The document discusses how AI, through technologies like machine learning and deep learning, can augment human capabilities by performing repetitive tasks and organizing information to free up human time and creativity. It describes Microsoft's focus on developing AI that empowers organizations and solves societal problems. Key applications of AI in banking discussed are providing personalized customer experiences across channels at scale while maintaining security, privacy and compliance. The challenges of meeting rising customer expectations, competing with new entrants and rebuilding trust after the financial crisis are also summarized.
9 Technology Mega Trends That Will Change The World In 2018 | PowerPoint Pres...Graphi Tales
Some tech trends fizzle out and die a quiet death, while others are so significant that they transform our world and how we live in it. Here are the top nine tech mega-trends that I believe will define 2018 and beyond.
Trend 1: CITIZEN AI
Raising AI to Benefit Business and Society
Trend 2 EXTENDED REALITY
The End of Distance
Trend 3 DATA VERACITY
The Importance of Trust
Trend 4 FRICTIONLESS BUSINESS
Built to Partner at Scale
Trend 5 INTERNET OF THINKING
Creating Intelligent Distributed Systems
“IT Technology Trends in 2017… and Beyond”diannepatricia
William Chamberlin, IBM Distinguished Market Intelligence Professional, presented “IT Technology Trends in 2017… and Beyond” as part of the Cognitive Systems Institute Speaker Series on January 26, 2017.
Our overarching theme is the continued rise of what we call brand commerce. This world of brand commerce manifests in a number of ways, each of which we see as being underpinned by a series of sub trends with their own challenges and opportunities and this is what we unpack in our trend report. Broadly speaking, we cover four key areas:
1. The rise of artificial intelligence. It’s fast becoming a constant part of our lives and we’re starting to see the transition on behalf of consumers out of being surprised by these highly predictive and tailored interactions and into minimum expectation territory. In other words, if you’re not getting clever about how you use your data and automating the application of it, you’re going to get left behind.
2. The on-demand economy. A new economy is growing up based on fulfilling the needs and expectations of the new on-demand consumer. This is the Uber model applied across a host of other industries, creating a flexible, on-demand workforce, enabled by mobile and powered by a new currency – trust. [https://www.youtube.com/watch?v=kTqgiF4HmgQ].
3. Invisible interfaces. What we commonly understand to be an ‘interface’ will dramatically shift over the next few years as we experience the rise of the invisible interface and we’ll see more and more sophisticated interactions, from authentication to transaction, taking place with minimal conventional interaction.
4. The new storytelling. It almost goes without saying, but all this juicy data and unprecedented connectivity of consumers presents us with some pretty spectacular opportunities for reinvigorating brand narratives in ways which are highly tailored and meaningful to customers.
The C-Suite Playbook on Artificial Intelligence Justin Flitter
Curated by NewZealand.ai with IBM, Clearpoint, AUT, Hudson Gavin Martin and the AI Forum of NZ to help leaders create AI capable organisations, empowered to leverage this evolving technology.
201904 How will AI and machine learning transform local search and SMBs? Simon Greenman
From the SIINDA localcomm 2019 conference. We’re currently experiencing an AI gold rush. Billions are being invested. AI startups abound. Google, Amazon, and Microsoft are duking it out for AI supremacy. Corporations are scrambling to ensure they adopt AI ahead of their competitors while looking over their shoulder at startups. And countries are vying for AI supremacy. The question is where does local fit into this new frontier. This session will provide a non-technical introduction to AI and show how value is being created across industries and functions. It will take a deep dive into local and show how AI can be used to drive sales, marketing and customer service; drive efficiencies; deeper insights and competitive differentiation. Weaving in practical case studies it will also look at how the tech giants are becoming AI first companies.
9 Technology Mega Trends That Will Change The World In 2018 | PowerPoint Pres...Graphi Tales
Some tech trends fizzle out and die a quiet death, while others are so significant that they transform our world and how we live in it. Here are the top nine tech mega-trends that I believe will define 2018 and beyond.
Trend 1: CITIZEN AI
Raising AI to Benefit Business and Society
Trend 2 EXTENDED REALITY
The End of Distance
Trend 3 DATA VERACITY
The Importance of Trust
Trend 4 FRICTIONLESS BUSINESS
Built to Partner at Scale
Trend 5 INTERNET OF THINKING
Creating Intelligent Distributed Systems
“IT Technology Trends in 2017… and Beyond”diannepatricia
William Chamberlin, IBM Distinguished Market Intelligence Professional, presented “IT Technology Trends in 2017… and Beyond” as part of the Cognitive Systems Institute Speaker Series on January 26, 2017.
Our overarching theme is the continued rise of what we call brand commerce. This world of brand commerce manifests in a number of ways, each of which we see as being underpinned by a series of sub trends with their own challenges and opportunities and this is what we unpack in our trend report. Broadly speaking, we cover four key areas:
1. The rise of artificial intelligence. It’s fast becoming a constant part of our lives and we’re starting to see the transition on behalf of consumers out of being surprised by these highly predictive and tailored interactions and into minimum expectation territory. In other words, if you’re not getting clever about how you use your data and automating the application of it, you’re going to get left behind.
