A quick view about Digital Transformation and what's happening with Industries across the globe.
A guidance to IT Channel to accelerate Cloud Profitability with valuable resources for download.
Basics of BI and Data Management (Summary).pdfamorshed
Basics of Business Intelligence and Data Management
BI Architecture
How BI works?
DMBOK framework
what is Data literacy
Data quality
Data Governance
what is self-service or modern BI
Power BI Architecture
How Power BI Works
BI Implementation steps
DAS Slides: Enterprise Architecture vs. Data ArchitectureDATAVERSITY
Enterprise Architecture (EA) provides a visual blueprint of the organization, and shows key inter-relationships between data, process, applications, and more. By abstracting these assets in a graphical view, it’s possible to see key interrelationships, particularly as they relate to data and its business impact across the organization. Join us for a discussion on how Data Architecture is a key component of an overall enterprise architecture for enhanced business value and success.
When it comes to creating an enterprise AI strategy: if your company isn’t good at analytics, it’s not ready for AI. Succeeding in AI requires being good at data engineering AND analytics. Unfortunately, management teams often assume they can leapfrog best practices for basic data analytics by directly adopting advanced technologies such as ML/AI – setting themselves up for failure from the get-go. This presentation explains how to get basic data engineering and the right technology in place to create and maintain data pipelines so that you can solve problems with AI successfully.
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...DATAVERSITY
A solid data architecture is critical to the success of any data initiative. But what is meant by “data architecture”? Throughout the industry, there are many different “flavors” of data architecture, each with its own unique value and use cases for describing key aspects of the data landscape. Join this webinar to demystify the various architecture styles and understand how they can add value to your organization.
BI Consultancy - Data, Analytics and StrategyShivam Dhawan
The presentation describes my views around the data we encounter in digital businesses like:
- Looking at common Data collection methodologies,
-What are the common issues within the decision support system and optimiztion lifecycle,
- Where are most of failing?
and most importantly, "How to connect the dots and move from Data to Strategy?"
I work with all facets of Web Analytics and Business Strategy and see the structures and governance models of various domains to establish and analyze the key performance indicators that allow you to have a 360º overview of online and offline multi-channel environment.
Apart from my experience with the leading analytic tools in the market like Google Analytics, Omniture and BI tools for Big Data, I am developing new solutions to solve complex digital / business problems.
As a resourceful consultant, I can connect with your team in any modality or in any form that meets your needs and solves any data/strategy problem.
Emerging Trends in Data Architecture – What’s the Next Big Thing?DATAVERSITY
Digital Transformation is a top priority for many organizations, and a successful digital journey requires a strong data foundation. Creating this digital transformation requires a number of core data management capabilities such as MDM, With technological innovation and change occurring at an ever-increasing rate, it’s hard to keep track of what’s hype and what can provide practical value for your organization. Join this webinar to see the results of a recent DATAVERSITY survey on emerging trends in Data Architecture, along with practical commentary and advice from industry expert Donna Burbank.
Watch the video: https://www.youtube.com/watch?v=AV_U3fJjNXE
Designers, architects and analysts habitually produce maps and visualizations. EDGY is designed to be a visual language to create mappings and visualisations as perspectives on an enterprise model. Instead of just producing more and more isolated artefacts, we create individual mappings as representations of an integrated semantic model. Here are a few questions you should ask when designing better enterprises:
- What is your enterprise all about? What is its story? Who are the people behind it? What is their motivation? This is the identity of the enterprise; what it stands for and the reason for its existence.
- What will you actually provide to people? What are offering? How is what you offer going to change people’s lives? This is the experience the enterprise aims to create for customers and others.
- What do you need to realise that? What are the parts that make it work? How are those parts related? What can you achieve with them? This is the architecture that holds the enterprise together.
In the past, these questions have been treated separately by specialist functions and disciplines, leading to incoherent, siloed, underperforming enterprises. Elements like a sound strategy, a well performing operating model, or a winning product design are simply impossible to get right if there is no coherence in the way people working to create the enterprise (its cocreators) answer these questions.
These universal facets of identity, experience and architecture apply to all enterprises: large companies, start-ups, public institutions, ... . They provide useful lenses to understand why an enterprise exists, what it is supposed to deliver to whom, and how all of this is supposed to work.
