‘Digital transformation’ and ‘IT modernization’ are the latest buzzwords and understandably so. However, there is a discernible gap in their comprehension as they are commonly used interchangeably.
Digital transformation is the process of reorienting an organization to focus on value creation through the widespread and persistent application of digital technologies.
Digital Transformation in Manufacturing - A Whitepaper by RapidValue SolutionsRapidValue
This whitepaper aims to answer some of the common questions around digital transformation specifically for the business leaders in the manufacturing industry. Because of the role that technology plays today in a organization's ability to evolve, business leaders must lead their organizations through this era of digital transformation.
The Ultimate Guide to Digital Transformation for CIOs.pdfSparity1
We are the leading digital transformation,App development,Legacy transformation,Cots customization,Qa,Maintenance support and Rpa services provider in USA. Whether it is re-engineering the product with the best UI/UX practices or bringing in AI-powered automation to the operations, we make the digital journey hassle-free.
Digital Transformation Technologies - MIT ID InnovationPankaj Deshpande
Digital Transformation Technologies allow you to instantly correct course and alter tactics as needed. So, want to pursue a digital transformation course? MIT ID Innovation offers the best Digital Transformation Courses in India at a very reasonable price.
For more details, visit : https://mitidinnovation.com/recreation/explain-digital-transformation-technologies/
Delivering on the Promise of Digital TransformationBMC Software
IT is at the center of the digital revolution. Working with business leaders to execute a digital transformation strategy that capitalizes on cloud computing, big data, social networking and smart devices is critical for success. For more information, visit www.bmc.com
Leveraging Design Thinking for Value Enhancement of Digital Transformation Innomantra
EXECUTIVE SUMMARY
Digital Transformation has been making waves and has found widespread recognition in most industries. What started as a driver of marginal efficiency is now rapidly shifting to become an enabler of fundamental innovation and disruption within an organization. The scope and scale of digital-driven change continue to grow immensely. However, organizations are still grappling with the nuances of the journey of digital transformation implementation, its implications or its impact. Digital transformation is not about adopting technologies but having an integrated approach involving people and leadership.
This white paper presents the context of digital transformation in manufacturing organizations. It redefines the process to incorporate important aspects such as breaking the silos, rescoping the challenge/ objectives, having an iterative approach and using design thinking to better understand the value implication of such an exercise. Case studies from clients have been used to illustrate the same.
Keywords: Design Thinking, Industry 4.0, Manufacturing industries, Smart factory, Value Assessment, Digital Transformation, Value Implementation
Digital transformation is the process of reorienting an organization to focus on value creation through the widespread and persistent application of digital technologies.
Digital Transformation in Manufacturing - A Whitepaper by RapidValue SolutionsRapidValue
This whitepaper aims to answer some of the common questions around digital transformation specifically for the business leaders in the manufacturing industry. Because of the role that technology plays today in a organization's ability to evolve, business leaders must lead their organizations through this era of digital transformation.
The Ultimate Guide to Digital Transformation for CIOs.pdfSparity1
We are the leading digital transformation,App development,Legacy transformation,Cots customization,Qa,Maintenance support and Rpa services provider in USA. Whether it is re-engineering the product with the best UI/UX practices or bringing in AI-powered automation to the operations, we make the digital journey hassle-free.
Digital Transformation Technologies - MIT ID InnovationPankaj Deshpande
Digital Transformation Technologies allow you to instantly correct course and alter tactics as needed. So, want to pursue a digital transformation course? MIT ID Innovation offers the best Digital Transformation Courses in India at a very reasonable price.
For more details, visit : https://mitidinnovation.com/recreation/explain-digital-transformation-technologies/
Delivering on the Promise of Digital TransformationBMC Software
IT is at the center of the digital revolution. Working with business leaders to execute a digital transformation strategy that capitalizes on cloud computing, big data, social networking and smart devices is critical for success. For more information, visit www.bmc.com
Leveraging Design Thinking for Value Enhancement of Digital Transformation Innomantra
EXECUTIVE SUMMARY
Digital Transformation has been making waves and has found widespread recognition in most industries. What started as a driver of marginal efficiency is now rapidly shifting to become an enabler of fundamental innovation and disruption within an organization. The scope and scale of digital-driven change continue to grow immensely. However, organizations are still grappling with the nuances of the journey of digital transformation implementation, its implications or its impact. Digital transformation is not about adopting technologies but having an integrated approach involving people and leadership.
