This document discusses how digital disruptions are changing businesses and the need for data integration (DI) modernization. It emphasizes that data is crucial for digital businesses and an efficient DI platform is key to success. The document outlines strategies like the big bang or 2-speed approach for DI modernization. It also highlights capabilities needed like API-based integration, stream computing, cloud infrastructure and logical data warehousing. Finally, it stresses the importance of adopting an agile operating model and DevOps culture for lean execution of the DI transformation.
The survival kit for your digital transformationrun_frictionless
To go digital, you need an IT organization, an enterprise architecture, IT processes, and tools that allow for new projects to go live tomorrow instead of next week. The ability to do this will give you a competitive advantage and it will also reduce costs. But how do you get there? This white paper will get you there.
https://runfrictionless.com/b2b-white-paper-service/
Barcelona Digital Festival 28th Nov 2019 - The Future Of Work Is Automation F...CIO Edge
Franck gave a fantastic Keynote address at our BCN Digital Festival last week, for info on attending, speaking or sponsoring our next event on the 29/30th April 2020 email enquiry@digitalenterprisefest.com
The Future Of Work Is Automation Franck Lopez UiPath
Adopting an “automation first” mindset is the first step on the path to making digital transformation real in the enterprise. Thinking automation first enables your company to move faster and more effectively. It helps you serve customers better. It enables you to operate more efficiently. It unburdens your employees from mundane, repetitive work, allowing them to focus on solving problems and creating value.
To see how UiPath can help you with your Automation journey contact Franck Lopez direct.
Email: franck.lopez@uipath.com quoting "Barcelona Digital Festival".
It's Now or Never for Shift to Real-Time AppsPixel Crayons
Read the full blog here: https://bit.ly/2Ugo98g
Connect with us through:
Contact us : https://bit.ly/2IpPX7w
Facebook : https://www.facebook.com/PixelCrayons
Twitter : https://twitter.com/pixelcrayons
LinkedIn : https://www.linkedin.com/company/pixelcrayons
Instagram : https://www.instagram.com/pixelcrayons/
Pinterest : https://in.pinterest.com/pixelcrayons/
Wondering how to bring services to your clients in real time – and on their preferred device? Need to automate your financial supply chain, including risk and compliance functions, and move to a pay for performance model?
Learn about use cases from within the big data ecosystem, ranging from AML compliance, trade lifecycle, fraud detection and digital transformation, and introduce their risk data aggregation and compliance initiative. Find out how you can best leverage Open Enterprise Hadoop to achieve these goals.
The survival kit for your digital transformationrun_frictionless
To go digital, you need an IT organization, an enterprise architecture, IT processes, and tools that allow for new projects to go live tomorrow instead of next week. The ability to do this will give you a competitive advantage and it will also reduce costs. But how do you get there? This white paper will get you there.
https://runfrictionless.com/b2b-white-paper-service/
Barcelona Digital Festival 28th Nov 2019 - The Future Of Work Is Automation F...CIO Edge
Franck gave a fantastic Keynote address at our BCN Digital Festival last week, for info on attending, speaking or sponsoring our next event on the 29/30th April 2020 email enquiry@digitalenterprisefest.com
The Future Of Work Is Automation Franck Lopez UiPath
Adopting an “automation first” mindset is the first step on the path to making digital transformation real in the enterprise. Thinking automation first enables your company to move faster and more effectively. It helps you serve customers better. It enables you to operate more efficiently. It unburdens your employees from mundane, repetitive work, allowing them to focus on solving problems and creating value.
To see how UiPath can help you with your Automation journey contact Franck Lopez direct.
Email: franck.lopez@uipath.com quoting "Barcelona Digital Festival".
It's Now or Never for Shift to Real-Time AppsPixel Crayons
Read the full blog here: https://bit.ly/2Ugo98g
Connect with us through:
Contact us : https://bit.ly/2IpPX7w
Facebook : https://www.facebook.com/PixelCrayons
Twitter : https://twitter.com/pixelcrayons
LinkedIn : https://www.linkedin.com/company/pixelcrayons
Instagram : https://www.instagram.com/pixelcrayons/
Pinterest : https://in.pinterest.com/pixelcrayons/
Wondering how to bring services to your clients in real time – and on their preferred device? Need to automate your financial supply chain, including risk and compliance functions, and move to a pay for performance model?
Learn about use cases from within the big data ecosystem, ranging from AML compliance, trade lifecycle, fraud detection and digital transformation, and introduce their risk data aggregation and compliance initiative. Find out how you can best leverage Open Enterprise Hadoop to achieve these goals.
In this SlideShare, we present our take on the future of the business intelligence industry. See where the industry is going and the aspects of business intelligence that will become more prominent in the coming years.
