The Future of Automation: Insights from IDC and Preciselyredmondpulver
Automation’s role in digital transformation is nothing new, but the disruptions of recent years have exposed the limitations of our efforts to this point. Does that feel familiar? If so, you’re not.
We’re seeing so many companies double down on the development and deployment of automation as quickly and broadly across their organizations as possible. In other words, hyperautomation.
These efforts include adopting automation platforms with flexible, contingent workflow solutions that drive efficiencies and greater data integrity across multiple complex, data-intensive processes.
To learn more, watch our webinar – featuring guest speaker Maureen Fleming, Program Vice President for IDC's Intelligent Process Automation research, and Andrew Hayden, Sr. Product Marketing Manager at Precisely.
Maureen will share recent research and insights from IDC on the importance of process automation to digital transformation, along with predictions for the future. Andrew will then share some of the challenges we’re hearing from our customers around automating complex, data-intensive business processes, and the features you should look for in an automation platform.
You can expect to come away with insights into:
· How digital transformation and automation are evolving
· How to avoid the key challenges with automation that slow down transformation benefits
· Market perspective from the automation provider’s point of view
· How a complete automation platform supports hyperautomation success
Inside 6 Dimensional Model for Industry 4.0 Smart Factory by WeboniseWebonise Lab
Webonise uses a six dimensional approach to help manufacturing companies on their path to a Smart factory with 4th Industrial Revolution. The deep dive to pure Tech Adoption Strategies + Data Driven Play for Future Factories.
Business Intelligence, Data Analytics, and AIJohnny Jepp
The document discusses business analytics and its importance for businesses. It notes that while analytics was previously seen as only for large businesses, it is now important even for small businesses during the pandemic. The document provides predictions about the growth of machine learning, data management, and the use of prediction markets and data literacy initiatives by organizations. It also discusses trends in analytics like the focus on data strategy and democratizing data access. Finally, it provides a framework called the VIA model for conceptualizing analytics projects and an example of how it can be applied.
Modeling the Customer Journey with AWS Analytics to Drive Revenue and Retenti...Amazon Web Services
European energy provider, Innogy / Essent, has increased conversion by 9% and decreased the cost of acquisition by 50%. It uses data to understand its customers' journey and needs, offers personalized products at the right time and place, and introduces new services to increase loyalty. In this session, learn how Innogy / Essent built an advanced analytics platform on AWS using services like Amazon Kinesis, AWS Lambda, Amazon S3, Amazon QuickSight, and conversational AI with Alexa integration to improve customer retention and lifetime value, as well as offer cross-sell and upsell opportunities like smart home products, insulation, and solar panels.
The impact of Big Data and applied analytics along the value chain by Guy Per...Big Data Spain
Guy Peri, Chief Data Officer at The Procter & Gamble Company, will share how big data and applied analytics can have a real impact on how you optimize supply chain and connect with customers.
https://www.bigdataspain.org/2017/talk/impact-big-data-applied-analytics-along-value-chain
Big Data Spain 2017
November 16th - 17th Kinépolis Madrid
Fuel for the cognitive age: What's new in IBM predictive analytics IBM SPSS Software
IBM recently launched an updated version of its predictive analytics platform. Explore the latest features, including R, Python and Spark integration and more powerful decision optimization.
Learn the advantages and disadvantages of machine learning algorithms versus traditional statistical modelling approaches to solve complex business problems.
Watch full webinar here: [https://buff.ly/2R4JjBX]
Organizations today are data rich and insights poor. There is data everywhere. ERP systems, CRM systems, external data, data lakes and ponds. The real question to ask is “Are the users getting the insights they need when they need where they need to drive successful business outcomes”. Data Integration is a core pillar of the “Data to Value” journey. In this session you will hear how enterprises across industries are grappling with data, insights challenges and how organizations have adopted data virtualization to accelerate their "data to value" journeys.
Watch this Denodo DataFest 2018 session to learn:
How to reduce effort to get from data to value
Hope to gain faster time to Insights
How to reduce overall cost of ownership
The Future of Automation: Insights from IDC and Preciselyredmondpulver
Automation’s role in digital transformation is nothing new, but the disruptions of recent years have exposed the limitations of our efforts to this point. Does that feel familiar? If so, you’re not.