This white paper presents the context of digital transformation in manufacturing organizations. It redefines the process to incorporate important aspects such as breaking the silos, rescoping the challenge/ objectives, having an iterative approach and using design thinking to better understand the value implication of such an exercise. Case studies from clients have been used to illustrate the same.
Keywords: Design Thinking, Industry 4.0, Manufacturing industries, Smart factory, Value Assessment, Digital Transformation, Value Implementation
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.
This article takes a look at the 5 disruptive trends that are effectively changing the role of the CIO and the IT function— a shift in responsibility for IT to business units; the convergence of IT and business process outsourcing; the onset of big data, analytics, social and mobility; the commoditization of IT; and the consumerization of IT. The 5 drivers of transformation are: responsibility for IT is moving the business, convergence of ITO and BPO, mobility and analytics, commodiziation of IT, and consumerization of IT.
Most businesses are trying to achieve digital transformation, but not everyone is going about it the right way. MuleSoft recently surveyed 800 global IT decision makers; 96 percent of respondents are executing on digital transformation initiatives or planning to do so in the near future. However, the results also showed that just 18 percent of IT decision makers are confident that they will succeed in meeting this year’s digital transformation goals.
In this presentation, you will learn:
-How IT can enable opportunities that impact the bottom line
-Steps to digitize data and transform the organization
-How CIOs and IT teams can reconcile existing technology with expectations for digital transformation
The Digital Transformation Symphony: When IT and Business Play in SyncCapgemini
Digital Masters, such as Starbucks, that leverage digital technologies effectively, differentiate themselves from their peers by consciously striving to build a close relationship between IT and the business. However, Digital Masters are exceptions. The IT-business relationship in most organizations is often a fractious relationship rather than a marriage of equals. Business teams often find the IT department’s high costs and long implementation timelines unacceptable. In addition, IT leaders are often faulted for not speaking the language of business. Leading CIOs take this disconnect head on and try and fix it. Our research shows that leading CIOs take three key actions to align the IT department with the needs of the business: 1. redesign the IT department to unlock digital innovation; 2. create strong digital platforms; 3. rationalize IT Infrastructure to fund digital initiatives. We explore each of these actions in this research paper.
Paul Hermelin Capgemini Chairman and CEO at the Capgemini Infrastructure Summit last January highlighted the conflicting tensions within IT organizations, particularly in light of the fact that IT system limitations are among the top three most significant barriers to business digitization.
IT departments have a short window to become “ sexy” again in the eyes of their clients. To overcome challenges by shadow IT and the rapid pace of business change, CIOs must pull two triggers simultaneously—technological innovation and organizational transformation.
To overcome those challenges this paper illustrates:
- The need for IT organizations to accelerate their move to the Cloud to deliver value in the digital age
- Use cases where IT can act as a business partner for digital innovation
- Principles to shape your next IT delivery model
- Key success factors on how to get there
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.
10 Application Modernization Principles that Enhance the Digital JourneyCognizant
The COVID-19 crisis has made experience-centricity and IT agility paramount to nearly every business. But getting there with ancient applications infrastructure is easier said than done. Here's how organizations can overhaul heritage applications to meet customers' lofty digital experience and service expectations.
Realising Digital’s Full Potential in the Value ChainCognizant
When we spoke with executives across Europe who lead digitising efforts, they described a diverse range of deployments, but digital can, and must, deliver far more than it has so far. In this ebook, we explore how businesses can explore digital's full potential across their value chain.
Leaders spend billions on digital transformation. How to keep up?N-iX
Digital disruption is like a giant white shark hunting businesses in the deep waters of the global economy. Industry leaders respond with digital transformation initiatives and we can learn a lot from their examples..
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amplify business success. Today, banks want more than incremental gains. They want datadriven revenue breakthroughs. Banks increasingly rely on data. It’s the future of communication
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Similar to The leap from modernizing to transforming the enterprise it space
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.