We are establishing a nearshore presence in Switzerland to pursue our major business goals – to provide our clients with the best partnership experience and to grow as a global organization.
In the presentation, you can find opening speeches from Andriy Krupa, CEO at ELEKS, and Olha Klok, ELEKS’ Customer Success Director.
Technology trends resembled in ELEKS CTO organization by Vitaliy Yuryev, Deputy CTO, ELEKS. Transition to value-add consulting services by Lyubomyr Matsekh, Head of Strategic Technology Consulting, ELEKS
Is Your Data Paying You Dividends? Data innovation is a means to an end where data as an asset can be managed, developed, monetized, and eventually expected to pay dividends to the business.While 70% of CEOs surveyed expect investments in data, analytics, ML and AI initiatives to improve their bottom-line, 56% stated concerns over the integrity of their data1. Data science teams are now tasked to deliver true business value but fundamental issues remain in data preparation, data cleansing which impedes speed to market.Join Karan Sachdeva as he demonstrates capabilities of the all-new IBM Cloud Private for Data –a single containerized platform - that bridges the gap between data consumability, governance, integration, and visualization, accelerating speed to market and dividends to your business.by Karan Sachdeva, Sales Leader Big Data Analytics, IBM Asia Pacific
The last 18+ months have proven to be like no other time in modern history, and it has had a profound effect on the supply chain in the manufacturing industry. This disruption has meant many restless nights worrying about supply chains, workforce agility, capacity planning, resource allocation, and much more for manufacturers. Manufacturers have realized that better planning and preparedness are crucial to adapting to the rapid changes in demand seen in today's current climate.
In this webinar, you will learn how to address these challenges head-on as we discuss how your organization can become more agile and scale to your specific business requirements and how Cloud ERP systems can support better planning and preparedness for what's next.
________________________________________
About The Presenter
Steve Canter - Director of Global Service Delivery
Steve Canter has over 25 years of experience in the information technology industry. Steve has been responsible for delivering solutions to many medium-sized and large companies in a variety of industries as a consultant and project manager. Steve also brings a unique perspective to SmartERP, having spent over ten years as the CIO for a manufacturing and distribution company. During that period, he also helped shape product and customer service strategy at Microsoft and Oracle as a member of several customer advisory boards.
Down to Business: Taking Action Quickly with Linked Data ServicesInside Analysis
The Briefing Room with Krish Krishnan and Denodo
Live Webcast 5-28-2013
Rapid time-to-insight makes analysts happy, but rapid time-to-action is what executives want most. Being able to respond quickly to market changes, new opportunities or customer requests is increasingly a must-have in today's competitive landscape. The key ingredient for this kind of organizational flexibility? Data! Companies that can quickly pull together a variety of data sources have a significant advantage over those that cannot.
Register for this episode of The Briefing Room to hear Analyst Krish Krishnan of Sixth Sense explain how linked data services can provide the necessary foundation for an agile enterprise. He'll be briefed by Suresh Chandrasekaran of Denodo Technologies who will showcase his company's mature data virtualization platform. He'll demonstrate how a point-and-click interface can be used to quickly assemble a wide range of data sets, thus enabling companies to build business solutions that address very specific enterprise needs.
Visit: http://www.insideanalysis.com
Transformation of bi through ai and ml democratizationajaygajjelli
How do huge organizations work all over the world and yet the data is maintained efficiently? All business holders are aware of Business Intelligence as it identifies the strengths, weaknesses, opportunities, and threats to organizations by creating understandable insights.
https://www.esspl.com/transformation-of-bi-through-ai-and-ml-
democratization-2/
Cognizanti Journal: XaaS, Code Halos, SMAC and the Future of WorkCognizant
This issue of Cognizanti Journal focuses on successfully transitioning to the Future of Work. Article topics include "everything as a service," the emerging world of Code Halos, anytime/anyplace models of work and how to harness social, mobile, analytics and cloud technologies, or the SMAC Stack.
An overview presentation on the concept of Document Automation, and its uses in a small consumer law practice. From simple client intake on an iPad, to full scale document preparation for transactional work, employing document automation technology can catapult productivity and give you back some time to breathe. In this session we will cover the document automation solutions available to you, and how they can be applied to different areas of your practice.
Modern Business Intelligence (BI) has come a long way since its inception.
What started as a back-office function is now utilized by both consumers and IT decision makers alike.
Follow the history of this industry beginning in the early days of computers through to today's information age.
Capgemini Digital Reference Architecture with HPECapgemini
Digital Readiness Assessment Services delivers digital business initiatives by creating an actionable transformation roadmap. Through our joint partnership, Capgemini and HP have developed a Digital Reference Framework for IT solutions for the New Style of Business. Learn the strength of Capgemini-HP joint Digital Reference Architecture as it addresses client digital transformation business needs and helps you gain market share in Cloud, Big Data, Security and Mobility.