EDGY, a graphical language for collaborative enterprise design, is complementary to more specific visual languages such as ArchiMate or UML but covers a broader range of view angles needed to create better enterprises.
Capgemini Cloud Assessment is a Cloud agnostic, vendor aware methodology that focuses on low risk, high return business transformation. Additionally, it reduces TCO and provides an early view of ROI.
This closed loop assessment leverages pre-built accelerators such as ROI calculators, risk models and portfolio analyzers utilizing our deep partner ecosystem. We deliver an end state architecture, business case and deployment roadmap in just six to eight weeks.
Basics of BI and Data Management (Summary).pdfamorshed
Basics of Business Intelligence and Data Management
BI Architecture
How BI works?
DMBOK framework
what is Data literacy
Data quality
Data Governance
what is self-service or modern BI
Power BI Architecture
How Power BI Works
BI Implementation steps
DAS Slides: Enterprise Architecture vs. Data ArchitectureDATAVERSITY
Enterprise Architecture (EA) provides a visual blueprint of the organization, and shows key inter-relationships between data, process, applications, and more. By abstracting these assets in a graphical view, it’s possible to see key interrelationships, particularly as they relate to data and its business impact across the organization. Join us for a discussion on how Data Architecture is a key component of an overall enterprise architecture for enhanced business value and success.
When it comes to creating an enterprise AI strategy: if your company isn’t good at analytics, it’s not ready for AI. Succeeding in AI requires being good at data engineering AND analytics. Unfortunately, management teams often assume they can leapfrog best practices for basic data analytics by directly adopting advanced technologies such as ML/AI – setting themselves up for failure from the get-go. This presentation explains how to get basic data engineering and the right technology in place to create and maintain data pipelines so that you can solve problems with AI successfully.
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...DATAVERSITY
A solid data architecture is critical to the success of any data initiative. But what is meant by “data architecture”? Throughout the industry, there are many different “flavors” of data architecture, each with its own unique value and use cases for describing key aspects of the data landscape. Join this webinar to demystify the various architecture styles and understand how they can add value to your organization.
BI Consultancy - Data, Analytics and StrategyShivam Dhawan
The presentation describes my views around the data we encounter in digital businesses like:
- Looking at common Data collection methodologies,
-What are the common issues within the decision support system and optimiztion lifecycle,
- Where are most of failing?
and most importantly, "How to connect the dots and move from Data to Strategy?"
I work with all facets of Web Analytics and Business Strategy and see the structures and governance models of various domains to establish and analyze the key performance indicators that allow you to have a 360º overview of online and offline multi-channel environment.
Apart from my experience with the leading analytic tools in the market like Google Analytics, Omniture and BI tools for Big Data, I am developing new solutions to solve complex digital / business problems.
As a resourceful consultant, I can connect with your team in any modality or in any form that meets your needs and solves any data/strategy problem.
Emerging Trends in Data Architecture – What’s the Next Big Thing?DATAVERSITY
Digital Transformation is a top priority for many organizations, and a successful digital journey requires a strong data foundation. Creating this digital transformation requires a number of core data management capabilities such as MDM, With technological innovation and change occurring at an ever-increasing rate, it’s hard to keep track of what’s hype and what can provide practical value for your organization. Join this webinar to see the results of a recent DATAVERSITY survey on emerging trends in Data Architecture, along with practical commentary and advice from industry expert Donna Burbank.
Watch the video: https://www.youtube.com/watch?v=AV_U3fJjNXE
Designers, architects and analysts habitually produce maps and visualizations. EDGY is designed to be a visual language to create mappings and visualisations as perspectives on an enterprise model. Instead of just producing more and more isolated artefacts, we create individual mappings as representations of an integrated semantic model. Here are a few questions you should ask when designing better enterprises:
- What is your enterprise all about? What is its story? Who are the people behind it? What is their motivation? This is the identity of the enterprise; what it stands for and the reason for its existence.
- What will you actually provide to people? What are offering? How is what you offer going to change people’s lives? This is the experience the enterprise aims to create for customers and others.
- What do you need to realise that? What are the parts that make it work? How are those parts related? What can you achieve with them? This is the architecture that holds the enterprise together.