2. The on-demand economy. A new economy is growing up based on fulfilling the needs and expectations of the new on-demand consumer. This is the Uber model applied across a host of other industries, creating a flexible, on-demand workforce, enabled by mobile and powered by a new currency – trust. [https://www.youtube.com/watch?v=kTqgiF4HmgQ].
3. Invisible interfaces. What we commonly understand to be an ‘interface’ will dramatically shift over the next few years as we experience the rise of the invisible interface and we’ll see more and more sophisticated interactions, from authentication to transaction, taking place with minimal conventional interaction.
4. The new storytelling. It almost goes without saying, but all this juicy data and unprecedented connectivity of consumers presents us with some pretty spectacular opportunities for reinvigorating brand narratives in ways which are highly tailored and meaningful to customers.
The C-Suite Playbook on Artificial Intelligence Justin Flitter
Curated by NewZealand.ai with IBM, Clearpoint, AUT, Hudson Gavin Martin and the AI Forum of NZ to help leaders create AI capable organisations, empowered to leverage this evolving technology.
201904 How will AI and machine learning transform local search and SMBs? Simon Greenman
From the SIINDA localcomm 2019 conference. We’re currently experiencing an AI gold rush. Billions are being invested. AI startups abound. Google, Amazon, and Microsoft are duking it out for AI supremacy. Corporations are scrambling to ensure they adopt AI ahead of their competitors while looking over their shoulder at startups. And countries are vying for AI supremacy. The question is where does local fit into this new frontier. This session will provide a non-technical introduction to AI and show how value is being created across industries and functions. It will take a deep dive into local and show how AI can be used to drive sales, marketing and customer service; drive efficiencies; deeper insights and competitive differentiation. Weaving in practical case studies it will also look at how the tech giants are becoming AI first companies.
AI & India : The potential to be the next global centre of innovationUmakant Soni
The combination of a large and rapidly growing mobile-internet connected population along with startups being able to access their data along with open-source intelligence research means they can leverage decades of research, apply it to data, and pipe the results to build context-aware, predictive and extremely personalised business models.
This can be built on intelligent process automation and forecasting frameworks for speed and precision. Overall, these businesses will have potential for step-changes in operational efficiency and effectiveness in understanding and fulfilling customer needs.
This is especially so in India, where small screens on many smartphones can create vast pools of data to power AI. By further automating business decisions through machine learning, and surfacing them through smart, intelligent interfaces, these startups will disrupt older technologies and traditional businesses – based on heuristical approaches – and can emerge as “new category leaders”.
We have spent the last three months speaking with over 40 leading Artificial Intelligence (AI) and Machine Learning (ML) companies in Europe and Israel to gain detailed insight and understanding of the development of the market and the future direction
We are pleased to share our work and findings with you and the broader community.
You can read our report ‘International AI and ML Landscape’ here.
Therefore in order to acknowledge some of the greatest contributors of excellence in ICT solutions space, Insights Success has shortlisted “The 10 Most Innovative ICT Disruptors to watch in 2019”
Nine Business & Technology Trends impacting 2018 and beyond.Dileep Srinivasan
This presentation discusses the global business and technology trends that will shape the coming decade. With AI, Robotics and Blockchain penetrating every industry, there will be far reaching implications to countries worldwide.
We could also see new leaders worldwide in the next decade, shifting the balance of power from developed countries to others.
Turning AI into Concrete Value: The Successful Implementers' ToolkitCapgemini
A Capgemini study of nearly 1,000 organizations implementing Artificial Intelligence highlights the growth opportunity of AI and counters fears that AI will cause massive job losses in the short term.
Un estudio reportado por la Harvard Business Review muestra las tres estrategias encontradas para explotar totalmente las capacidades de Big Data y Analytics en una organización, estas son: 1) identificar, combinar y manejar múltiples fuentes de datos. 2) Construir modelos analíticos avanzados para predecir y optimizar resultados. 3) Transformar las capacidades de la organización de tal forma que los datos utilizados y el análisis de los mismos lleven a tomar mejores decisiones. El modelo de Cloud computing sirve para cada uno de las capacidades anteriormente mencionadas.
The 4 Top Artificial Intelligence Trends For 2021Bernard Marr
Artificial Intelligence (AI) has been a mega-trend in 2020. The current pandemic has only accelerated the relevance and adoption of AI and machine learning. Here we look at some of the top AI trends for 2021.
This presentation was done for our term paper where we went to two organizations namely Shwapno and The City Bank ltd of Bangladesh and conducted survey on the employees about how they were using their information systems and how much comfortable they were. a brief discussion of information systems is provided here with a discussion on nformation systems in perspective of Bangladesh.
In partnership with IDG, our 2022 Insight Intelligent Technology™ Report examines how companies are making progress on long-term IT strategies to meet the changing, post-pandemic expectations of their businesses, their employees, and the market more broadly.
