of information overload, investors are spending too much valuable cognitive bandwidth endlessly searching for signals buried under mountains of noise. The consequence of information overload for investors is an over-reliance on heuristics. Heuristics cause biased decisions, increased risk exposure, missed opportunities and under-performance. In order to outperform benchmark indices in today’s financial markets, investors must evolve by leveraging artificially intelligent machines capable of extracting actionable insights buried in the nuances of language with human-level accuracy.
Our team consists of world-class technologists, AI scientists and industry veterans. Backed by a strategic partnership with IBM Watson, Accrete’s bias-free, contextually adaptive investment tools empower investors to spend less time searching for insights and more time making informed decisions. Our products help analysts and portfolio managers detect changes in nuance across key topics mentioned in earnings calls, find actionable M&A rumors, parse confusing Fed Speak and identify supply chain risk before others. At Accrete, we are leveraging expert networks, shallow and deep learning techniques to build smart investment tools that solve real-world problems and help investors generate alpha in the digital age.
This second machine age has seen the rise of artificial intelligence (AI), or “intelligence” that is not the result of
human cogitation. It is now ubiquitous in many commercial products, from search engines to virtual assistants. aI is the result of exponential growth in computing power, memory capacity, cloud computing, distributed and parallel processing, open-source solutions, and global connectivity of both people
and machines. The massive amounts and the speed at which structured and unstructured (e.g., text, audio, video, sensor) data is being generated has made a necessity of speedily processing and generating meaningful, actionable insights from it.
How is Watson Changing the Future of the Automative Industry?IBM Watson
“How is Watson Changing the Future of the Automotive Industry?” presented in Livonia, MI. Event participants were introduced to the age of cognitive computing, where cognitive analytics evaluate complex data in new ways to help solve the industry's most challenging problems. Cognitive computing has arrived, and its potential to transform the industry is momentous. Learn how cognitive solutions are being applied in the automotive industry and how industry leaders are embracing this ground breaking technology to spark the digital future.
Deloitte's report and point of view on IBM's Watson. IBM Watson, AI, Cognitive Computing are rapidly evolving technologies that can support and enhance enterprise solutions. Learn about IBM Watson the Why? and the How?
Gene Villeneuve - Moving from descriptive to cognitive analyticsIBM Sverige
As the scope of big data rapidly expands, so does the scope of the analytics that are necessary to extract insight from that data. It is simply impossible for humans or indeed rules-based engines to take that information to action. More and more, clients need analytics to make the best decisions possible; or better yet, embed those analytics into processes to automate the decision-making process, which they simply the answers based on the questions being asked at the point of impact. In order to address these rapidly evolving needs, we need to ensure the right analytics capability are deployed to suit each situation, each point of interaction and each decision point within a process. Join this session, and learn how IBM can provide a solution for the varying types of analytics: from descriptive to predictive to prescriptive to cognitive.
Bank offered rate based on Artificial IntelligenceIJAEMSJORNAL
The rise of event streaming in financial services is growing like crazy. Continuous real-time data integration and AI processing are mandatory for many use cases. Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.
An Elementary Introduction to Artificial Intelligence, Data Science and Machi...Dozie Agbo
This presentation is a friendly introduction to Artificial Intelligence, Data Science and Machine Learning. It touches on the beginnings of AI, the steps involved in Data Science, the roles involving operations on data, and the buzz around "Technology Singularity".
It ends by looking at tools and system requirements for people who might want to start a career in AI.
Have fun exploring Artificial Intelligence!
Grow smarter project kista watson summit 2018_tommy auoja-1IBM Sverige
Avicii på Tele2 arena, Drake på Globen och AIK - Luleå på Hovet bäddar för en trång lördagseftermiddag i Globenområdet... (SVT Nyheter, 1 mars 2014) ...och problemen kvarstår än idag
Talare: Tommy Auoja, Kundansvarig för Offentlig Sektor, Kontaktperson i EU projektet GrowSmarter, IBM
Presentation från Watson Kista Summit 2018
Bemanningsplanering axfood och houston finalIBM Sverige
Automatiserad budgetering – låt matematiken göra grovgörat för att säkerställa en optimerad bemanning
Talare: Niklas Westerholm, Axfood & Robert Moberg, Chief Analyst, Houston Analytics
Presentation från Watson Kista Summit 2018
File share and sync (bara) är så 2017!
Att dela filer bekvämt och säkert var bara början. Box har gått vidare till att integrera delade filer i applikationer och processflöden, och revolutionera både internt och externt arbete. Hur kan det revolutionera för dig?