We’re seeing so many companies double down on the development and deployment of automation as quickly and broadly across their organizations as possible. In other words, hyperautomation.
These efforts include adopting automation platforms with flexible, contingent workflow solutions that drive efficiencies and greater data integrity across multiple complex, data-intensive processes.
To learn more, watch our webinar – featuring guest speaker Maureen Fleming, Program Vice President for IDC's Intelligent Process Automation research, and Andrew Hayden, Sr. Product Marketing Manager at Precisely.
Maureen will share recent research and insights from IDC on the importance of process automation to digital transformation, along with predictions for the future. Andrew will then share some of the challenges we’re hearing from our customers around automating complex, data-intensive business processes, and the features you should look for in an automation platform.
You can expect to come away with insights into:
· How digital transformation and automation are evolving
· How to avoid the key challenges with automation that slow down transformation benefits
· Market perspective from the automation provider’s point of view
· How a complete automation platform supports hyperautomation success
Inside 6 Dimensional Model for Industry 4.0 Smart Factory by WeboniseWebonise Lab
Webonise uses a six dimensional approach to help manufacturing companies on their path to a Smart factory with 4th Industrial Revolution. The deep dive to pure Tech Adoption Strategies + Data Driven Play for Future Factories.
Business Intelligence, Data Analytics, and AIJohnny Jepp
The document discusses business analytics and its importance for businesses. It notes that while analytics was previously seen as only for large businesses, it is now important even for small businesses during the pandemic. The document provides predictions about the growth of machine learning, data management, and the use of prediction markets and data literacy initiatives by organizations. It also discusses trends in analytics like the focus on data strategy and democratizing data access. Finally, it provides a framework called the VIA model for conceptualizing analytics projects and an example of how it can be applied.
Modeling the Customer Journey with AWS Analytics to Drive Revenue and Retenti...Amazon Web Services
European energy provider, Innogy / Essent, has increased conversion by 9% and decreased the cost of acquisition by 50%. It uses data to understand its customers' journey and needs, offers personalized products at the right time and place, and introduces new services to increase loyalty. In this session, learn how Innogy / Essent built an advanced analytics platform on AWS using services like Amazon Kinesis, AWS Lambda, Amazon S3, Amazon QuickSight, and conversational AI with Alexa integration to improve customer retention and lifetime value, as well as offer cross-sell and upsell opportunities like smart home products, insulation, and solar panels.
The impact of Big Data and applied analytics along the value chain by Guy Per...Big Data Spain
Guy Peri, Chief Data Officer at The Procter & Gamble Company, will share how big data and applied analytics can have a real impact on how you optimize supply chain and connect with customers.
https://www.bigdataspain.org/2017/talk/impact-big-data-applied-analytics-along-value-chain
Big Data Spain 2017
November 16th - 17th Kinépolis Madrid
Fuel for the cognitive age: What's new in IBM predictive analytics IBM SPSS Software
IBM recently launched an updated version of its predictive analytics platform. Explore the latest features, including R, Python and Spark integration and more powerful decision optimization.
Learn the advantages and disadvantages of machine learning algorithms versus traditional statistical modelling approaches to solve complex business problems.
Watch full webinar here: [https://buff.ly/2R4JjBX]
Organizations today are data rich and insights poor. There is data everywhere. ERP systems, CRM systems, external data, data lakes and ponds. The real question to ask is “Are the users getting the insights they need when they need where they need to drive successful business outcomes”. Data Integration is a core pillar of the “Data to Value” journey. In this session you will hear how enterprises across industries are grappling with data, insights challenges and how organizations have adopted data virtualization to accelerate their "data to value" journeys.
Watch this Denodo DataFest 2018 session to learn:
How to reduce effort to get from data to value
Hope to gain faster time to Insights
How to reduce overall cost of ownership
Big Data, Big Thinking: Untapped OpportunitiesSAP Technology
The document discusses a webinar by SAP and Ernst & Young on big data. It explores big data adoption trends, how organizations can leverage big data to improve business performance and manage risks, and common use cases across industries like retail, transportation, and government. The webinar provides guidance on how organizations can get started with big data initiatives by identifying executive sponsors, use cases, architectural gaps, and building a business case to justify investment.