The Internet of Things: P&C Carriers & the Power of DigitalCognizant
As P&C carriers struggle to achieve and maintain profitable growth, they must prepare for and stay in step with advancements in digital technologies. The Internet of Things (IoT) and its network of connected devices and objects makes it possible for carriers to transform how they communicate, collaborate, and operate, and strengthen their capabilities in a number of key areas.
The 5 Biggest Future Technology Trends: Accenture Reveals Their Vision Of Pos...Bernard Marr
What are the key technology trends that will disrupt the next three years? Every year, Accenture produces its technology vision report to predict the tech trends that every company should watch. Here we look at their 2019 research and their top five predictions.
The 5 Biggest Mistakes Companies Make With ChatbotsBernard Marr
We are now used to talking to machines, and the latest chatbots are impressively human-like. However, when companies deploy natural language processing, they should be aware of these five mistakes.
2019’s Leading Fintech Companies to Watch, The role of FinTech in businesses or institutions is impossible to eliminate. this greatness of Fintech industry
AI & India : The potential to be the next global centre of innovationUmakant Soni
The combination of a large and rapidly growing mobile-internet connected population along with startups being able to access their data along with open-source intelligence research means they can leverage decades of research, apply it to data, and pipe the results to build context-aware, predictive and extremely personalised business models.
This can be built on intelligent process automation and forecasting frameworks for speed and precision. Overall, these businesses will have potential for step-changes in operational efficiency and effectiveness in understanding and fulfilling customer needs.
This is especially so in India, where small screens on many smartphones can create vast pools of data to power AI. By further automating business decisions through machine learning, and surfacing them through smart, intelligent interfaces, these startups will disrupt older technologies and traditional businesses – based on heuristical approaches – and can emerge as “new category leaders”.
We have spent the last three months speaking with over 40 leading Artificial Intelligence (AI) and Machine Learning (ML) companies in Europe and Israel to gain detailed insight and understanding of the development of the market and the future direction
We are pleased to share our work and findings with you and the broader community.
You can read our report ‘International AI and ML Landscape’ here.
Therefore in order to acknowledge some of the greatest contributors of excellence in ICT solutions space, Insights Success has shortlisted “The 10 Most Innovative ICT Disruptors to watch in 2019”
Nine Business & Technology Trends impacting 2018 and beyond.Dileep Srinivasan
This presentation discusses the global business and technology trends that will shape the coming decade. With AI, Robotics and Blockchain penetrating every industry, there will be far reaching implications to countries worldwide.
We could also see new leaders worldwide in the next decade, shifting the balance of power from developed countries to others.
Turning AI into Concrete Value: The Successful Implementers' ToolkitCapgemini
A Capgemini study of nearly 1,000 organizations implementing Artificial Intelligence highlights the growth opportunity of AI and counters fears that AI will cause massive job losses in the short term.
Un estudio reportado por la Harvard Business Review muestra las tres estrategias encontradas para explotar totalmente las capacidades de Big Data y Analytics en una organización, estas son: 1) identificar, combinar y manejar múltiples fuentes de datos. 2) Construir modelos analíticos avanzados para predecir y optimizar resultados. 3) Transformar las capacidades de la organización de tal forma que los datos utilizados y el análisis de los mismos lleven a tomar mejores decisiones. El modelo de Cloud computing sirve para cada uno de las capacidades anteriormente mencionadas.
The 4 Top Artificial Intelligence Trends For 2021Bernard Marr
Artificial Intelligence (AI) has been a mega-trend in 2020. The current pandemic has only accelerated the relevance and adoption of AI and machine learning. Here we look at some of the top AI trends for 2021.
This presentation was done for our term paper where we went to two organizations namely Shwapno and The City Bank ltd of Bangladesh and conducted survey on the employees about how they were using their information systems and how much comfortable they were. a brief discussion of information systems is provided here with a discussion on nformation systems in perspective of Bangladesh.
In partnership with IDG, our 2022 Insight Intelligent Technology™ Report examines how companies are making progress on long-term IT strategies to meet the changing, post-pandemic expectations of their businesses, their employees, and the market more broadly.
The Internet of Things: P&C Carriers & the Power of DigitalCognizant
As P&C carriers struggle to achieve and maintain profitable growth, they must prepare for and stay in step with advancements in digital technologies. The Internet of Things (IoT) and its network of connected devices and objects makes it possible for carriers to transform how they communicate, collaborate, and operate, and strengthen their capabilities in a number of key areas.
The 5 Biggest Future Technology Trends: Accenture Reveals Their Vision Of Pos...Bernard Marr
What are the key technology trends that will disrupt the next three years? Every year, Accenture produces its technology vision report to predict the tech trends that every company should watch. Here we look at their 2019 research and their top five predictions.
The 5 Biggest Mistakes Companies Make With ChatbotsBernard Marr
We are now used to talking to machines, and the latest chatbots are impressively human-like. However, when companies deploy natural language processing, they should be aware of these five mistakes.