Talare: Jan Hygstedt, Director Nordic, Box
Presentation från Watson Kista Summit 2018
Watson kista summit 2018 en bättre arbetsdag för de många människornaIBM Sverige
Först tvingades vi anpassa oss efter datorerna. Sedan använde vi dem för att samarbeta med varandra. Nu är det dags för datorerna att förstå oss. Vad innebär det för vår arbetsvardag?
Talare och moderator: Peter Bjellerup, Executive Consultant - Social Business, Collaboration & Knowledge Sharing, IBM
Presentation från Watson Kista Summit 2018
Iwcs and cisco watson kista summit 2018 v2IBM Sverige
Samarbeta både över tid och i realtid
Cisco Spark och IBM Connections – tillsammans! Kombinera ledaren för konversationer i realtid – text, video, individuellt och i team med branschledaren sedan sju år för internt samarbete, transparens och nätverk.
Talare: Bo Holtemann, Solution Specialist, IBM Collaboration Solutions
Presentation från Watson Kista Summit 2018
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
3. The power
of cognitive
3
Artificial intelligence
Range of techniques including natural language
processing, knowledge, reasoning and planning, for
advanced tasks
Machine learning
Statistical analysis for pattern recognition to make data-
driven predictions
Cognitive computing
Interactive decision-making and reasoning over deep
domain models and evidence-based explanations,
using artificial intelligence/machine learning tools
4. An explosion
of data
4
The Third Industrial Revolution
is upon us – an information
era where we begin to scale
human knowledge, with the
help of AI systems
2,581,586 emails are sent
every second
180 Zettabytes (180 trillion
gigabytes) of data will be
produced in 2025 – up from
10 Zettabytes in 2015
VC and PE investment in AI
technologies approached $8
billion in 2016
5. 5
Detect liabilities Anticipate and
preempt disruptions
Scale expertise
and learning
Accelerate research
and discovery
Recommend
with confidence
Enrich your
interactions
The AI
advantage
6. 6
Bradesco customer support
receives 30,000 calls per day related
to customer support – an enormous
expertise and workload challenge
With solutions from IBM Watson,
branch employees can now answer
general and complex questions
related to 59 products of Bradesco’s
retail banking portfolio – with
customer satisfaction levels of higher
than 85%
Solution covers 6,500 bank
branches, more than 60,000
employees and is developed in 100%
Brazilian Portuguese
Natural
Language
Classifier
DiscoveryDialog
Document
Conversion
AI can make
banking personal
7. 7
With AI, you can file
taxes with confidence
Conversation
Service
Discovery Tone Analyzer
Natural Language
Understanding
The US tax code is complicated,
dense, and constantly evolving –
every tax return can be filed in
multiple ways that the IRS accepts
IBM Watson is helping H&R Block’s
70,000 tax pros make sense of
74,000 pages of tax code, thousands
of yearly tax law changes, and
Block’s 600 million data points
With Watson, Block’s tax pros can
quickly create highly personalized
solutions to help individuals find
every deduction, credit, and
opportunity they deserve
8. – Take a “journey” approach, with
focus on quick wins along the way
– Articulate the demonstrable value
AI systems will create upfront
– Don’t underestimate the
importance of data – it’s the fuel
for the AI engine
– AI for business is different than AI
for the consumer
– AI helps transform companies and
industries – make sure you have
the right skills to execute
8
Key learnings
from AI adoption
11. t
“Computing will never rob a man of his initiative or
replace the need for creative thinking. By freeing
man from the more menial and repetitive forms of
thinking, computers will actually increase the
opportunities for the full use of human reason.”
-Thomas J. Watson, Jr.
Crédit Mutuel:
After a successful pilot, the use of Watson technologies has been extended to 20,000 employees across 5,000 branches to continue to strengthen customer relationships. This marks the first commercial use of Watson by a financial institution in France to assist its professionals. The bank’s customer advisors have been using Watson services in French for the past year, integrated in their business applications, as Crédit Mutuel and IBM have partnered to train and improve Watson’s French language capabilities.
The Email Analyzer will help the advisors of these branches to manage the more than 350,000 customer e-mails they receive each day. The solution allows the Bank to identify the most frequent requests, determine the level of request urgency and help its client advisors execute faster or delegate associated tasks, allowing them to accelerate and enhance responses provided to their customers.
Two Virtual Assistant applications will use Watson technology to help the advisors rapidly provide customers with information on a comprehensive set of offerings, starting with complex domains such as car and housing insurances, and the whole range of savings and investments products.