This article takes a look at the 5 disruptive trends that are effectively changing the role of the CIO and the IT function— a shift in responsibility for IT to business units; the convergence of IT and business process outsourcing; the onset of big data, analytics, social and mobility; the commoditization of IT; and the consumerization of IT. The 5 drivers of transformation are: responsibility for IT is moving the business, convergence of ITO and BPO, mobility and analytics, commodiziation of IT, and consumerization of IT.
Most businesses are trying to achieve digital transformation, but not everyone is going about it the right way. MuleSoft recently surveyed 800 global IT decision makers; 96 percent of respondents are executing on digital transformation initiatives or planning to do so in the near future. However, the results also showed that just 18 percent of IT decision makers are confident that they will succeed in meeting this year’s digital transformation goals.
In this presentation, you will learn:
-How IT can enable opportunities that impact the bottom line
-Steps to digitize data and transform the organization
-How CIOs and IT teams can reconcile existing technology with expectations for digital transformation
The Digital Transformation Symphony: When IT and Business Play in SyncCapgemini
Digital Masters, such as Starbucks, that leverage digital technologies effectively, differentiate themselves from their peers by consciously striving to build a close relationship between IT and the business. However, Digital Masters are exceptions. The IT-business relationship in most organizations is often a fractious relationship rather than a marriage of equals. Business teams often find the IT department’s high costs and long implementation timelines unacceptable. In addition, IT leaders are often faulted for not speaking the language of business. Leading CIOs take this disconnect head on and try and fix it. Our research shows that leading CIOs take three key actions to align the IT department with the needs of the business: 1. redesign the IT department to unlock digital innovation; 2. create strong digital platforms; 3. rationalize IT Infrastructure to fund digital initiatives. We explore each of these actions in this research paper.
Paul Hermelin Capgemini Chairman and CEO at the Capgemini Infrastructure Summit last January highlighted the conflicting tensions within IT organizations, particularly in light of the fact that IT system limitations are among the top three most significant barriers to business digitization.
IT departments have a short window to become “ sexy” again in the eyes of their clients. To overcome challenges by shadow IT and the rapid pace of business change, CIOs must pull two triggers simultaneously—technological innovation and organizational transformation.
To overcome those challenges this paper illustrates:
- The need for IT organizations to accelerate their move to the Cloud to deliver value in the digital age
- Use cases where IT can act as a business partner for digital innovation
- Principles to shape your next IT delivery model
- Key success factors on how to get there
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.
10 Application Modernization Principles that Enhance the Digital JourneyCognizant
The COVID-19 crisis has made experience-centricity and IT agility paramount to nearly every business. But getting there with ancient applications infrastructure is easier said than done. Here's how organizations can overhaul heritage applications to meet customers' lofty digital experience and service expectations.
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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
Show drafts
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
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The leap from modernizing to transforming the enterprise it space
1. The Leap From Modernizing To Transforming The Enterprise IT
Space
Being a solutions provider in an ever-evolving industry means constantly stepping up your
game. With the drive to be ‘disruption architects’, organizations are diving into digital
transformation as opposed to just modernizing. As enterprises are confronted with new market
developments, shifting customer preferences, new compliance rules as well as competitive
challenges- they are scaling up their functions. Transformation via reengineering existing legacy
systems, renewing ERP systems, and rewriting processes—are now more crucial than ever.
According to the Tech Trends 2020 report by Deloitte, CIOs recognized that their existing
systems lacked the agility to innovate and scale, with 64 percent CIOs rolling out next-
generation ERP or modernizing archaic platforms. Thus, the overarching vision of emerging as a
holistic enterprise is underpinned by increased investments in cloud, core modernization,
comprehensive cyber risk strategies, and more.
Before we go further, let us first understand the difference between digital transformation and
IT modernization
2. Digital Transformation v/s IT Modernization
‘Digital transformation’ and ‘IT modernization’ are the latest buzzwords and understandably
so. However, there is a discernible gap in their comprehension as they are commonly used
interchangeably. Let us first delve into what differentiates them and how enterprises adopt
them to embrace perpetual change.