What is Digital Transformation | Digital Transformation Myths and Trends 2018hakuna matata solutions
If you want to lead your organization through digital transformation, the first step is understanding the realities of digital transformation. In this SlideShare we use excerpts from a few, prestigious industry reports/white papers to dispel a few myths.
Time series databases provide new capabilities to replace the inefficiencies of legacy systems. With a time series database, developers can deploy modern applications without limitations in time, geography, and scale. The possibilities are endless.
These slides—based on the webinar from leading IT research firm EMA and InfluxData—cover how modern applications create value and competitive advantage.
Understand the importance of having the Integration Strategy, Roadmap and Architecture that will drive and meet the Enterprise Digital Transformation goals and objectives.
The STATT (Strategic Technical Application Techniques and Tactics) methodology from Kellton Tech helps your organization to successfully lay down a Digital Reference Architecture that addresses
Digital Transformation Strategy and Roadmap
High-Speed IT of Digital Systems through DevOps
Multi-Speed IT Integration and Connectivity Architecture through CI/CD
Bi-Modal IT Considerations for Digital Innovation
Digital Reference Architecture Process, Methodology and Outcomes
Digital IT Trends - API based Connectivity, Structured and Unstructured Big Data Analytics, Micro-services and more
In this SlideShare, we present our take on the future of the business intelligence industry. See where the industry is going and the aspects of business intelligence that will become more prominent in the coming years.
We are establishing a nearshore presence in Switzerland to pursue our major business goals – to provide our clients with the best partnership experience and to grow as a global organization.
In the presentation, you can find opening speeches from Andriy Krupa, CEO at ELEKS, and Olha Klok, ELEKS’ Customer Success Director.
Technology trends resembled in ELEKS CTO organization by Vitaliy Yuryev, Deputy CTO, ELEKS. Transition to value-add consulting services by Lyubomyr Matsekh, Head of Strategic Technology Consulting, ELEKS
Is Your Data Paying You Dividends? Data innovation is a means to an end where data as an asset can be managed, developed, monetized, and eventually expected to pay dividends to the business.While 70% of CEOs surveyed expect investments in data, analytics, ML and AI initiatives to improve their bottom-line, 56% stated concerns over the integrity of their data1. Data science teams are now tasked to deliver true business value but fundamental issues remain in data preparation, data cleansing which impedes speed to market.Join Karan Sachdeva as he demonstrates capabilities of the all-new IBM Cloud Private for Data –a single containerized platform - that bridges the gap between data consumability, governance, integration, and visualization, accelerating speed to market and dividends to your business.by Karan Sachdeva, Sales Leader Big Data Analytics, IBM Asia Pacific
The last 18+ months have proven to be like no other time in modern history, and it has had a profound effect on the supply chain in the manufacturing industry. This disruption has meant many restless nights worrying about supply chains, workforce agility, capacity planning, resource allocation, and much more for manufacturers. Manufacturers have realized that better planning and preparedness are crucial to adapting to the rapid changes in demand seen in today's current climate.
In this webinar, you will learn how to address these challenges head-on as we discuss how your organization can become more agile and scale to your specific business requirements and how Cloud ERP systems can support better planning and preparedness for what's next.
________________________________________
About The Presenter
Steve Canter - Director of Global Service Delivery
Steve Canter has over 25 years of experience in the information technology industry. Steve has been responsible for delivering solutions to many medium-sized and large companies in a variety of industries as a consultant and project manager. Steve also brings a unique perspective to SmartERP, having spent over ten years as the CIO for a manufacturing and distribution company. During that period, he also helped shape product and customer service strategy at Microsoft and Oracle as a member of several customer advisory boards.
Down to Business: Taking Action Quickly with Linked Data ServicesInside Analysis
The Briefing Room with Krish Krishnan and Denodo
Live Webcast 5-28-2013
Rapid time-to-insight makes analysts happy, but rapid time-to-action is what executives want most. Being able to respond quickly to market changes, new opportunities or customer requests is increasingly a must-have in today's competitive landscape. The key ingredient for this kind of organizational flexibility? Data! Companies that can quickly pull together a variety of data sources have a significant advantage over those that cannot.
Register for this episode of The Briefing Room to hear Analyst Krish Krishnan of Sixth Sense explain how linked data services can provide the necessary foundation for an agile enterprise. He'll be briefed by Suresh Chandrasekaran of Denodo Technologies who will showcase his company's mature data virtualization platform. He'll demonstrate how a point-and-click interface can be used to quickly assemble a wide range of data sets, thus enabling companies to build business solutions that address very specific enterprise needs.