This document summarizes new features in IBM's predictive analytics software products SPSS and Decision Optimization. It discusses how these products empower all users to access more data sources and deploy analytics at scale both on-premises and in the cloud. New features like expanded open source capabilities and Python integration allow for more flexible and powerful predictive modeling. Case studies demonstrate how these advanced analytics solutions have provided significant value and returns for customers across industries.
This document provides an overview and summary of new features in IBM SPSS Predictive Analytics and IBM Decision Optimization. It discusses how predictive analytics can help organizations in various industries and functional areas. Key new features highlighted include empowering every user, unlocking more data faster, ground to cloud deployment options, optional coding and open source integration, and making predictive analytics accessible everywhere. The document demonstrates how these solutions have provided quantified benefits to customers.
Google Analytics Konferenz 2019_Google Cloud Platform_Carl Fernandes & Ksenia...e-dialog GmbH
Marketing in the Cloud with Google
It's no secret that "data" and "the cloud" presents a huge opportunity for marketers - but often it's difficult to understand how exactly these famous buzzwords can really help step change performance for a business. In this talk you will learn how Google thinks about marketing in the cloud, what the key use cases are and best practices that will help advertisers prepare for the future.
Transforming Business with Smarter AnalyticsCTI Group
Transforming Business with Smarter Analytics by Deb Mukherji @ BPT IBM Innovative Indonesia with Smarter Analytics, 12 June 2013, Shangri-La Hotel Jakarta
Elevate with Intelligent Supply Chain | SlideShare | AccentureAccenture Operations
Accenture's presentation shows CSCOs can accelerate their journey to operational maturity as they embrace the future of supply chain operations. Read more
NextGen Invent Corporation is a technology solutions provider with over 600 years of combined experience across cutting-edge technologies, data science, business expertise, and strategic industry knowledge. It provides end-to-end technology solutions and services to clients, with engineering teams in both the US and India. Case studies highlight how NextGen has helped clients through digital transformation projects, building customized platforms, and providing data integration and analytics services.
Data Integration and Marketing Attribution ROIVENUE™
Microsoft and ROIVENUE™ have teamed up to provide a glimpse into the benefits of integrating all your marketing data. All about the latest advancements in data management powered by Azure and how ROIVENUE™ helps marketers identify where to best allocate their digital spend with our Marketing Attribution models and Budget Optimizer™.
- Lead scoring is a methodology used to rank marketing leads based on their perceived value. It helps sales and marketing prioritize which leads to engage with.
- Traditional lead scoring relied on limited data and rules-based scoring by contact centers. Modern approaches use machine learning on digital user behavior data from websites and apps combined with CRM data.
- The presentation provides an example of a company that saw a 22% increase in conversion rates and 18x higher return on ad spend by implementing a lead scoring solution combining online behavior data with ML models.
The document discusses artificial intelligence (AI) and Capgemini's approach to AI. It provides examples of how AI can be applied in different industries and business functions. It also outlines Capgemini's AI platform, principles, and offerings. Capgemini aims to help clients implement impactful and scalable AI solutions through a combination of technology, services, and ecosystem partnerships.
Principle Success Story: Saved over $1.4 million in annual DM spendPrinciple America
Use Case: Saved over $1.4 million in annual DM spend
For: Major airline’s eCommerce website
Client Challenge:
The client had unnecessarily large spend on their product catalog through Direct Mail. They want to reduce the number of DM sends while maintaining sales.
Principle's Approach:
- Generated data template by guiding the client to prepare a data input file.
- Setup Google BigQuery with a logistic regression model used for machine learning.
- Verified the accuracy of the model and implemented a feature value of engineering.
- Deployed a model to calculate “purchase probability resulted from the catalog”.
- Built and recommended a customer list that has a high purchase possibility.