2019’s Leading Fintech Companies to Watch, The role of FinTech in businesses or institutions is impossible to eliminate. this greatness of Fintech industry
Insights Success is the Best Business Magazine in the world for enterprises, being a platform it focuses distinctively on emerging as well as leading fastest growing companies, their confrontational style of doing business and way of delivering effective and collaborative solutions to strengthen market share. Here, we talks about leader’s viewpoints & ideas, latest products/services, etc. Insights Success magazine reaches out to all the ‘C’ Level professional, VPs, Consultants, VCs, Managers, and HRs of various industries
Five Converging Forces that Are Driving Technological EvolutionCognizant
The digital era is catalyzing business, unleashing technological change that may appear chaotic on the surface but is resulting in massively powerful systems of intelligence that enable humans and machines to collaborate securely.
The Tech Vision 2015 maps out five key IT trends: The Internet of Me, Outcome Economy, Platform (R)evolution, Intelligent Enterprise and Workforce Reimagined. How to sum it all up? It’s not just about you - or me, or anyone else in particular. It’s about all of us - The “We” Economy. http://www.accenture.com/technologyvision
How can AI & Automation make your business processes intelligentMindfields Global
Enterprises gain a deeper understanding of their processes as they progress further into their automation journey. Exploring the connection between AI, automation and understanding how these technologies help make your business processes intelligent is a necessary next step.
Digital disruption webinar oxford universityZoodikers
A webinar delivered at Said Business School, The University of Oxford, looking at digital transformation, social business, AI and much more.
Delivered to an audience of CMOs and CPOs, looking at how AI impacts all industries and business functions.
In recent years AI and ML capabilities have advanced exponentially, blurring the line between fantasy and reality, thus creating an unparalleled market opportunity for whoever can bring the technology to eager consumers.
Today there is an abundance of demand for more intelligent and human-like behavior and technology on the market, and now we have concrete ways to fill that demand. Everybody’s playing, but only some will strike it rich.
This edition is an exploration on how to incorporate AI to products and services in a very real and organic way. Dive in and let’s take a look!
Unlock the future of AI/ML services with our insights into the 9 key trends shaping 2024. From advanced neural networks to ethical AI practices, stay ahead with cutting-edge innovations. Discover how Mooglelabs is revolutionizing AI/ML services to drive efficiency, enhance customer experiences, and propel businesses into the future.
The Future of Work in the Information AgeTrefor Smith
The combined influence of new technologies, new generations with their refreshing attitudes to more traditional workplace ways, and an abundance of data on our behaviour has, and continues to
To help prepare for the next phase of work, I examined ten key trends in workplace culture and outlined how they can help you and your team in the years to come.
Cognizant Community 2016: Mastering Digital: How to Navigate the Shift to the...Cognizant
For more than a decade, this unique event has provided busy executives with an opportunity to exchange ideas and insights both with each other and with acclaimed subject matter experts on the panoply of topics critical to advancing their business objectives today — and tomorrow.
Top 10 Digital Transformation Trends for 2017Daniel Newman
Digital transformation reshapes every aspect of a business. As digital technology continues to evolve, I believe that successful digital transformation will require careful collaboration, thoughtful planning, and the inclusion of every department.
During recent years, we’ve seen shifts in how traditional leadership roles operate, as silos break down and the scopes of various roles widen and change. Digital transformation has morphed from a trend to a central component of modern business strategy.
With enterprises putting digital at the core of their transformation, our annual Data Science & AI Trends Report explores the key strategic shifts enterprises will make to stay intelligent and agile going into 2019. The year was marked by a series of technological advances, including advances in AI, deep learning, machine learning, hybrid cloud architecture, edge computing (with data moving away to edge data centres), robotic process automation, a spurt of virtual assistants, advancements in autonomous tech and IoT.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
2. We are not simply
building individual tools,
but rather designing an
intelligent fabric based
on four principles—
collaboration, mobility,
intelligence, and trust.
Satya Nadella
CEO
Microsoft 2016 Annual Report
4. Introduction
MICROSOFT’S MISSION is to empower every
person and every organization on the planet
to achieve more.
While popular culture has defined AI as artificial intelligence,
when viewed through the lens of our mission, we believe the
term augmented intelligence is far more accurate. The
combination of machine learning, deep learning technology,
bots, and intelligent agents on a powerful cloud computing
platform has ushered in a new era of computing that’s
defined not so much by what machines can do
independently or as human substitutes, but rather by how
they can amplify human will and action as tireless auxiliaries
in countless arenas.
We must recognize this new kind of computing both for
what it is and what it is not.
AI is not merely a new tool. It’s a radical shift that makes
technology what it always should have been—ubiquitous yet
invisible and intuitive to use.
AI is not about replacing humans. It’s about harnessing
humanity’s collective knowledge and experiences to make
better decisions and enrich how we understand and relate to
each other and our shared world.