Visit: http://www.insideanalysis.com
Transformation of bi through ai and ml democratizationajaygajjelli
How do huge organizations work all over the world and yet the data is maintained efficiently? All business holders are aware of Business Intelligence as it identifies the strengths, weaknesses, opportunities, and threats to organizations by creating understandable insights.
https://www.esspl.com/transformation-of-bi-through-ai-and-ml-
democratization-2/
Cognizanti Journal: XaaS, Code Halos, SMAC and the Future of WorkCognizant
This issue of Cognizanti Journal focuses on successfully transitioning to the Future of Work. Article topics include "everything as a service," the emerging world of Code Halos, anytime/anyplace models of work and how to harness social, mobile, analytics and cloud technologies, or the SMAC Stack.
An overview presentation on the concept of Document Automation, and its uses in a small consumer law practice. From simple client intake on an iPad, to full scale document preparation for transactional work, employing document automation technology can catapult productivity and give you back some time to breathe. In this session we will cover the document automation solutions available to you, and how they can be applied to different areas of your practice.
Modern Business Intelligence (BI) has come a long way since its inception.
What started as a back-office function is now utilized by both consumers and IT decision makers alike.
Follow the history of this industry beginning in the early days of computers through to today's information age.
Capgemini Digital Reference Architecture with HPECapgemini
Digital Readiness Assessment Services delivers digital business initiatives by creating an actionable transformation roadmap. Through our joint partnership, Capgemini and HP have developed a Digital Reference Framework for IT solutions for the New Style of Business. Learn the strength of Capgemini-HP joint Digital Reference Architecture as it addresses client digital transformation business needs and helps you gain market share in Cloud, Big Data, Security and Mobility.
What is Digital Transformation | Digital Transformation Myths and Trends 2018hakuna matata solutions
If you want to lead your organization through digital transformation, the first step is understanding the realities of digital transformation. In this SlideShare we use excerpts from a few, prestigious industry reports/white papers to dispel a few myths.
Time series databases provide new capabilities to replace the inefficiencies of legacy systems. With a time series database, developers can deploy modern applications without limitations in time, geography, and scale. The possibilities are endless.
These slides—based on the webinar from leading IT research firm EMA and InfluxData—cover how modern applications create value and competitive advantage.
Understand the importance of having the Integration Strategy, Roadmap and Architecture that will drive and meet the Enterprise Digital Transformation goals and objectives.
The STATT (Strategic Technical Application Techniques and Tactics) methodology from Kellton Tech helps your organization to successfully lay down a Digital Reference Architecture that addresses
Digital Transformation Strategy and Roadmap
High-Speed IT of Digital Systems through DevOps
Multi-Speed IT Integration and Connectivity Architecture through CI/CD
Bi-Modal IT Considerations for Digital Innovation
Digital Reference Architecture Process, Methodology and Outcomes
Digital IT Trends - API based Connectivity, Structured and Unstructured Big Data Analytics, Micro-services and more
TOPS Software's corporate culture deck. This is the deck we use for new employee orientation. Our corporate culture is deliberate and aspiration. We hope all of our employees will fall in love with the community association management industry!
What is REST?
What is RESTful Webservices
HTTP-REST Request Basics
HTTP-REST Vocabulary
Authentication (OAuth)
OAuth 2.0 Web Server Flow
REST APIs using Apex REST
Resources
Albiorix Technology brings the top 10 digital transformation trends to watch out for in 2023 that you can adopt to improve your business performance.
For More Information: https://www.albiorixtech.com/blog/digital-transformation-trends/
Top 10 optimistic data center solution providers 2020Swiftnlift
SLI is still in its infancy but is considered the next step in the evolution of data centers, virtualization and cloud computing. The combination of server virtualization, software-defined networks (SDN), software-defined storage (SDS) and automation will enable the creation of a truly dynamic, virtualized data center. SDN and SDS are still new technologies that have not yet been firmly established in the data center landscape, but they will have a place in the ultimate vision of the fully automated, fully dynamic SLI.
‘In this special issue, we introduce Top 10 Optimistic Data Center Solution Providers – 2020’ in order to assist business to choose the right companies. We have featured Optimistic Data Center Solution Providers as the cover story. It specializes in the use of emerging techniques and practice for developing nation.
We have introduced profiles of FutureSoft, Locuz Enterprise Solutions, NetDataVault, Nikom, Proactive Data System, Serverwala Data centers, Sify Technologies, STTelemedia Global Data Centres, Tech9labs, and Techvivid Systems.
Our in-house editors have come up with some adroitly written articles such as -
Data Center Maintenance: A Plan for Guaranteeing Smooth Functionality of Equipment, Infrastructure and Design Tips to Help your Data Center to Go Green, Steps for Successful Data Center Consolidation.