In today’s rapidly evolving digital landscape, Artificial Intelligence (AI) has emerged as a transformative force for enterprises across various industries. By building effective enterprise AI solutions, organizations can streamline their operations, significantly enhance customer experiences, and unlock innovative pathways that were previously inaccessible.
Read full blog-https://aiveda.io/blog/how-to-build-enterprise-ai-solution
IBM Global Technology Services: Partnering for Better Business OutcomesIBM Services
IBM can help you take advantage of the changes in technology – including Cloud, Social, Mobile, and Analytics – and devise the right partnering strategy to drive innovation for your organization.
Ignatica is a digital insurance administration platform that allows insurers to launch new products in days rather than months. It provides a flexible product engine for independent and configurable product definitions. Insurers can access transaction data in real-time for advanced analytics and dynamic pricing adjustments. Ignatica's event-driven microservices architecture allows products to have unique rules and calculations while seamlessly integrating with insurers' existing systems through APIs. This approach facilitates migrating products individually to Ignatica without disrupting business operations.
The document provides information about business analytics in different industries including business analytics, automotive analytics, FMCG analytics, and e-commerce analytics. It discusses key components of business analytics including data aggregation, data mining, association/sequence identification, and forecasting. For automotive analytics, it outlines use cases for predictive analytics, data from sensors for traffic and insurance, and cost/financial tracking. Top FMCG analytics uses cases include inventory optimization, forecast optimization, and price/promotion analytics. E-commerce analytics focuses on functions like supply chain management, merchant analytics, product analytics, online marketing, and user experience analytics.
Kgaugelo Kutu is a data analyst with over 9 years of experience in data analysis, business analysis, project management, and stakeholder management. She has skills in Tableau, SQL, Python, data visualization, and advanced Excel. Kutu's professional background includes roles at Toyota South Africa where she delivered insightful analysis, championed projects, and coached team members. She has an MSc in Business Analytics and certificates in data science, business analysis, and ITIL.
Disruptions in supply chains during the pandemic meant procurement leaders needed to be more innovative
identifying and contracting with approved, sustainable
and reliable suppliers.
EY + Neo4j: Why graph technology makes sense for fraud detection and customer...Neo4j
Graph databases can help insurance companies address challenges like siloed data systems, identity resolution issues, and an inability to gain a full view of customers. They allow for a unified customer 360 view across different business units. Graph databases perform better than SQL for data that is interconnected, requires optimal querying of relationships, and has an evolving data model. Specifically for insurance, graphs can increase cross-sell/upsell opportunities, retention rates, and customer satisfaction while reducing costs and fraud. EY has experience implementing graph solutions for use cases like fraud detection and customer 360 projects.
Next Gen ADM: The future of application services.IBM
Rapid technology advances are driving higher expectations around speed, efficiency and resilience. Expectations for how technology should help meet business goals are rising. To meet increasing expectations around agility, time to value and cost optimization, Businesses are seeking new ways to manage apps. Born-digital companies are setting new standards for speed, efficiency and resilience. We will discuss how companies can optimize the core, unlock legacy and unleash digital to thrive in the new normal.
Digital Marketing with a Focus on Sustainabilitysssourabhsharma
Digital Marketing best practices including influencer marketing, content creators, and omnichannel marketing for Sustainable Brands at the Sustainable Cosmetics Summit 2024 in New York
Contenu connexe
Similaire à 🌐 Transforming Supply Chains with Generative AI
Big Data, Big Thinking: Untapped OpportunitiesSAP Technology
The document discusses a webinar by SAP and Ernst & Young on big data. It explores big data adoption trends, how organizations can leverage big data to improve business performance and manage risks, and common use cases across industries like retail, transportation, and government. The webinar provides guidance on how organizations can get started with big data initiatives by identifying executive sponsors, use cases, architectural gaps, and building a business case to justify investment.
This document summarizes new features in IBM's predictive analytics software products SPSS and Decision Optimization. It discusses how these products empower all users to access more data sources and deploy analytics at scale both on-premises and in the cloud. New features like expanded open source capabilities and Python integration allow for more flexible and powerful predictive modeling. Case studies demonstrate how these advanced analytics solutions have provided significant value and returns for customers across industries.