In the past, these questions have been treated separately by specialist functions and disciplines, leading to incoherent, siloed, underperforming enterprises. Elements like a sound strategy, a well performing operating model, or a winning product design are simply impossible to get right if there is no coherence in the way people working to create the enterprise (its cocreators) answer these questions.
These universal facets of identity, experience and architecture apply to all enterprises: large companies, start-ups, public institutions, ... . They provide useful lenses to understand why an enterprise exists, what it is supposed to deliver to whom, and how all of this is supposed to work.
EDGY, a graphical language for collaborative enterprise design, is complementary to more specific visual languages such as ArchiMate or UML but covers a broader range of view angles needed to create better enterprises.
Capgemini Cloud Assessment is a Cloud agnostic, vendor aware methodology that focuses on low risk, high return business transformation. Additionally, it reduces TCO and provides an early view of ROI.
This closed loop assessment leverages pre-built accelerators such as ROI calculators, risk models and portfolio analyzers utilizing our deep partner ecosystem. We deliver an end state architecture, business case and deployment roadmap in just six to eight weeks.
Emerging Trends in Data Architecture – What’s the Next Big Thing?DATAVERSITY
With technological innovation and change occurring at an ever-increasing rate, it’s hard to keep track of what’s hype and what can provide practical value for your organization. Join this webinar to see the results of a recent DATAVERSITY survey on emerging trends in Data Architecture, along with practical commentary and advice from industry expert Donna Burbank.
Data Lake Architecture – Modern Strategies & ApproachesDATAVERSITY
Data Lake or Data Swamp? By now, we’ve likely all heard the comparison. Data Lake architectures have the opportunity to provide the ability to integrate vast amounts of disparate data across the organization for strategic business analytic value. But without a proper architecture and metadata management strategy in place, a Data Lake can quickly devolve into a swamp of information that is difficult to understand. This webinar will offer practical strategies to architect and manage your Data Lake in a way that optimizes its success.
Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...DATAVERSITY
The majority of successful organizations in today’s economy are data-driven, and innovative companies are looking at new ways to leverage data and information for strategic advantage. While the opportunities are vast, and the value has clearly been shown across a number of industries in using data to strategic advantage, the choices in technology can be overwhelming. From Big Data to Artificial Intelligence to Data Lakes and Warehouses, the industry is continually evolving to provide new and exciting technological solutions.
This webinar will help make sense of the various data architectures & technologies available, and how to leverage them for business value and success. A practical framework will be provided to generate “quick wins” for your organization, while at the same time building towards a longer-term sustainable architecture. Case studies will also be provided to show how successful organizations have successfully built a data strategies to support their business goals.
Emerging Trends in Hybrid-Cloud & Multi-Cloud StrategiesChaitanya Atreya
As Cloud Computing rapidly evolves, newer deployment strategies such as Hybrid-Cloud, Multi-Cloud and On-Prem Cloud are emerging. More and more enterprise solution providers are offering support for a combination of these deployment targets. It is imperative that the larger organizations have a clear Hybrid-Cloud and Multi-Cloud strategy to avoid cloud lock-in and to de-risk business decisions.
What do each of these terminologies mean? What is the scope of each and overlap if any? We will discuss the emerging best-practices across these interdisciplinary trends, especially in the context of Modern Data and Analytics Platforms and Enterprise Self-Service.
How a Semantic Layer Makes Data Mesh Work at ScaleDATAVERSITY
Data Mesh is a trending approach to building a decentralized data architecture by leveraging a domain-oriented, self-service design. However, the pure definition of Data Mesh lacks a center of excellence or central data team and doesn’t address the need for a common approach for sharing data products across teams. The semantic layer is emerging as a key component to supporting a Hub and Spoke style of organizing data teams by introducing data model sharing, collaboration, and distributed ownership controls.
This session will explain how data teams can define common models and definitions with a semantic layer to decentralize analytics product creation using a Hub and Spoke architecture.
Attend this session to learn about:
- The role of a Data Mesh in the modern cloud architecture.
- How a semantic layer can serve as the binding agent to support decentralization.
- How to drive self service with consistency and control.