After one year of intensive training with the business experts of the bank, and after a successful pilot with 150 client advisors in 20 branches, both solutions were strongly endorsed by the pilot’s users. Working with Watson-based solutions trained with internal business knowledge has helped them free up time; improve the speed, relevance and accuracy of responses to queries; and ultimately reinforce relationships with their customers, providing more personalized attention.
Client advisors are able to find the right answers to most of their customer questions more than 60 percent faster using the Watson-based Virtual Assistant.
Intro to cognitive/AI:
This is AI for business. The consumer plays are being rolled out differently… when we’re talking about AI, we’re talking about systems that speak the language of your industry to help you gain critical insights from your data.
But what can these do for enterprise? What can AI do for your enterprise? Let’s take a look…
Data is transforming every profession. Every industry is faced with turning increasing volumes of structured and unstructured data into new, easily accessible insights. There is an acute need to become an expert in your domain – and leverage your expertise.
This explosion of data is outpacing our ability to capture it – and even more important, to make sense of it
Companies must continually improve and personalize customer experiences and applications by infusing AI
Additional data points:
80,000,000 MRIs taken every year, up from 3,000,000in 1980
600,000,000 forms of malware - with close to 400k variations introduced daily
2,200,000,000 locations generating hyperlocal weather forecasts across the globe every 15 minutes
10,000 new software vulnerabilities recorded in 2016, up 30% since 2011
500 hours of video uploaded to YouTube every minute
102,000,000 wearables were shipped last year
100,000 new cancer articles are published annually
The AI market is now estimated at $32 billion, up 16x over the last four years
Capturing this data is just the first challenge… making sense of it all – and gleaning insights from it – is critical. Let’s take a closer look at what we mean by AI systems, and what they can do for enterprise…
Accelerate research and discovery
Watson helps you conduct more thorough research faster, uncovering insights and new opportunities by combing through diverse data sources and extracting the information you find most important.
Recommend with confidence
Watson can help you make more confident, targeted recommendations by drawing from a broad set of information and understanding the nuances of your current context.
Enrich interactions
Watson can understand and communicate with your customers and employees 24/7, responding to their needs with personalized, adaptive experiences.
Detect liabilities and mitigate risk
Watson understands the written language of regulations, reports, and new findings (and the visual language of quality control), ensuring that your business stays up to date and protected.
Anticipate and preempt
Watson monitors your systems and immediately alerts you if any issues arises that could lead to bigger, more expensive problems down the road.
Scale expertise and learning
Watson elevates the expertise of every employee by collecting individual know-how from across your organization, combining it with the latest lessons learned in your industry, and making all of that knowledge available to all of your employees on-demand.
We are accumulating more data than ever before, and most of it is locked away in silos and inaccessible to traditional computing systems – it is unstructured and in natural language. 80% of it is dark – it isn’t understandable by the systems we’ve been operating with operating on for decades.
This data, then, becomes the critical currency of business today. Insights derived from it will produce value, and cognitive systems can produce those insights. We expect cognitive to be built into virtually every digital thing – applications, products, processes…
AI is best understood as “augmented intelligence” – platforms and solutions than enhance our expertise and help us be more productive, make better decisions, and see the bigger picture in the work we do. AI systems in enterprise are about adding value for knowledge workers.
AI will do more than improve offerings and redefine how professions and entire industries do business – it can help us tackle some of societies biggest challenges, from population health to education
AI solutions must be conceived as “human + machine.” This is about augmenting our intelligence, not replacing humans in the workforce. Look for a rise in “new collar” jobs that are compatible with the emerging digital economy.
AI is at work in many industries…
Take a look at how AI is at work in many industries…
Manufacturing: Predictive manufacturing on factory equipment in a facility
Insurance: Automation of consumer car insurance filing claims; up-to-the minute knowledge of condition of liabilities available through AI systems
Pharmaceuticals: Optimization of R&D resource allocation for a portfolio of drug candidates in a clinical trial
Financial services: Automated customer interactions with retail banking chatbots in natural language
Healthcare: Oncologists and researchers can harness enormous volumes of clinical trial data, patient history, genomic research, and drug specifics to provide targeted care, at scale
Successful enterprises are incorporating some of these technologies we’ve discussed. Let’s take a look at a few more - and why they’re important…
Video: https://www-01.ibm.com/common/ssi/cgi-bin/ssialias?htmlfid=BKV12367USEN
“Our belief is that people and technology have to go hand in hand… And now we can reach satisfaction levels of higher than 85%. Believe it - the hype is true. Watson exceeded expectations.” — Luca Cavalcanti, Director of Digital Channels, Bradesco Bank
Bradesco is the largest personal banking institution in Brazil. One of Bradesco’s primary challenges is to deliver cutting-edge customer support to a young a vibrant and young Brazilian market. Bradesco customer support receives 30,000 calls per day related to customer support (that’s 3750 calls per hour, 60 calls per minute). These calls come from personal bankers and customers alike.