This document provides an overview and summary of new features in IBM SPSS Predictive Analytics and IBM Decision Optimization. It discusses how predictive analytics can help organizations in various industries and functional areas. Key new features highlighted include empowering every user, unlocking more data faster, ground to cloud deployment options, optional coding and open source integration, and making predictive analytics accessible everywhere. The document demonstrates how these solutions have provided quantified benefits to customers.
Google Analytics Konferenz 2019_Google Cloud Platform_Carl Fernandes & Ksenia...e-dialog GmbH
Marketing in the Cloud with Google
It's no secret that "data" and "the cloud" presents a huge opportunity for marketers - but often it's difficult to understand how exactly these famous buzzwords can really help step change performance for a business. In this talk you will learn how Google thinks about marketing in the cloud, what the key use cases are and best practices that will help advertisers prepare for the future.
Transforming Business with Smarter AnalyticsCTI Group
Transforming Business with Smarter Analytics by Deb Mukherji @ BPT IBM Innovative Indonesia with Smarter Analytics, 12 June 2013, Shangri-La Hotel Jakarta
Elevate with Intelligent Supply Chain | SlideShare | AccentureAccenture Operations
Accenture's presentation shows CSCOs can accelerate their journey to operational maturity as they embrace the future of supply chain operations. Read more
NextGen Invent Corporation is a technology solutions provider with over 600 years of combined experience across cutting-edge technologies, data science, business expertise, and strategic industry knowledge. It provides end-to-end technology solutions and services to clients, with engineering teams in both the US and India. Case studies highlight how NextGen has helped clients through digital transformation projects, building customized platforms, and providing data integration and analytics services.
Data Integration and Marketing Attribution ROIVENUE™
Microsoft and ROIVENUE™ have teamed up to provide a glimpse into the benefits of integrating all your marketing data. All about the latest advancements in data management powered by Azure and how ROIVENUE™ helps marketers identify where to best allocate their digital spend with our Marketing Attribution models and Budget Optimizer™.
- Lead scoring is a methodology used to rank marketing leads based on their perceived value. It helps sales and marketing prioritize which leads to engage with.
- Traditional lead scoring relied on limited data and rules-based scoring by contact centers. Modern approaches use machine learning on digital user behavior data from websites and apps combined with CRM data.
- The presentation provides an example of a company that saw a 22% increase in conversion rates and 18x higher return on ad spend by implementing a lead scoring solution combining online behavior data with ML models.
The document discusses artificial intelligence (AI) and Capgemini's approach to AI. It provides examples of how AI can be applied in different industries and business functions. It also outlines Capgemini's AI platform, principles, and offerings. Capgemini aims to help clients implement impactful and scalable AI solutions through a combination of technology, services, and ecosystem partnerships.
Principle Success Story: Saved over $1.4 million in annual DM spendPrinciple America
Use Case: Saved over $1.4 million in annual DM spend
For: Major airline’s eCommerce website
Client Challenge:
The client had unnecessarily large spend on their product catalog through Direct Mail. They want to reduce the number of DM sends while maintaining sales.
Principle's Approach:
- Generated data template by guiding the client to prepare a data input file.
- Setup Google BigQuery with a logistic regression model used for machine learning.
- Verified the accuracy of the model and implemented a feature value of engineering.
- Deployed a model to calculate “purchase probability resulted from the catalog”.
- Built and recommended a customer list that has a high purchase possibility.
In today’s rapidly evolving digital landscape, Artificial Intelligence (AI) has emerged as a transformative force for enterprises across various industries. By building effective enterprise AI solutions, organizations can streamline their operations, significantly enhance customer experiences, and unlock innovative pathways that were previously inaccessible.
Read full blog-https://aiveda.io/blog/how-to-build-enterprise-ai-solution
IBM Global Technology Services: Partnering for Better Business OutcomesIBM Services
IBM can help you take advantage of the changes in technology – including Cloud, Social, Mobile, and Analytics – and devise the right partnering strategy to drive innovation for your organization.