Business Intelligence (BI) and Data Management Basics amorshed
A one-day training course on the Concepts of Data Management and Business Intelligence (BI) in the DX age
A Basic Review of BI and DM
How to Implement BI
A review of BI Tools and 2022 Gartner Quadrant Magic
Basics of Data warehouse (DWH)
An introductions to Power BI
Components of Power BI
Steps for BI Implementation
Data Culture
Intro to ETL and ELT
OLAP files and Architecture
Digital transformation or DX review
A glance at DMBOK2.0 framework
BI Challenges
Data Governance
Data Integration
Data Security and Privacy in DMBOK2.0
Data-Driven Organization
Data and BI Maturity Model
Traditional BI
Self-service BI
who is DMP
who is BI developer
what is Metadata
what is Master data
Data Quality
Data Literacy
Benefits of BI
BI features
How does BI Works?
Modern BI
Data Analytics
BI Architecture
Data Types
Data Lake
Data Mart
Data Silo
Data Visualization
Power BI Architecture and components
Strategic Operating Model Defines How a Company Looks and Works. This document gives a good overview of the the various aspects of the concept including:
1. Understand the Linkage Between Strategy and an Operating Model.
2. Recognize the Key Components of a Company’s Operating Model.
3. Familiarize Use of Operating Models to Make Comparisons Across Companies.
Digital Transformation - another buzzword around the globe, is it? Well, it is a trend of course, but, all of trends has some reason behind them. So, what Digital Transformation stands for? What is transformed? How the transformation is done? Why do we need to transform something? This presentation focuses on answering these questions and understanding what stands behind the trend called Digital Transformation from user experience point of view.
Digital Business Transformation | Strategy + Executionfeature[23]
Speed of innovation and certainty of your digital technology strategy is your new IP.
Market leading brands know they are competing in the 3rd Industrial Revolution – The Software Economy – and they will live or die by their digital adoption. Companies mature in digital business transformation are outperforming, making more money, and are more profitable than their peers.
These Digital Leaders are proactively transforming their business models and leading their segments through the frenetic pace of social, mobile, analytics, cloud, and the Internet of Everything. Unfortunately, digital is still shrouded in confusion, viewed as a cost center, and punished with inadequate funding.
How do you transform modern businesses at scale by creating technology-based capabilities, products, services, and business outcomes that delivers your authentic brand promise?
What is Digital transformation?
Far too often digital transformation is confused with Digitalization or with Digitization with a key focus on technologies or platform. But Digital transformation is not about technologies: it's about transforming the whole prganisation through a system thinking approach and it's about rethinking operational models, business models, processes, and policies, taking people, both employees and customers at the core of the process.
Because the goal of any digital transformation is to increase value creation for the business through digitally enhanced processes that increase internal efficiency and overall customer and employee satisfaction.
Digital transformation is en emergent need in today's post-industrial society: we moved fast from an industrial to a post-industrial era, however operational models and management practices haven't evolved fast enough.
For this reason, many organisations prefer to think of Digital transformation as the adoption of digital technologies on the top of mainly inefficient and obsolete operational models, rather than facing a true in depth transformation that begins with understanding the current culture, the customers, and the overall business.
These slides, were presented to students from IIM (india) at ESPC London on July 27th 2017 with the goal to provide tomorrow's digital leaders a broad vision of what is digital transformation by looking at what and the reasons why change is happening in the business world, define Digital transformation and its dimensions through the lenses of an Experience economy and a post-industrial era. The presentation also presents the Competing Value Framework as a key tool to start understanding organsation's culture and define a digital transformation roadmap and strategy.
Author mentioned (and inspirers):
- Daniel Bell (the post-industrial society)
- Joe Pine (Experience Economy
- The ClueTrain Manifesto
- Quinn and Cameron's Competing design framework
- Brian Solis
- Nichola Negroponte
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace – from digital transformation, to marketing, to customer centricity, to population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Rapidly evolving technology is creating many opportunities for strategic technologies to rise in the market. As the demand for specific skills increases, let's look at the current trends for an IT professional to follow.
Emerging Trends in Data Architecture – What’s the Next Big Thing?DATAVERSITY
With technological innovation and change occurring at an ever-increasing rate, it’s hard to keep track of what’s hype and what can provide practical value for your organization. Join this webinar to see the results of a recent DATAVERSITY survey on emerging trends in Data Architecture, along with practical commentary and advice from industry expert Donna Burbank.