Softchoice is helping companies reach their goals of having a modern, enabling IT organization. We help customers by enabling end users, enabling hybrid IT, enabling asset management and enabling procurement.
Digital transformation is the cultural, organizational, and operational change of an establishment, industry, or
ecosystem through a smart integration of digital technologies, processes and competencies across all levels
and functions in a staged and strategic way.
Rebooting IT Infrastructure for the Digital AgeCapgemini
The Digital Transformation Institute has launched its latest research report titled “Faster, Better, Smarter: Rebooting IT Infrastructure for the Digital Age.” The report highlights why organizations need robust and seamless IT infrastructure that keeps pace with evolving market and technology demands. IT infrastructure has always been known as a “keeping the lights on” function but now it has evolved into a core catalyst of Digital Transformation. However, as a function, IT infrastructure is yet to undergo a core transformation. The report discusses why a reboot is critical.
Cloud technology is no longer a new player in the market,
but it’s a mature and integral part of the IT landscape and a
key parameter in driving business growth. It is an
indispensable topic among CXOs. A research by Fraedon has
found that almost half of the banks find their legacy
systems to be the biggest hindrance in their growth.
Each CIO post description includes something resembling the 12 roles and requirements. This list outlines what CEOs are currently looking for in their CIOs. However, it's not necessarily what CEOs really need from their CIOs.
In the current data-driven economy, in which analytics and software have become the main factors in business, executives must reconsider the hierarchies and silos that fueled the business in the past. There is no longer a need for "technology people" who work independently of "data people" who work in isolation from "sales" people or from "finance." Instead, they need to manage organizations where every employee is embraced by technology and data as integral to their work.
They also require CIOs to guide them there. In this regard, redefining the business to accommodate the new data economy is the primary task executives have to today's top-of-the-line CIOs.
Here's how:
from Software and the Business to Software is the Business
When Cargill began to put IoT sensors in shrimp ponds, Chief Information Officer Justin Kershaw realised that the $130 billion agriculture business was evolving into a digital enterprise. To determine the point at which IT should stop and where IoT technology engineering needs to begin, Kershaw did not call CIOs from other food and agricultural companies to discuss their experiences. He contacted the CIOs of SAP and Microsoft as well as various other companies that use software. He was thinking about reimagining the world's biggest agricultural business as a software business.
Modern Delivery
Moving software from a supporting role to leading position is the why is the issue, then modern delivery is the way to do it. Modern delivery involves an approach to product (rather as project) management rapid development and small teams of cross-functional experts which co-create, as well as continuous integration and delivery, all with a brand new financial model that supports "value" not "projects."
However, don't try to build an modern SDLC. Instead, build a software development cycle (SDLC) on an industrial infrastructure. The architecture that is intended for this data-driven economy relies on platforms and cloud-connected, makes use of APIs that connect with an ecosystem outside and splits monolithic applications into microservices.
"A platforms model encompasses more than just an architecture. It's a mental model that allows us to consider how vertically we can provide the vet, farmer, or pet's owners, then expand to think horizontally about ways to make solutions adaptable, scalable and secure" claims Wafaa Mamilli Chief Information Officer and Digital Officer of global animal health firm Zoetis. "Platforms can be flexible, intelligent and run algorithms that let us rapidly change. If we did not adopt the platform model and approach, we'd be funding these massive programs."
The Democratisation of IT
If you gift someone an uncooked fish, they can take a bite for a few hours.
A simple demonstration about digital transformation; the concept of cloud computing and how the Microsoft 365 framework epitomizes its principle and practice.
Accelerating Digital Business in a Cloud-First WorldPerficient, Inc.
According to research firm IDC, by 2018 more than 50% of enterprise IT infrastructures and software investments will be cloud based. What does that mean for you in a competitive landscape? Without a cloud foundation to drive digital transformation, your ability to compete will be crippled.
Guest speaker Gard Little, an IDC analyst, and Joel Thimsen, a director of cloud and DevOps at Perficient, launched our new Cloud First, Business-Driven webinar series, designed for line of business and IT leaders, exploring how to bring corporate strategies to life with the cloud.
Our cloud experts highlighted key findings of IDC research and shared Cloud First strategies for:
-Adopting a digital business mindset and customer-centric mantra
-Achieving business optimization and intelligence goals
-Overcoming organizational velocity challenges
-Accelerating new strategies and innovation
-Creating value and increasing profitability
Make from your it department a competitive differentiator for your businessMarcos Quezada
IBM Systems, combining the strengths of IBM middleware and IBM hardware to create a resilient, modern enterprise infrastructure to make from your IT department a competitive differentiator for your business. Infrastructure Matters #ITMatters
An extract from my presentation (given recently to a CIMA group) on how SMEs can benefit from the Cloud. Includes an overview of Cloud service types and how to select a Cloud supplier.