Ignatica is a digital insurance administration platform that allows insurers to launch new products in days rather than months. It provides a flexible product engine for independent and configurable product definitions. Insurers can access transaction data in real-time for advanced analytics and dynamic pricing adjustments. Ignatica's event-driven microservices architecture allows products to have unique rules and calculations while seamlessly integrating with insurers' existing systems through APIs. This approach facilitates migrating products individually to Ignatica without disrupting business operations.
The document provides information about business analytics in different industries including business analytics, automotive analytics, FMCG analytics, and e-commerce analytics. It discusses key components of business analytics including data aggregation, data mining, association/sequence identification, and forecasting. For automotive analytics, it outlines use cases for predictive analytics, data from sensors for traffic and insurance, and cost/financial tracking. Top FMCG analytics uses cases include inventory optimization, forecast optimization, and price/promotion analytics. E-commerce analytics focuses on functions like supply chain management, merchant analytics, product analytics, online marketing, and user experience analytics.
Kgaugelo Kutu is a data analyst with over 9 years of experience in data analysis, business analysis, project management, and stakeholder management. She has skills in Tableau, SQL, Python, data visualization, and advanced Excel. Kutu's professional background includes roles at Toyota South Africa where she delivered insightful analysis, championed projects, and coached team members. She has an MSc in Business Analytics and certificates in data science, business analysis, and ITIL.
Disruptions in supply chains during the pandemic meant procurement leaders needed to be more innovative
identifying and contracting with approved, sustainable
and reliable suppliers.
EY + Neo4j: Why graph technology makes sense for fraud detection and customer...Neo4j
Graph databases can help insurance companies address challenges like siloed data systems, identity resolution issues, and an inability to gain a full view of customers. They allow for a unified customer 360 view across different business units. Graph databases perform better than SQL for data that is interconnected, requires optimal querying of relationships, and has an evolving data model. Specifically for insurance, graphs can increase cross-sell/upsell opportunities, retention rates, and customer satisfaction while reducing costs and fraud. EY has experience implementing graph solutions for use cases like fraud detection and customer 360 projects.
Next Gen ADM: The future of application services.IBM
Rapid technology advances are driving higher expectations around speed, efficiency and resilience. Expectations for how technology should help meet business goals are rising. To meet increasing expectations around agility, time to value and cost optimization, Businesses are seeking new ways to manage apps. Born-digital companies are setting new standards for speed, efficiency and resilience. We will discuss how companies can optimize the core, unlock legacy and unleash digital to thrive in the new normal.
Similaire à 🌐 Transforming Supply Chains with Generative AI (20)
Digital Marketing with a Focus on Sustainabilitysssourabhsharma
Digital Marketing best practices including influencer marketing, content creators, and omnichannel marketing for Sustainable Brands at the Sustainable Cosmetics Summit 2024 in New York
𝐔𝐧𝐯𝐞𝐢𝐥 𝐭𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐄𝐧𝐞𝐫𝐠𝐲 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 𝐰𝐢𝐭𝐡 𝐍𝐄𝐖𝐍𝐓𝐈𝐃𝐄’𝐬 𝐋𝐚𝐭𝐞𝐬𝐭 𝐎𝐟𝐟𝐞𝐫𝐢𝐧𝐠𝐬
Explore the details in our newly released product manual, which showcases NEWNTIDE's advanced heat pump technologies. Delve into our energy-efficient and eco-friendly solutions tailored for diverse global markets.
Best practices for project execution and deliveryCLIVE MINCHIN
A select set of project management best practices to keep your project on-track, on-cost and aligned to scope. Many firms have don't have the necessary skills, diligence, methods and oversight of their projects; this leads to slippage, higher costs and longer timeframes. Often firms have a history of projects that simply failed to move the needle. These best practices will help your firm avoid these pitfalls but they require fortitude to apply.
[To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
This presentation is a curated compilation of PowerPoint diagrams and templates designed to illustrate 20 different digital transformation frameworks and models. These frameworks are based on recent industry trends and best practices, ensuring that the content remains relevant and up-to-date.