Data Lake Architecture – Modern Strategies & ApproachesDATAVERSITY
Data Lake or Data Swamp? By now, we’ve likely all heard the comparison. Data Lake architectures have the opportunity to provide the ability to integrate vast amounts of disparate data across the organization for strategic business analytic value. But without a proper architecture and metadata management strategy in place, a Data Lake can quickly devolve into a swamp of information that is difficult to understand. This webinar will offer practical strategies to architect and manage your Data Lake in a way that optimizes its success.
Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...DATAVERSITY
The majority of successful organizations in today’s economy are data-driven, and innovative companies are looking at new ways to leverage data and information for strategic advantage. While the opportunities are vast, and the value has clearly been shown across a number of industries in using data to strategic advantage, the choices in technology can be overwhelming. From Big Data to Artificial Intelligence to Data Lakes and Warehouses, the industry is continually evolving to provide new and exciting technological solutions.
This webinar will help make sense of the various data architectures & technologies available, and how to leverage them for business value and success. A practical framework will be provided to generate “quick wins” for your organization, while at the same time building towards a longer-term sustainable architecture. Case studies will also be provided to show how successful organizations have successfully built a data strategies to support their business goals.
Emerging Trends in Hybrid-Cloud & Multi-Cloud StrategiesChaitanya Atreya
As Cloud Computing rapidly evolves, newer deployment strategies such as Hybrid-Cloud, Multi-Cloud and On-Prem Cloud are emerging. More and more enterprise solution providers are offering support for a combination of these deployment targets. It is imperative that the larger organizations have a clear Hybrid-Cloud and Multi-Cloud strategy to avoid cloud lock-in and to de-risk business decisions.
What do each of these terminologies mean? What is the scope of each and overlap if any? We will discuss the emerging best-practices across these interdisciplinary trends, especially in the context of Modern Data and Analytics Platforms and Enterprise Self-Service.
How a Semantic Layer Makes Data Mesh Work at ScaleDATAVERSITY
Data Mesh is a trending approach to building a decentralized data architecture by leveraging a domain-oriented, self-service design. However, the pure definition of Data Mesh lacks a center of excellence or central data team and doesn’t address the need for a common approach for sharing data products across teams. The semantic layer is emerging as a key component to supporting a Hub and Spoke style of organizing data teams by introducing data model sharing, collaboration, and distributed ownership controls.
This session will explain how data teams can define common models and definitions with a semantic layer to decentralize analytics product creation using a Hub and Spoke architecture.
Attend this session to learn about:
- The role of a Data Mesh in the modern cloud architecture.
- How a semantic layer can serve as the binding agent to support decentralization.
- How to drive self service with consistency and control.
Business Intelligence (BI) and Data Management Basics amorshed
A one-day training course on the Concepts of Data Management and Business Intelligence (BI) in the DX age
A Basic Review of BI and DM
How to Implement BI
A review of BI Tools and 2022 Gartner Quadrant Magic
Basics of Data warehouse (DWH)
An introductions to Power BI
Components of Power BI
Steps for BI Implementation
Data Culture
Intro to ETL and ELT
OLAP files and Architecture
Digital transformation or DX review
A glance at DMBOK2.0 framework
BI Challenges
Data Governance
Data Integration
Data Security and Privacy in DMBOK2.0
Data-Driven Organization
Data and BI Maturity Model
Traditional BI
Self-service BI
who is DMP
who is BI developer
what is Metadata
what is Master data
Data Quality
Data Literacy
Benefits of BI
BI features
How does BI Works?
Modern BI
Data Analytics
BI Architecture
Data Types
Data Lake
Data Mart
Data Silo
Data Visualization
Power BI Architecture and components
Strategic Operating Model Defines How a Company Looks and Works. This document gives a good overview of the the various aspects of the concept including:
1. Understand the Linkage Between Strategy and an Operating Model.
2. Recognize the Key Components of a Company’s Operating Model.
3. Familiarize Use of Operating Models to Make Comparisons Across Companies.
Digital Transformation - another buzzword around the globe, is it? Well, it is a trend of course, but, all of trends has some reason behind them. So, what Digital Transformation stands for? What is transformed? How the transformation is done? Why do we need to transform something? This presentation focuses on answering these questions and understanding what stands behind the trend called Digital Transformation from user experience point of view.