In order to better service customer Bradesco tuned to Watson and now uses a number of our generally available Watson services (Natural Language Classifier, Dialog, Document Conversation and Retrieve and Rank) along with custom cognitive assets to enable their call center agents and branch employees to answer banking portfolio questions.
Bradesco is the first bank in Brazil to leverage Watson and the first company in the world to teach Watson Brazilian Portuguese. Bradesco’s Watson solution currently allows branch employees to answer general and complex questions related to 59 products of Bradesco’s retail banking portfolio. Its Watson use case covers 6,500 bank branches, more than 60,000 employees and is developed in 100% Brazilian Portuguese
Cognitive banking: https://www-935.ibm.com/industries/banking/the-cognitive-bank/
Dimensions of the cognitive bankDeeper contextual engagementNew analytic insights Enterprise transformation
Internal Community: https://w3-connections.ibm.com/wikis/home?lang=en-us&spMailingID=27798847&spUserID=MzIzMTUzNjA1Mjg3S0&spJobID=981490755&spReportId=OTgxNDkwNzU1S0#!/wiki/W9d6c1069a159_40a3_a3ec_187b00f55c3f/page/Watson%20and%20H%26R%20Block%20Partnership
https://www.ibm.com/watson/stories/taxes.html
https://www.ibm.com/blogs/cloud-computing/2017/03/watson-hr-block-engaging-customer/
NYT: https://www.nytimes.com/2017/02/01/technology/ibm-watson-tax-return.html?_r=0
74,000 pages of tax law in the U.S.: Complex and difficult to understand for individuals, changes yearly
Clients may be eligible for deductions and incentives that they weren’t aware of, and the tax professional might not be aware to ask about
All this makes it ideally suited to Watson’s strengths
Block has 70,000 tax professionals working at 10,000 offices nationwide. In 2015, they helped to prepare 24.2 million returns.
With Watson, Block now offers a new cognitive experience for filers offered this tax season at H&R Block retail locations. The solution uses cloud-based Watson services to understand context, interpret intent and draw connections between clients’ statements and relevant areas of their return.
As Watson learns more about navigating the tax code from H&R Block tax professionals, those learnings will stay with H&R Block and improve the value it delivers to tax filers.
Data sources and quality
Data sources and data quality are crucial – data diversity, how it’s curated are key
Managing BIG data
The volumes of data needed to train AI systems and gain insights require new strategies of data curation and management. Cloud solutions are a must. The most valuable curating and training is not done by your IT staff, but rather by the experts in YOUR field.
It matters where the data lives
It matters where the data resides and who controls it – this is at once an IP concern, a security problem, and an institutional challenge to corral their own data. Data is a valuable resource.
Training vs. programming
AI systems need to learn the vernacular of the topic at hand. They need to learn the relationships among the different elements of that topic. And they must learn how to understand intent based on context.
Cloud/cognitive
Cognitive and cloud are not separate phenomena – they are two sides of the same coin
Overcoming human biases
AI solutions that can ingest and understand vast quantities of data help overcome human biases that exist in literally every industry – esp. key in cancer/healthcare, law, banking etc. Cognitive systems ingest, understand, and recommend; the human knowledge worker decides.
Creating value
What value can AI systems create for the enterprise? They want valuable business outcomes. Can they get increases in productivity, reduction in cost, higher revenue, better customer care, etc. from the right AI solutions?
Managing data at the scale of AI solutions is a new problem – and requires new solutions
Cognitive and cloud are two sides of the same coin
AI solutions can overcome human biases
AI systems must create value
Skill positions
Solution Architect: Enterprise architect that develops and creates architecture, models and integrated enteprise solution
Cognitive Consultant: Ensure that the application and deployed process is suited for the business problem and the end user
Cognitive Engineer: Develops and trains the cognitive system
Data Scientist: Focused on the data - development, curation, maurity, evolution
SME: Expert on the process, content, domain
Process Owner: Owner of the process being transformed
End User: Real end user that will use, leverage the application being built