Key highlights include Microsoft's Digital Transformation Framework, which focuses on driving innovation and efficiency, and McKinsey's Ten Guiding Principles, which provide strategic insights for successful digital transformation. Additionally, Forrester's framework emphasizes enhancing customer experiences and modernizing IT infrastructure, while IDC's MaturityScape helps assess and develop organizational digital maturity. MIT's framework explores cutting-edge strategies for achieving digital success.
These materials are perfect for enhancing your business or classroom presentations, offering visual aids to supplement your insights. Please note that while comprehensive, these slides are intended as supplementary resources and may not be complete for standalone instructional purposes.
Frameworks/Models included:
Microsoft’s Digital Transformation Framework
McKinsey’s Ten Guiding Principles of Digital Transformation
Forrester’s Digital Transformation Framework
IDC’s Digital Transformation MaturityScape
MIT’s Digital Transformation Framework
Gartner’s Digital Transformation Framework
Accenture’s Digital Strategy & Enterprise Frameworks
Deloitte’s Digital Industrial Transformation Framework
Capgemini’s Digital Transformation Framework
PwC’s Digital Transformation Framework
Cisco’s Digital Transformation Framework
Cognizant’s Digital Transformation Framework
DXC Technology’s Digital Transformation Framework
The BCG Strategy Palette
McKinsey’s Digital Transformation Framework
Digital Transformation Compass
Four Levels of Digital Maturity
Design Thinking Framework
Business Model Canvas
Customer Journey Map
[To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
This PowerPoint compilation offers a comprehensive overview of 20 leading innovation management frameworks and methodologies, selected for their broad applicability across various industries and organizational contexts. These frameworks are valuable resources for a wide range of users, including business professionals, educators, and consultants.
Each framework is presented with visually engaging diagrams and templates, ensuring the content is both informative and appealing. While this compilation is thorough, please note that the slides are intended as supplementary resources and may not be sufficient for standalone instructional purposes.
This compilation is ideal for anyone looking to enhance their understanding of innovation management and drive meaningful change within their organization. Whether you aim to improve product development processes, enhance customer experiences, or drive digital transformation, these frameworks offer valuable insights and tools to help you achieve your goals.
INCLUDED FRAMEWORKS/MODELS:
1. Stanford’s Design Thinking
2. IDEO’s Human-Centered Design
3. Strategyzer’s Business Model Innovation
4. Lean Startup Methodology
5. Agile Innovation Framework
6. Doblin’s Ten Types of Innovation
7. McKinsey’s Three Horizons of Growth
8. Customer Journey Map
9. Christensen’s Disruptive Innovation Theory
10. Blue Ocean Strategy
11. Strategyn’s Jobs-To-Be-Done (JTBD) Framework with Job Map
12. Design Sprint Framework
13. The Double Diamond
14. Lean Six Sigma DMAIC
15. TRIZ Problem-Solving Framework
16. Edward de Bono’s Six Thinking Hats
17. Stage-Gate Model
18. Toyota’s Six Steps of Kaizen
19. Microsoft’s Digital Transformation Framework
20. Design for Six Sigma (DFSS)
To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations
NIMA2024 | De toegevoegde waarde van DEI en ESG in campagnes | Nathalie Lam |...BBPMedia1
Nathalie zal delen hoe DEI en ESG een fundamentele rol kunnen spelen in je merkstrategie en je de juiste aansluiting kan creëren met je doelgroep. Door middel van voorbeelden en simpele handvatten toont ze hoe dit in jouw organisatie toegepast kan worden.
Storytelling is an incredibly valuable tool to share data and information. To get the most impact from stories there are a number of key ingredients. These are based on science and human nature. Using these elements in a story you can deliver information impactfully, ensure action and drive change.
Discover timeless style with the 2022 Vintage Roman Numerals Men's Ring. Crafted from premium stainless steel, this 6mm wide ring embodies elegance and durability. Perfect as a gift, it seamlessly blends classic Roman numeral detailing with modern sophistication, making it an ideal accessory for any occasion.
https://rb.gy/usj1a2
The Most Inspiring Entrepreneurs to Follow in 2024.pdfthesiliconleaders
In a world where the potential of youth innovation remains vastly untouched, there emerges a guiding light in the form of Norm Goldstein, the Founder and CEO of EduNetwork Partners. His dedication to this cause has earned him recognition as a Congressional Leadership Award recipient.