Digital Business Transformation | Strategy + Executionfeature[23]
Speed of innovation and certainty of your digital technology strategy is your new IP.
Market leading brands know they are competing in the 3rd Industrial Revolution – The Software Economy – and they will live or die by their digital adoption. Companies mature in digital business transformation are outperforming, making more money, and are more profitable than their peers.
These Digital Leaders are proactively transforming their business models and leading their segments through the frenetic pace of social, mobile, analytics, cloud, and the Internet of Everything. Unfortunately, digital is still shrouded in confusion, viewed as a cost center, and punished with inadequate funding.
How do you transform modern businesses at scale by creating technology-based capabilities, products, services, and business outcomes that delivers your authentic brand promise?
What is Digital transformation?
Far too often digital transformation is confused with Digitalization or with Digitization with a key focus on technologies or platform. But Digital transformation is not about technologies: it's about transforming the whole prganisation through a system thinking approach and it's about rethinking operational models, business models, processes, and policies, taking people, both employees and customers at the core of the process.
Because the goal of any digital transformation is to increase value creation for the business through digitally enhanced processes that increase internal efficiency and overall customer and employee satisfaction.
Digital transformation is en emergent need in today's post-industrial society: we moved fast from an industrial to a post-industrial era, however operational models and management practices haven't evolved fast enough.
For this reason, many organisations prefer to think of Digital transformation as the adoption of digital technologies on the top of mainly inefficient and obsolete operational models, rather than facing a true in depth transformation that begins with understanding the current culture, the customers, and the overall business.
These slides, were presented to students from IIM (india) at ESPC London on July 27th 2017 with the goal to provide tomorrow's digital leaders a broad vision of what is digital transformation by looking at what and the reasons why change is happening in the business world, define Digital transformation and its dimensions through the lenses of an Experience economy and a post-industrial era. The presentation also presents the Competing Value Framework as a key tool to start understanding organsation's culture and define a digital transformation roadmap and strategy.
Author mentioned (and inspirers):
- Daniel Bell (the post-industrial society)
- Joe Pine (Experience Economy
- The ClueTrain Manifesto
- Quinn and Cameron's Competing design framework
- Brian Solis
- Nichola Negroponte
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace – from digital transformation, to marketing, to customer centricity, to population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Rapidly evolving technology is creating many opportunities for strategic technologies to rise in the market. As the demand for specific skills increases, let's look at the current trends for an IT professional to follow.
How will the #tech industry change in 2018? My team shares our predictions for how edge computing for the IoT, China’s growing tech sector, the IPO market and more will shape the industry this year:
How will the #tech industry change in 2018? My team shares our predictions for how edge computing, enterprise bots, China’s growing tech sector, a robust IPO market, and more will shape the industry this year. Original post: https://goo.gl/pks6C6
There are thirteen technologies growing up quickly.
1) Blockchain
2) 5G Network
3) Autonomous Driving
4) Human Augmentation
5) Distributed Cloud
6) DARQ Age
7) Personal Profiling
8) AI Products
9) Data Policing
10) Momentary Markets
11) Automation
12) Reskilling Human Workforce
13) Medical Upgrade
IT Infrastructure on the Verge of Technological SingularityMiraworks.io
Miraworks, the world's first multi-vender platform for IT infrastructure design, presents its vision of the industry up until 2030. The White Paper, entitled "IT Infrastructure on the Verge of Technological Singularity", covers the development trends of the global IT infrastructure, including a transition to open multivendor solutions in IT infrastructure design, looming professional IT standards, and integrated tools for designing traditional and cloud IT infrastructures.
Our report will provide a look into the technology landscape of the future, including:
- Importance of AI in enabling innovation
- Catalysts of future innovations
- Top technology trends in 2023-2024
- Main benefits of AI adoption
- Steps to prepare for future disruptions.
Download your free copy now and implement the key findings to improve your business.