AI is not about robots. It’s about making life easier with
intelligent services that anticipate our needs, organize our
environment, and perform time-consuming repetitive tasks,
freeing humans to be more creative and productive.
Be trustworthy
Privacy, security, and transparency
must be balanced with the desire
for efficiency to foster trust among
businesses, customers, and machines.
Be empowering
Join the creativity and empathy of
people with the speed and power
of technology to conserve our most
valuable resource: time.
AI innovation principles
Be respectful and inclusive
Experiences must be designed to
include all the world’s cultures,
situations, and abilities in our
complex, global environment.
5. Disruption will not be a
one-time event, rather a
continuous pressure to
innovate that will shape
customer behaviors,
business models, and the
long-term structure of the
financial services industry.
World Economic Forum
The Future of Financial Services, June 2015
6. FIFTY YEARS AGO, MIT introduced the world to ELIZA, the ancestor of today’s chatbots. ELIZA captured the
imagination of millions and ignited a revolution in human-computer interaction. Fast-forward to 2016. Microsoft
and other industry leaders have made significant advances in AI. For example, Microsoft’s deep learning-based
language translation in Skype was recently named one of the seven greatest software innovations of the year
by Popular Science.
Science nonfiction
A brief history of AI
The past 20 years
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
IBM’s Deep Blue defeats
Garry Kasparov in a 6-game
set, the first time a
computer defeated a
reigning world champion in
regular play.
Toyota brings Intelligent
Parking Assist to market,
providing a glimpse of our
autonomous vehicle future.
A chatbot passes the Turing
Test by convincing 1 in 3
judges that it was a 13-year-
old non-native-English-
speaking Ukrainian boy.
Amazon launches Echo, a
voice-controlled, internet-
connected hub for the
home.
MIT develops Machine
Vision that can identify
human emotions through
facial expressions.
Researchers at MIT, NYU,
and the University of
Toronto develop a
computer system that
passes the Visual Turing
Test.
Microsoft researchers create
a system that reaches
human parity in
conversational speech
recognition.
Microsoft launches real-
time language translation
as part of Skype.
The first commercially
available voice interface is
introduced by Nuance..
Microsoft launches Kinect,
an immersive natural user
interface, reimagining how
humans control machines.
Apple launches Siri, a
conversation interface and
intelligent agent.
Facebook M, the social
network’s text-based virtual
assistant, is released.
Using neural nets, a
computer vision system
developed by a team from
Microsoft outperforms a
human on the ImageNet
challenge.
An MIT algorithm passes the
Auditory Turing Test.
Microsoft rolls out the first
Bot-as-a-Service offering.
Most people don’t understand just
how quickly machine intelligence
is advancing; it’s much faster than
almost anyone realized, even
within Silicon Valley.
Elon Musk
Vanity Fair’s New Establishment Summit,
October 2014
7. Augmented Intelligence
Language
Speech
Search
Machine
Learning
Knowledge Vision
FINANCIAL SERVICES ORGANIZATIONS have been tangling with data since the very beginning, pioneering the use of
analytics to derive insights for creating better, more profitable business models. But as we look ahead, the most
impactful data-driven solutions will go well beyond analytics, and will include built-in intelligence based on
deep learning technology that augments an organization’s capabilities in compelling new ways. Solutions that
see, hear, speak, and understand our needs and emotions—using natural methods of communication, enhanced
by vast amounts of data from sources as varied as search engines, news, videos, and more—will transform every
aspect of the business.
See
Identify faces, text, and
objects to empower
machines to continuously
survey their surroundings.
Hear
Recognize voices,
languages, key phrases
and topics to rapidly
convert speech to text.
Speak
Seamlessly convert text
to speech to enable a
natural two-way dialog
with technology.
Understand
Contextually infer intent
and sentiment to
personalize interactions
and recommendations.
Beyond analytics
At Microsoft, we are investing in AI and machine learning
and making it the core of our strategy. We recently created
a new AI and Research group of more than 5,000
researchers and engineers dedicated to developing
advances in AI that will build on nearly two decades of
progress in machine learning and natural language
processing.
To put the maturity and power of Microsoft’s AI
infrastructure into perspective, it can translate War and
Peace from Russian to English in 2.6 seconds, an eight-fold
improvement over non-AI powered technology.
Our ultimate goal, however, isn’t to develop AI that does
neat tricks. It is to empower every person and organization
on the planet to use AI to solve the most pressing
problems of our society and economies. Because of this,
we are working closely with business leaders in financial
services and other industries to identify the scenarios
where AI-based solutions can make the greatest difference.
8. Empowered customers are clearly a part of today’s industry
landscape. Retail and institutional customers are more informed
than ever, increasingly mobile, and expect consistent service
across channels. Trust has also been eroded. As a result, there is
increased pressure for new customer engagement models,
transparency, and the ability to demonstrate business integrity.