Watch here: https://bit.ly/2D1fqB6
Today’s evolving data landscape has spawned new business challenges that require innovative solutions. These challenges include:
- Strategic decision-making, which relies on multiple perspectives such as social and economic factors that require combining internal and external data.
- Accounting for the increased volume and structural complexity of today’s data, and increased frequency required in delivering data assets.
- Coping with data silos that house data that must be combined and provisioned to support decision-making.
- Exposing purpose-built analytics, such as supply chain, for consumption in order to expedite decision-making.
Attend this session to learn how Data as a Service, fueled by data virtualization, overcomes these common challenges from the three dimensions of:
- Provisioning information-rich external data assets,
- Connecting data silos, and
- Enabling pre-built and packaged analytics.
Digital transformation is the process of reorienting an organization to focus on value creation through the widespread and persistent application of digital technologies.
Self-service analytics @ Leaseplan Digital: from business intelligence to int...webwinkelvakdag
Our mission is to drive digital data intelligence in a 55-year old company currently undergoing digital transformation.
We do this through cloud big data architecture and intuitive business performance visualizations based on multiple data sources across customer journeys. Join this session to find out how we are enabling enterprise wide adoption of self-service analytics both internally as single source of truth of business performance and as embedded analytics solution to end customers for real-time vehicle maintenance steering through predictive models.
In this session we will share our challenges, learnings, achievements and roadmap to embed self-service analytics in LeasePlan.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
2. 2
About Myself
I help my customers in their digital journey by developing
their big, small & fast data solution.
3. 3
About L&T Infotech
L&T Infotech is a global IT services and solutions
provider. We provide the winning edge to our clients by
leveraging our Business-to-IT Connect and Deeply
Committed People.
Our clients have found in us a right-size partner who
combines scale, stability and customer-centricity.
5. 5
Data is the glue of all digital businesses!
And an efficient data integration platform is the logical
starting point towards success
6. 6
Today we will discuss…
What is a digital business?
Needs and challenges of DI modernization
Strategies an organization can adopt
Capabilities to be acquired
Platform & toolset
and Operating model to make the transformation to work
8. 8
Being Digital Means*…
And it demands innovation, speed & agility!
creating value at the new frontiers of the business world
creating value in the processes that execute a vision of
customer experiences
and building foundational capabilities that support the
entire structure.
*Source: What ‘digital’ really means | McKinsey & Company
9. 9
This is new normal of
customer service and
satisfaction!
Uber runs its business
on a platform which
uses enables this level
of customer service
and more…
14. 14
You will need to
choose the right modernization strategy,
acquire the right capabilities and integrate with
existing ones,
implement state of the art platform & toolset,
adopt to an agile operating model which makes
everything work seamlessly
to get your DI ready for Digital Transformation…
15. 15
What are the right strategy an organizations can adopt?
Depending upon your situation, you can choose either of
these 2 strategies,
Big Bang Approach
2-Speed Transformation
Most of our customer adopts the 2nd strategy
16. 16
Identify the candidates which
need to change at faster speed
Not all DI applications need to
change at faster speed
19. 19
Big Data is only a piece in the DI puzzle…
Stream
Computing will
make real-time
integration
possible
Cloud
Infrastructure
will provide one-
click provisioning
and elasticity
API Based
Integration will
enable a data as
Microservices
Logical Data
Warehouse
will contain
Small/Big &
Fast Data
20. 20
API based integration provides seamless cross channel
experience by enabling data as a microservice…
design of data services
around business
capabilities, automated
deployment and
decentralized control of
language & data.
REST is the de facto
standard
Image Source: https://blog.karmawifi.com/how-we-build-microservices-at-karma-71497a89bfb4#.ixbgljju0
21. 21
Real time streaming for responsiveness…
Image Source: https://spark-summit.org/2014/wp-content/.../Lambda-Architecture-Jim-Scott..pdf
22. 22
Logical DW extends existing infrastructure to cater new data and related workloads…
Data
Quality
ILM
Data Governance
Data
Integration
MDM
Source
Security
Web
Services
APIs
SQL
Queries
Search
Custom
Applications
ERP
SCM
CRM
Image
Audio
& Video
Machine
Logs
Emails
Web &
Social
Sensor
Data
Documents
Eg Pdf,
Docs
StructuredUn-structured
Data Acquisition Layer Data Consumption Layer
Marketing
Executives
Operational
Managers
Data Scientists
Business
Analysts
Engineers
Customers
Partners
Frontline
Workers
Data
Lake Archived
Data
Master
Data
Staging
Data
Non Prod
Data
Metadata Management
Data
Virtualization
Analytical
Data
Data Fill
Platform
Data Mill Platform
Data Drill Platform
Data Warehousing Platform
Near Real Time
Load
Batch
Load
Advanced
Analytics
Prescriptive
Predictive
Descriptive
Business
Intelligence
BI Reports
Ana Reports
Dashboards
Visualization
OLAPODS Data Marts
23. 23
One-click provisioning & elasticity through a cloud
infrastructure; allowing faster innovation
“…Cloud Computing is
multi-tenant, it’s faster,
half the cost, pay as
you go, it grows as you
grow or shrinks as you
shrink. It is extremely
efficient…”
- Marc Benioff, CEO SFDC [Oracle
Open World 2010]
24. 24
Plethora of tools to architect your agile & scalable data platform
Data
Sources
Flow
Controller
Stream
Processor
Storage Analytics
Enterprise
Applications
Mobile Devices
IoT Sensors
System logs
Web Scrapping
Messaging
Queue i.e.