Thriving in an Age of Tech Disruption.pdfMindfire LLC
Since the past decade, the pace of tech disruption has significantly grown with the increasing applications of technologies like AI, ML, and IoT. The global pandemic has only accelerated the wave of tech disruption by creating the demand for innovative and dynamic solutions.
Companies are constantly experiencing the need to innovate faster while keeping up with customer expectations so as to stay competitive. According to McKinsey, businesses adopted digital solutions 25 times faster than their own estimates during the pandemic.
Is Internet of Things (IoT) a Top Technology Investment Today?Suyati Technologies
Businesses are now taking necessary steps to gain a deeper understanding of IoT and its overall value. Let us look at this infographic, which talks about the challenges, and scope of IoT.
Similar to Digital Transformation & Cloud Profitability (20)
The case study discusses the potential of drone delivery and the challenges that need to be addressed before it becomes widespread.
Key takeaways:
Drone delivery is in its early stages: Amazon's trial in the UK demonstrates the potential for faster deliveries, but it's still limited by regulations and technology.
Regulations are a major hurdle: Safety concerns around drone collisions with airplanes and people have led to restrictions on flight height and location.
Other challenges exist: Who will use drone delivery the most? Is it cost-effective compared to traditional delivery trucks?
Discussion questions:
Managerial challenges: Integrating drones requires planning for new infrastructure, training staff, and navigating regulations. There are also marketing and recruitment considerations specific to this technology.
External forces vary by country: Regulations, consumer acceptance, and infrastructure all differ between countries.
Demographics matter: Younger generations might be more receptive to drone delivery, while older populations might have concerns.
Stakeholders for Amazon: Customers, regulators, aviation authorities, and competitors are all stakeholders. Regulators likely hold the greatest influence as they determine the feasibility of drone delivery.
Oprah Winfrey: A Leader in Media, Philanthropy, and Empowerment | CIO Women M...CIOWomenMagazine
This person is none other than Oprah Winfrey, a highly influential figure whose impact extends beyond television. This article will delve into the remarkable life and lasting legacy of Oprah. Her story serves as a reminder of the importance of perseverance, compassion, and firm determination.
Senior Project and Engineering Leader Jim Smith.pdfJim Smith
I am a Project and Engineering Leader with extensive experience as a Business Operations Leader, Technical Project Manager, Engineering Manager and Operations Experience for Domestic and International companies such as Electrolux, Carrier, and Deutz. I have developed new products using Stage Gate development/MS Project/JIRA, for the pro-duction of Medical Equipment, Large Commercial Refrigeration Systems, Appliances, HVAC, and Diesel engines.
My experience includes:
Managed customized engineered refrigeration system projects with high voltage power panels from quote to ship, coordinating actions between electrical engineering, mechanical design and application engineering, purchasing, production, test, quality assurance and field installation. Managed projects $25k to $1M per project; 4-8 per month. (Hussmann refrigeration)
Successfully developed the $15-20M yearly corporate capital strategy for manufacturing, with the Executive Team and key stakeholders. Created project scope and specifications, business case, ROI, managed project plans with key personnel for nine consumer product manufacturing and distribution sites; to support the company’s strategic sales plan.
Over 15 years of experience managing and developing cost improvement projects with key Stakeholders, site Manufacturing Engineers, Mechanical Engineers, Maintenance, and facility support personnel to optimize pro-duction operations, safety, EHS, and new product development. (BioLab, Deutz, Caire)
Experience working as a Technical Manager developing new products with chemical engineers and packaging engineers to enhance and reduce the cost of retail products. I have led the activities of multiple engineering groups with diverse backgrounds.
Great experience managing the product development of products which utilize complex electrical controls, high voltage power panels, product testing, and commissioning.
Created project scope, business case, ROI for multiple capital projects to support electrotechnical assembly and CPG goods. Identified project cost, risk, success criteria, and performed equipment qualifications. (Carrier, Electrolux, Biolab, Price, Hussmann)
Created detailed projects plans using MS Project, Gant charts in excel, and updated new product development in Jira for stakeholders and project team members including critical path.
Great knowledge of ISO9001, NFPA, OSHA regulations.
User level knowledge of MRP/SAP, MS Project, Powerpoint, Visio, Mastercontrol, JIRA, Power BI and Tableau.