It is an unprecedented time for the industry with extremely
high regulatory scrutiny. As the financial services sector seeks
ways to drive product, service, and business model innovation
and address the cost reduction imperative, the cloud clearly
offers a compelling opportunity for a new era of agility,
especially given its potential to scale on demand. But at the
same time, trust is a critical concern. Cloud solutions must meet
the sector’s high standards for data security, privacy, and
regulatory compliance, just as the frequency and sophistication
of cyberattacks grow and become the “new normal.”
Technology is an intrinsic part of the financial services
business. However, the gap between customer expectations and
adoption of new technology (while maintaining current system
capabilities) is widening. Financial institutions are also finding it
increasingly difficult to compete with new entrants from
adjacent industries such as internet-only services,
telecommunications, and retail. Indeed, new entrants are
pushing the innovation envelope, offering lower pricing and
improved customer experiences by capitalizing on technology.
A challenging
landscape
GLOBAL DIGITIZATION combined with unprecedented
disruption to the financial services business model are
mandating action. Game-changing technologies are fueling
transformation and enabling a wave of innovation to meet
new client expectations, improve transparency, and create
sustainable competitive advantage vis-à-vis non-traditional
industry entrants.
9. The digital and branch
experiences are merging.
While customers are increasingly global
and mobile, they expect transparent,
intuitive, and consistent service anytime,
anywhere. This means today’s leading
financial institutions must find ways to
better understand their customers and
efficiently expand services if they want to
be industry leaders tomorrow.
According to a 2015 Capgemini report, 65%
of affluent individuals will leave their
current wealth management firm if an
integrated channel experience is not
provided.
PARADOX ONE
Increasing the level of
customer engagement
without increasing costs.
Trust is returning—
but is still relatively low.
Due to the global financial crisis of 2007
and 2008, financial services organizations
are experiencing a significant trust gap.
Because trust is the foundation of long-
term customer value, leading financial
institutions must return to their roots by
privileging personal relationships to earn
back trust.
Per the 2016 Edelman Trust Barometer,
from 2012 to 2016, global trust in financial
services has risen by 8% to 51%—the
largest increase of any industry surveyed—
but it remains the lowest overall.
PARADOX TWO
Making every interaction
personal, relevant, compliant—
and at scale.
Innovation and agility have
become imperatives.
As competitive pressures increase and
technology cycles accelerate, financial
institutions need to rapidly enter new
markets, engage new customers, and
develop new business models. To do so,
legacy technology must be transformed
and integrated thoughtfully to avoid
incurring costly technical debt.
In the U.S., 23.5 million households were
unbanked or underbanked in 2015 (FDIC),
while a staggering 2 billion adults
globally were found to be unbanked in
2014 (World Bank).
PARADOX THREE
Investing in new markets and
business models with less risk
and more confidence.
Three paradoxes
HOW ARE FINANCIAL INSTITUTIONS to make sense of these trends, the inherent contradictions of which appear to
defy resolution? How are they to engage customers without increasing costs, reestablish trust through personal
interactions at scale, and drive innovation with more confidence and less risk? It may be paradoxical, but with AI it
is increasingly possible for financial services organizations to have it both ways—and ultimately achieve new
growth and prosperity.
10. How wonderful that
we have met with a
paradox. Now we
have some hope of
making progress.
Niels Bohr
11. Great customer experience and efficient operations are not mutually
exclusive. Bots and intelligent assistants are natural solutions for the first
wave of customer contact. Much like how interactive voice response (IVR)
transformed inbound service calls, AI can intercept and handle common,
straightforward issues through chat and messaging services so customers
can quickly and independently resolve simple issues that would otherwise
have required human intervention.
Conversation is now a service near you. Imagine, instead of looking
through multiple apps or pages of websites, you could simply ask a
question through a conversational interface you already use. Think of these
services as bots. Bots are the new apps, and digital assistants are the new
browsers. In this way, all interactions are infused with intelligence. A bot can
be built once and connect across multiple communication services such as
text messaging, email, LinkedIn, Facebook, Skype, Slack, kik, web chat, and
Office 365.
Reach people where they are and engage them conversationally,
contextually, and naturally. By gathering information through dialogue
and understanding context via emotional cues, bots can easily escalate and
route the most complex and sensitive conversations to humans for
resolution.
ONE
Paradox
Increasing customer
engagement without
increasing costs
12. WE ENVISION A RICH ECOSYSTEM of conversations: people communicating with other people, people
communicating with personal digital assistants, people communicating to bots, and even personal digital
assistants calling bots on your behalf.
When bots and customer service reps work together to help customers answer their questions, they improve
customer experience and loyalty. And because AI scales to meet demand virtually without limit, employees can
spend more of their time on higher priority customer interactions, resulting in both cost savings and service
quality benefits. What’s more, according to the latest research, people actually prefer engaging with machines
instead of people in certain scenarios. This is how we tackle our first paradox, producing a win-win for customer
engagement and the business bottom line.
The financial services industry is already realizing how bot applications can bring value to several aspects of
customer engagement, such as those listed below. Anticipate a future in which bots, whether out in front or
behind the scenes, underpin the vast majority of interaction points along the customer journey. For example:
Increasing customer
engagement without
increasing costs
• Internal knowledge base bots
that help employees search
documents, policies, and locate
customer information.