Kafka, Tibco
EMS
Amazon
Kinesys
Storm
Spark
Streaming
Informatica
CDC
Flink
Azure
Streaming
RDBMS
NoSQL
HDFS
Cloud Storage
S3, HDInsight
Cloud DB -
Redshift
Custom
Application –
D3
Tools –
Tableau, Qlik
Elastic Search
Many more
25. 25
Because of the speed and agility digital initiatives will usher
a cultural shift in the way organization builds and deliver
software…
26. 26
DevOps & Continuous Integration – Lean Execution Model for
DI TransformationStart
Continuous
Integration Server
Source
code
Repositor
y
Resolve
Dependenci
es
Get Latest
job/packag
e
Integration
of
components
Static
Analysis
Deploy in
QA
Environme
nt
Unit &
Functional Test
Regression
TestResult
Validation
Update
Matching
Defects
Send
Notificatio
n
(Start)
(End)
Build Tool
(xml test
cases)
(Coding Standard,
Sanity checks)
(xml test
cases)
Java API
Trigger
Mechanis
m
Code
Check-in
Matrix
Dashboar
d
(pearl, shell, js)
Test Management
Server
SMTP
Server
Bug
Reporting
Tool
Automated Test
Script
Raise
Defect
Feedback
ETL jobs
BI
Dashboard
s
27. 27
“Companies rarely die from moving too fast, and they
frequently die from moving too slowly.”
- Reed Hastings, CEO of Netflix
Good afternoon everyone! My name is Amar Roy and I am a principal solution architect at L&T Infotech. I help my customers in their digital journey by developing their big, small & fast data solution.
Among other service lines, we have keen focus in Analytics and Information management in the
Context of digital transformation of our customers.
Let’s get started with today’s topic, but before we get their I have a question. What is common among these companies?
Yes, these are all digital businesses; but they are digital disruptors as well.
Today digital businesses are everywhere. Every day they are not only developing new business models but disrupting those of the incumbents. Amazon did this to Border’s brick and mortar bookstores. Uber is virtually wiping out the traditional Taxi industry by allowing people to provide taxi service if they have a smart phone and a car. And they are coming out in all segments of businesses. So in a way posing threat to the incumbents with the data centric innovation & speed. So clearly there is a need of change to be in business and be competitive!
All these digital companies have one more thing in common; they are master in using data for running their business.
They use data for product innovation, customer insight, process optimization and speed. In fact , data is used as
Glue of all digital businesses.
And before any bit of data can be used, it must be ingested, processed and presented to to internal/external consumers.
This is the reason DI plays the central role in the digital journey of an Organization.
My goal of this presentation, is to elaborate a clear framework for DI modernization which can
sustain the digital initiative of a company…
But even before we discuss the importance of data integration modernization in the context of digital disruption,
let’s understand what it means to be digital. And understand why it is disruptive in nature.
Last year, I took an Uber from my office in Edison to Newark Airport. When I got down at Newark, I looked at my Uber app and
Realized the driver did not closed the trip immediately! He drove another 2-3 miles before he closed the trip. I was literally pissed and gave a bad rating
with description of what happened. Within next 6 min, I got this email… This is the benchmark digital companies are setting…
Digital businesses are setting new benchmarks for speed, agility, and user-friendliness, consumers expect similar online performance from banks,
retailers, and telecommunications companies.
Before we move on to how DI modernization can be done for Digital Age, lets pause for a moment to
examine what kind of systems and infrastructure enables Uber to provide such un parallel customer
service with speed and Agility.
As expected, Uber Head of Data, Aaron Schildkrout says “It’s fundamentally a data problem!”
It is evident from this architecture , Uber has focused on building a robust DI architecture
which enable processing huge amount of data real time. This is the core of their business…
But unlike the Uber, incumbent organizations does not have the luxury of starting with a clean slate. Their Data Integration
landscape has grown overly complex over time and can’t be changed overnight.