Digital Transformation (DX) is a holistic adoption of rapid, high-impact overhaul of how a
company operates, supports its customers, and develops new businesses by embracing
innovative technology. If digital modernization is a step forward, digital transformation is a
giant leap. Mandated typically by the leadership level- CEO or CIO, digital transformation is
undertaken to achieve a market impact through end-to-end orientation. AI, automation, IoT,
cloud migration, and other advanced technologies are transforming the way businesses
function today, necessitating a fundamental shift in corporate philosophy, culture, and business
models.
IT Modernization in a nutshell is upgrading to new business-enabling technology such as cloud
services, email and collaboration platforms, and vital systems like ERP, logistics. The aim is to
improve existing processes, increase efficiencies, and be economical. Infrastructure and
operations are frequently the focus of digital modernization, with a particular “digital”
emphasis on a more engaging front-end user interface and user experience. With the vision of
driving impactful business decisions, this shift is mandated by middle management.
Key Characteristics of Digital Transformation
While IT modernization shares some key attributes with digital transformation such as
automated productivity, streamlined processes etc, there are some stark differentiators that
make digital transformation a concept on its own. Some key characteristics of digital
transformation can be identified as-
3. • Holistic remodeling– DX is not confined to technology or disruption, it’s all about value,
people, optimization, and the ability to quickly adapt through intelligent application of
technology and data. In practise, end-to-end customer experience optimization,
operational flexibility, and innovation, along with the development of new revenue
sources are key goals and desired results of DX. The factors that have contributed to this
phenomenon are evolutions such as big data, advanced analytics, cloud computing,
artificial intelligence, machine learning among many others
• Integration of data and process– It is imperative to keep data integration at the heart of
your digital transformation remodeling journey. The integration will assist you in
eliminating silos and achieve your company’s vision of modernized technology-
embedded processes. With data integration done at the onset of your transformation
program, you will be able to construct a modern platform upon which to build your new
processes. Thus, there is an ecosystem built to make your old and new processes coexist
as the process isn’t restricted to just consolidating source systems
• Leadership communication– Digital transformation compels the C-suite level
management to be at the nexus of the journey and put in innovative efforts. With the
decision of transforming from the grass-root level comes the need to address your
employees’ concerns and queries. With the advent of DevOps and agile work styles, the
CIO’s position becomes more cross-functional – to cooperate and innovate with their
associates to provide new products and capabilities at an unprecedented pace
Investment in the right direction
According to a report by Statista, in 2022, spending on DX is projected to reach ~ US$ 1.78
trillion whereas between 2020 and 2023, investments are forecast to amount to almost ~US$ 7
trillion. So, let’s delve into the top areas of investment for digital transformation.
4. Leaders are more likely to invest in the internet of things (IoT), cloud computing, artificial
intelligence (AI), and advanced cyber protection as they foray into digital transformation.
Investing in cloud-native applications will help to maneuver seamlessly as these solutions are
devised to effectively operate in private, public or hybrid cloud. These processes leverage
prominent technologies like Microservices, Containers, DevOps, and Automation to deliver
swift innovative transformation.
Parallelly, the leadership team should also constantly examine personnel requirements,
investment strategy, and financial restrictions as they drive transformation. Stalled conversions
are frequently caused by insufficient operating models and a lack of domination.
Leading by example
A leading global bank engaged in digital transformation with the aim of resolving challenges on
various fronts such as manual processes, customer experience, employee productivity, and
mitigating risks. The firm focused on building CoE and developing RPA applications to accelerate
their processes and tackle challenges. Through digital transformation, the bank was able to
create a CoE that helped standardize, document, and govern their automation program- freeing
up 2,500 work hours that they applied to higher-value tasks.
Foresight driven approach
As challenging as digital transformation seems, it is imperative to position it at the forefront of
every organization’s way forward plan. While the pandemic has pushed the momentum of
digital transformation, it is becoming increasingly crucial to improve customer experience and
increase operational efficiency. Thus, adopting an integrated approach at various functional
areas will remodel your enterprise into a holistic one.
Original Source: https://maveric-systems.com/blog/the-leap-from-modernizing-to-transforming-the-enterprise-
it-space/