• Self-service chatbots that answer
customers’ questions and direct
them to the best resources for
further assistance in scenarios
such as customer onboarding,
fraud prevention, and credit card
loss.
• Transactional bots that answer
simple questions and send alerts
for flagged events, such as when
a mortgage payment is due or
when a trading order closes.
• Recommendation bots that ask
decision-tree questions such as
“What are you saving for?” or
“How much do you want to save
each month?” to propose savings
products to customers.
• Secure authentication bots that
handle automated authentication
through secure channels to
complete transactions.
• Loyalty card bots that send alerts
to help customers manage status
points and take advantage of
special offers.
89% of consumers want to
engage in conversation with
virtual assistants to quickly
find information instead of
searching through Web
pages or a mobile app on
their own.
Source: Opus Research and Nuance
Communications, 2016
13. TODAY’S FINANCIAL SERVICES CUSTOMERS, especially the millennials
among them, have come to expect highly personalized experiences,
which are hard to support with disconnected channels and systems.
With the rising bar of customer expectations, the need for quick,
secure, and highly personalized solutions in personal finance
management is paramount.
Financial services organizations increasingly require advanced
intelligence capabilities for sales and service personnel that enable
customer insights and pull data across widely used CRM, web, social,
and IoT sources to provide a 360-degree view of the customer, as
well as to offer automatic suggestions to improve engagement.
Tools such as sentiment analysis further augment the ability of the
financial services sales professional to assess the likelihood of deal-
closing and the next best action to take.
Contextual insights can be delivered at scale to employees to help
them prioritize their day, engage customers, identify opportunities,
and remain compliant. This empowers them to do what they do best:
build long-term rapport and trust by confidently helping customers
solve their most important financial challenges.
TWO
Paradox
Making every interaction
personal, relevant,
compliant—and at scale
14. Making every interaction personal,
relevant, compliant—and at scale
THIS BRINGS US TO OUR SECOND PARADOX: despite the increasing speed, complexity, and scale of the financial
services industry, solutions are at hand to bring it under control and make it all personal and relevant again.
Consider the following financial services scenarios:
• Obtaining a 360-degree view of
the customer and using automatic
suggestions to improve or advance
engagement. The next best action
capabilities that make this possible
leverage advanced machine
learning algorithms to consume
customer data from CRM systems,
understand customer sentiment,
and generate relevant and targeted
offers with full omni-channel
orchestration.
• Accessing immediate status of
customer relationships,
preferences, and needs. Solutions
for real-time insights incorporate
tools such as sentiment analysis to
help you assess the likelihood of a
deal closing or the level of a
customer’s loyalty. Personally
tailored encounters can engage and
delight customers with information
and offers that are relevant to them.
Additionally, they can generate
cross-sell and upsell opportunities
with a higher likelihood of
acceptance, resulting in increased
wallet share.
• Managing regulatory changes and
compliance. Automate legal and
disclosure communications,
documentation, and record keeping
via voice-to-text to ensure timely
notifications in the customer’s
preferred communication channels.
• Mitigating false alarms with AI-
enabled fraud-prevention. When a
positive fraud event is triggered via
an AI model, bots send alerts to
customers that corrective measures
are being taken.
• Optimizing management of non-
performing loans (NPLs). AI can
streamline forecasting, flag
corrective actions, and automate
communications to customers.
Most consumers (79%) define
their banking relationship as
transactional—a perception
that has grown by 8% in just
one year. This trend is bad
news for banks, and worse
news if it continues
unchecked.
Source: Accenture, Banking Shaped
by the Customer, 2015
15. THREE
Paradox NEW TECHNOLOGIES are disrupting traditional
models for financial advice and wealth
management services. Many investment
banking customers—the younger generations
especially—are less willing to pay fees for
managed portfolio services. But for those
institutions that learn to embrace change,
there’s every reason for hope.
With AI, banks and other financial services
institutions can develop new business models,
create new products and services, and make
data-driven decisions faster than ever before.
For example, new wealth advisory services that
incorporate AI—which enables quality advice at
a much lower cost—as an adjunct to human
advisors promise an optimal mix of technology
and human intelligence.
Investing in new markets and
business models with less risk
and more confidence
16. Investing in new markets
and business models with
less risk and more confidence
• Omni-lingual, instantaneous
localization, which can radically
simplify how existing services
expand into new geographies
globally or into previously
underserved communities
domestically. Such services will
dramatically shorten time-to-
market for new capabilities,
providing even more capital to
invest in innovation.
• Advisory services augmented with
robo-advisors, which more and
more investors are turning to for
essential investment needs because
of their convenience, ease of use,
affordability, and transparency.
They can provide a range of
advisory services, from
personalized, automated,
algorithm-based portfolio
management to sophisticated tax
strategies and risk management, all
at a markedly lower cost than the
traditional advisory model.