So what do they do if their DI systems looks like this? Where should they start to make their DI more agile and
responsive without disturbing all functions at once?
So technology can’t alone solve this problem. They need a more holistic approach for a successful
DI modernization.
This transformation is possible if these 4 activities executed well
choose the right modernization strategy,
acquire the right capabilities and integrate with existing ones,
implement state of the art platform & toolset,
adopt to an agile operating model which makes everything work seamlessly
We will examine these in next few slides and understand how these will facilitate the DI modernization
in the digital journey of the organization.
We have found there are two ways organization can make this happen
Big Bang Approach – Change the entire DI landscape as part of multi year transformation program. However, most often that is not practical
2-Speed Transformation – In today’s competitive environment, you need to adopt an incremental approach which McKinsey termed as two – speed approach.
Most of our customer adopts the 2nd strategy.
One of our Oil & Gas customer actually followed the approach #1
But one large US bank has chosen to go for approach #2
In an organization not all DI application need to change at the same speed or to be touched at all
during DI modernization initiative.
To start with, create a distinction between these two set of applications and build a plan on how these two set of
applications will be handled in your DI transformation program.
Core transactional system of records needs to be stable & consistent for various reasons
Like risk & regulatory compliance etc.
These are typically your ERP, Financial and Inventory management systems. They need
Accuracy over speed. And should not be changed often.
We can leave them alone if they are doing what they are expected to do…
a. However, your customer facing systems needs to change fast and often multiple time within a day.
So these should be your primary focus for the DI transformation project.
b. These systems needs to be agile and change often. Think about major retailer like Amazon, Media and Entertainment
Company like HBO/Netflix. They changes often – even multiple time during the same day…
c. These application should be focused during the DI transformation…
a. There is a notion that Digital is all about big data analytics. Not completely true!
To provide the speed & agility data integration part is equally important as storing
And analyzing big data. You need to make your DI platform capable of handling big, small & fast data.
We have seen these are the broad DI capabilities which will make the customer facing systems,
Provide seamless experience across channels
Real-time insight on customer behavior
Zero down time
Auto-scale up/down based on load
Amazon and Netflix are among the biggest users of Microservices. Amazon has more than 100 micro-services in their site.
Because of the modular nature micro-services enables automated deployment with zero down time of business
Critical websites.
You can deploy multiple changes within normal business hours with out disrupting your
Customer experience.
Most important from DI perspective, you can reduce the need to move data across systems and
save valuable ETL development time.
Finally you, can virtually remove the nightly FTP jobs , make the data available on-demand freeing up the
Network traffic.
Real-time streaming data integration is the other component of speed, agility and customer experience.
We have seen the mail that Uber customer support sent within 6 min of submitting my grievance!
Traditionally , all data integration were designed for processing batches. Even, in HDFS in essence a
Batch processing system with huge throughput but high latency. That was good, but today most of
your data comes in streams, be it sensor data or tweets from customer. So , besides batch processing
you need the ability of processing data streams as well.
Lambda Architecture , is an architecture style which implements both batch as well as stream processing
Side by side. You can see the technology components of such an architecture. Finally, you need a database
Which will provide the data to applications with extremely low latency
However, most of the organizations has invested heavily on the Enterprise Data Warehouse ecosystem.
Most often, they need to be expanded to include new data sources or new types of data. This gives rise
To what we call is Logical Data Warehouse.
There is another school of thought which calls for a Hadoop DataLake. But we have seen mixed success
Hadoop Data Lake.
In a digital business workload varies , often unexpectedly. Organizations should look for
an elastic infrastructure which expands and contracts with load. And cloud infrastructure
Provides exactly the same.
If you see , most of the digital businesses born in cloud and it has given them extra-ordinary scale
With minimal investment. They can provision a cluster within minute, ingest data and try out an
Idea. They can fail fast and innovate faster…
In a two speed DI transformation, cloud infrastructure is ideal for the fast moving applications.
For your data pipeline you have lots of choice from open source or Informatica to choose from
Digital businesses breaks silos within organizations…It brings level of transparency in the way software is built, tested and deployed.
Most often software development is tied up with product launch and success of an initiative. So these often draws more attention of
Senior executives.
On the team front, project mindset gets dissolved paving the way for product mindset. A team of competent engineers owns and
Improves the code base. People is rewarded for failing faster and innovation…
While the system of records follow waterfall release methodology, customer facing systems needs to be agile.
Changes to be deployed in days not hours. So DevOps and Continuous Delivery is the way forward.
Automated build solution
Automated Deployment Solution
Automated testing solution – Test driven development
Capture metrics and improve