I appreciate your consideration, and look forward to discussing this role with you, and how I can lead your company’s growth and profitability. I can be contacted via LinkedIn via phone or E Mail.
Jim Smith
678-993-7195
jimsmith30024@gmail.com
The Team Member and Guest Experience - Lead and Take Care of your restaurant team. They are the people closest to and delivering Hospitality to your paying Guests!
Make the call, and we can assist you.
408-784-7371
Foodservice Consulting + Design
Artificial intelligence (AI) offers new opportunities to radically reinvent the way we do business. This study explores how CEOs and top decision makers around the world are responding to the transformative potential of AI.
2. IoT
Source: Keystone Strategy, 2016
$100M average increase in operating
income among the most digitally
transformed enterprises
73% of companies survey are actively
investing in IoT
Data Growth
Source: link
Less than 1% is analyzed
$200 billion global
market by 2020
Less than 20% is secured
Huge amounts
of Data
Cloud shift will affect more than
$1 trillion in IT spending by 2020
60% computing in the
public cloud by 2025
4.4
50
163
2013 2020 2025
1 Zettabyte =
1 Billion Terabytes
1.3 Zettabyte: Estimated to
be all Internet traffic in 2016
Huge Opportunity to secure & learn
Cyber Threats
63% of confirmed data breaches involve
weak, default, or stolen passwords
>80% of employees admit using non-
approved SaaS apps for work purposes
32% of businesses reported to be affected
by cybercrimes
2 Billion records compromised in the
last year
99+ DAYS between infiltration and
detection
$17 MILLION of cost/business impact
per breach
Cybercrimes
Data Breaches
Shadow IT
Access to Technology
Source: http://www.gartner.com/newsroom/id/3142917
1 million/hour new devices coming
online by 2020
Source: World Economic Forum
Drones
3D
Printing
Industrial
Robots
DNA
Sequencing
Solar
2000 – $2.7 BN
2007 - $10 M
2017 - $50
2007 – $100K
2013 - $700
2007 – $40K
2014 - $100
2007 – $550K
2014 - $20
1984 – $30
2014 - $0.16
Cost per kWh
3. 4.4
50
163
2013 2020 2025
1 Zettabyte = 1 Billion Terabytes
1.3 Zettabyte: Estimated to be all Internet traffic in 2016
Data Growth
Smart City
250 PB per day
Connected Factory
1 PB per day
Autonomous Vehicle
5 TB per day
Smart Office
150 GB per day
68
Smart Home
50 GB per day
Smart Devices
20B IoT devices
Stadium
200 TB per game
People
1.5 GB per day
4. It’s our recognition that if you go to
bed as an industrial company, you
will wake up as a software company.
Jeffrey Immelt, CEO, GE
Silicon Valley is coming. We are going
to work hard to make our services as
seamless and competitive as theirs.
Jamie Dimon, JP Morgan CEO
BDMs are becoming
the real buyers of Digital
45%
55%
Business
Decision
MakersIT Decision
Makers
Nearly half of all IT spend was
controlled by BDMs in 2018
FOCUS
By year-end 2017, over 70% of the G500
already had dedicated Digital Transformation
and Innovation Teams.
BENEFIT
“Businesses that use AI, Big Data and IoT to uncover
new business insights will steal $1.2 trillion per year
from their less informed peers by 2020”.
PUBLIC CLOUD GROWTH
In 2019, 3rd Platform Technologies (cloud, mobile,
social, big data) and Services will drive nearly 75% of
IT spending - growing twice than total IT market.
INVESTMENT
By 2020, 50% of the G2000 will see the majority of
their business depend on their ability to create digitally
enhanced products, services, and experiences.
Source: IDC FutureScape
11. Cloud Partners value to Microsoft Cloud Solutions
Source: IDC eBook, sponsored by Microsoft, The Digital Transformation Series, Part 1: The Digital Transformation Opportunity 2018
12. Provision for peak demand
Scale-up mentality
Virtual machines
Always-on
Fixed in size
Order 3 months ahead
Think about usage
Automate everything
Optimize everything
Secure by design
Pause and Freeze as needed
Resilient and Geo available
Cloud
mindset
On-Premises
mindset