And while they won’t replace the
traditional advisor any time soon,
they will give human experts far
greater reach, enable them to
better harness relevant information
sources, and provide them with
much-needed support for entry-
level investment needs. In this way,
wealth management services
become much more accessible to
mass markets, giving those of more
modest means the tools they need
to build wealth for the long run.
• Emerging credit-scoring
methodologies powered by AI,
which can provide behavioral-
based, predictive, and preventative
solutions for instant credit-scoring
services.
Thus, by using all of the structured
and unstructured data available,
financial institutions can not only
make complex decisions faster, but
also improve the customer
experience.
Robo-advisors are
improving accessibility
to sophisticated
financial management
and creating margin
pressure, forcing
traditional advisors to
evolve.
Source: World Economic Forum
WITH THE OPERATIONAL COST SAVINGS and employee productivity gains realized from deploying an AI-powered
infrastructure, organizations can begin to expand their services into previously unserved or underserved
communities and foster new revenue streams. And, with the real-time insights provided by AI, these new
services can be tested quickly to validate the business case prior to commercializing them at scale.
Consider the following financial services scenarios, rapidly being made real through technology:
17. Foundations
for the future
AT MICROSOFT, we have an approach that’s both ambitious and broad, and one that
speaks to our mission to empower every person and every organization on the planet to
achieve more. As we think about the future of technology and how we can resolve the
conflicting imperatives of business, we believe the answer resides in the notion of
intelligence. Our approach seeks to release AI from the ivory towers and make it
accessible for all—to democratize AI for the benefit of every person and organization.
AGENT
We're harnessing AI to fundamentally change how we
interact with the ambient computing, the agents, in our lives.
With Cortana, Microsoft’s digital agent, interacting with technology is as easy as having
a conversation. It works across devices—including iOS- and Android-based—and
surfaces information about your daily tasks in work and life, often before you know you
need it. And, the more you use it, the more personalized your experience will be. To
date, there have been 12 billion queries or questions asked of Cortana, and over 145
million active users.
APPLICATIONS
We’re going to infuse every application with which we interact,
on any device, at any point in time, with intelligence.
We are building applications core to your productivity and communication,
as well as business processes—and infusing them with intelligence—to
empower employees to focus their attention on what matters most. When all
applications are powered by shared intelligence, entire organizations can act
in an integrated, harmonious way, using a rich data model that can infer
intelligence from everywhere.
SERVICES
We’ll make these same intelligent capabilities that are built into
our own apps available to every application developer in the world.
Every interface that humans use to interact with technology and the world
around them matters. As we build intelligence into everything, whether it’s
your keyboard, your camera, or your business applications, we are teaching
applications to see, hear, predict, learn, and take action. The fruits of years
of pioneering R&D work on speech and vision can be found in Skype
Translator, Cortana, our cognitive services APIs, and the Bot Framework.
INFRASTRUCTURE
We’re building the world’s most powerful AI
supercomputer and making it available to anyone.
AI requires a complete transformation of underlying infrastructure
from the silicon all the way up to the cloud. As we improve the
performance, scale, and sophistication of our global, hyper-scale,
cloud infrastructure, we’re enabling scenarios that were simply
not possible before.
18. No matter where you are on your digital
transformation roadmap, Microsoft can help.
Contact us today for more information.
Empower your
employees
Empower a high-quality and
committed digital workforce to
work and collaborate as a team
anywhere on any device with
modern productivity tools that
provide seamless access to your
data—helping you innovate
faster, meet compliance
requirements, and deliver
exceptional client experiences.
Optimize your
operations
Gain breakthrough insight into
risk and operational models with
advanced analytics solutions
and act on real-time intelligence
to optimize risk management
and meet regulatory
requirements.
Transform your
products
Drive agility with open and
connected systems and highly-
automated digital processes to
support new product
development and optimize
distribution channel strategies,
while meeting the security,
privacy, and transparency
expectations of customers,
regulators, and shareholders.
Engage your
customers
Reimagine the client experience
for a digital world and deliver
more value through insights and
relevant offers by engaging
clients in natural, highly-
personal, and innovative ways
throughout the customer
journey—driving increased
relevance, loyalty, and
profitability.
What’s next?
19. Contributors
Timothy Bowman, Consultant
Alma Cardenas, Sr. Business Program Manager
Monique Dahler, Global Director FSI and AI in
Banking
Victor Dossey, Industry Technical Strategy Director
Laura Garcia Pendergrast, Consultant
Chad Hamblin, Global Industry Director
Kevin Hughes, Technical Solutions Professional
Darren Jefford, Architect
Aman Kohli, Chief Architect
James MacGregor, Digital Architect
Rupert Nicolay, Architect
Richard Peers, Worldwide Retail, Wealth, Private
Banking Industry Lead
Bylines Byli
Dave Morehouse
Senior worldwide marketing
manager for Microsoft
Services, focusing on banking
and capital markets
Steve Leigh
Director of business
programs for Microsoft
Services, dedicated to the
financial services industry