Starting a business is like embarking on an unpredictable adventure. It’s a journey filled with highs and lows, victories and defeats. But what if I told you that those setbacks and failures could be the very stepping stones that lead you to fortune? Let’s explore how resilience, adaptability, and strategic thinking can transform adversity into opportunity.
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Industrial Tech SW: Category Renewal and CreationChristian Dahlen
Every industrial revolution has created a new set of categories and a new set of players.
Multiple new technologies have emerged, but Samsara and C3.ai are only two companies which have gone public so far.
Manufacturing startups constitute the largest pipeline share of unicorns and IPO candidates in the SF Bay Area, and software startups dominate in Germany.
Top 10 Free Accounting and Bookkeeping Apps for Small BusinessesYourLegal Accounting
Maintaining a proper record of your money is important for any business whether it is small or large. It helps you stay one step ahead in the financial race and be aware of your earnings and any tax obligations.
However, managing finances without an entire accounting staff can be challenging for small businesses.
Accounting apps can help with that! They resemble your private money manager.
They organize all of your transactions automatically as soon as you link them to your corporate bank account. Additionally, they are compatible with your phone, allowing you to monitor your finances from anywhere. Cool, right?
Thus, we’ll be looking at several fantastic accounting apps in this blog that will help you develop your business and save time.
Unveiling the Dynamic Personalities, Key Dates, and Horoscope Insights: Gemin...my Pandit
Explore the fascinating world of the Gemini Zodiac Sign. Discover the unique personality traits, key dates, and horoscope insights of Gemini individuals. Learn how their sociable, communicative nature and boundless curiosity make them the dynamic explorers of the zodiac. Dive into the duality of the Gemini sign and understand their intellectual and adventurous spirit.
2. Generative AI - Explained
• In simple terms it can be thought of as a kind of smart computer
program that's really good at creating new things.
• Imagine you have a magic art box that can draw new pictures or write
stories all by itself when you ask it to.
• This art box uses what it has learned from looking at lots of other
pictures and stories to make something new and different each time
3. 📊 Generative AI's Rising Demand
• 77% of Executives' Endorsement: Recognized as a pivotal technology
to boost productivity and collaboration.
• Operations as a Priority: Over half the executives see immediate
opportunities in operational deployment.
•
* KPMG - Supply chain leaders consider generative AI’s potential (2023)
4. 🤖 AI-Powered Efficiency & Enhancing
Customer Service : Utilize generative AI
to enhance interactions across
partners, assets, and inventory.
5. 1️⃣ Network Service
Collaboration
📈 Case Study:
A global sustainable energy specialist implemented
generative AI in their customer service platform to assist
teams in drafting detailed and effective email responses.
• This AI application led to an 18% increase in customer
happiness scores compared to emails written solely by
humans. The AI system now responds to a third of all
customer inquiry emails, freeing up agents to focus on
more complex tasks.
6. ⚙️ Optimizing Complex Processes:
Implement generative AI for policy and
procedure optimization across supply
chain functions.
7. 2️⃣ Operations Excellence
and Improvement
📊 Case Study: A case study involving BMW highlights how
Industrial Generative AI was applied to optimize their
manufacturing plant scheduling to meet production targets
while minimizing idle time
• BMW worked with Zapata AI to employ a technique
called Generator-Enhanced Optimization (GEO), which
outperformed traditional state-of-the-art optimization
solvers in 71% of problem configurations
9. 3️⃣ Product and Inventory
Evaluation
📦 Case Study: Logistics companies like DHL are leveraging
generative AI for dynamic route optimization, considering
real-time data such as traffic conditions and weather
• DHL has launched a powerful algorithm for optimizing
delivery routes and stop sequences that can save up
to 20% in costs compared to standard route
optimization solutions
10. 🔑 Key Success Factors
•Value, Scalability, Adoption: Focus on
these principles for effective generative
AI implementation.
•Overcoming Barriers: Address strategy,
investment, and adoption challenges for
successful integration.