Digital Learning is driving a chang that provokes different interactions with learners. A cone of digital learning can be built from no interaction via automated, algorithmic interaction to human interaction.
The document discusses the future of artificial intelligence (AI). It outlines three levels of AI: narrow AI, which focuses on single tasks; broad AI, which can perform multiple tasks across domains; and general AI, which can perform any intellectual task. It notes that currently we are in the narrow AI stage but moving toward broad AI. The document also discusses how AI capabilities will evolve over time to match and eventually exceed human abilities through advances in machine learning and computing power. It outlines an envisioned timeline for AI progressing from perception and pattern recognition capabilities to advanced reasoning, social skills, and autonomy.
The document discusses the evolution and future of artificial intelligence (AI). It describes AI as progressing from narrow AI, which can perform single tasks, to broad AI, which can perform multiple tasks across domains, and finally general AI, which would have human-level intelligence. It presents a timeline showing AI is currently in the narrow and emerging broad phase, with general AI expected in 2050 and beyond. The document also discusses how AI progress can be measured using open benchmarks and leaderboards to solve tasks like perception, cognition, and relationships.
The document summarizes an AI4Good Hackathon event. It provides details on several building blocks that are improving for AI and sustainability applications, including an artificial leaf that can produce liquid fuel from sunlight more efficiently than photosynthesis, and a protein reactor that can create food from electricity nearly 10 times more efficiently than photosynthesis. It also discusses an exoskeleton being developed to help the elderly move with more dignity and freedom. The document promotes the Call for Code initiative, which challenges developers to create applications to address humanitarian issues using AI and cloud technologies. It provides an overview of the 2018 challenge and highlights the winning Project OWL application and some of the other top finalists.
The document discusses engineering robots and cognitive systems to augment humans and create smarter service systems, highlighting how cognitive tools can take various forms from assistants to mediators and how they will continue improving over time as they gain more experience and people work together with these systems.
The document discusses the future of AI, including how AI has progressed over time from early systems like Deep Blue and Watson to current advances in deep learning for pattern recognition, but that commonsense reasoning will still take many more years of research. It outlines a timeline for solving different AI problems based on leaderboards and benchmarks, and discusses implications for stakeholders in preparing for both the benefits and risks of advancing AI technologies.
The document discusses the future of artificial intelligence (AI). It outlines three levels of AI: narrow AI, which focuses on single tasks; broad AI, which can perform multiple tasks across domains; and general AI, which can perform any intellectual task. It notes that currently we are in the narrow AI stage but moving toward broad AI. The document also discusses how AI capabilities will evolve over time to match and eventually exceed human abilities through advances in machine learning and computing power. It outlines an envisioned timeline for AI progressing from perception and pattern recognition capabilities to advanced reasoning, social skills, and autonomy.
The document discusses the evolution and future of artificial intelligence (AI). It describes AI as progressing from narrow AI, which can perform single tasks, to broad AI, which can perform multiple tasks across domains, and finally general AI, which would have human-level intelligence. It presents a timeline showing AI is currently in the narrow and emerging broad phase, with general AI expected in 2050 and beyond. The document also discusses how AI progress can be measured using open benchmarks and leaderboards to solve tasks like perception, cognition, and relationships.
The document summarizes an AI4Good Hackathon event. It provides details on several building blocks that are improving for AI and sustainability applications, including an artificial leaf that can produce liquid fuel from sunlight more efficiently than photosynthesis, and a protein reactor that can create food from electricity nearly 10 times more efficiently than photosynthesis. It also discusses an exoskeleton being developed to help the elderly move with more dignity and freedom. The document promotes the Call for Code initiative, which challenges developers to create applications to address humanitarian issues using AI and cloud technologies. It provides an overview of the 2018 challenge and highlights the winning Project OWL application and some of the other top finalists.
The document discusses engineering robots and cognitive systems to augment humans and create smarter service systems, highlighting how cognitive tools can take various forms from assistants to mediators and how they will continue improving over time as they gain more experience and people work together with these systems.
The document discusses the future of AI, including how AI has progressed over time from early systems like Deep Blue and Watson to current advances in deep learning for pattern recognition, but that commonsense reasoning will still take many more years of research. It outlines a timeline for solving different AI problems based on leaderboards and benchmarks, and discusses implications for stakeholders in preparing for both the benefits and risks of advancing AI technologies.
Jim from IBM discusses various topics related to artificial intelligence including:
- The timeline for solving different AI problems and reaching human-level performance on benchmarks.
- Leaders and communities driving progress in open source AI.
- Potential benefits of AI including increasing productivity and GDP, as well as risks that need to be addressed.
- Preparing students and citizens for future jobs and skills needed in an increasingly automated world.
- The importance of open source communities working on challenges like bias and fairness in AI.
This document summarizes Jim Spohrer's presentation on preparing for the future with open artificial intelligence. It discusses IBM's involvement in open source communities and Kaggle leaderboards for tracking AI progress. The presentation outlines a benchmark roadmap for developing AI abilities from perception to cognition to relationships. It suggests experts may be surprised if human-level AI is achieved in less than 20 years due to rapidly decreasing compute costs. Other technologies like augmented reality, blockchain, and advanced materials may have an even bigger impact by transforming industries. The document concludes by encouraging preparation for this future through open technology AI and challenges on platforms like GitHub and Kaggle.
Jim Spohrer gave a presentation on preparing for the future with open artificial intelligence from a service science perspective. He thanked the organizers for the invitation and discussed four books related to scientific progress and responsibility to future generations. Spohrer explained that service science draws from various disciplines to study value co-creation phenomena and the evolution of complex service systems. He outlined IBM's involvement in establishing service science and discussed concepts like service-dominant logic. Spohrer concluded by taking questions on topics like the timeline for solving AI and implications for stakeholders.
This document discusses trust in interactions with cognitive assistants. It begins by defining cognitive assistants as new decision tools that can augment human capabilities by understanding our environment with depth and clarity. Cognitive assistants can provide high-quality recommendations to help people make better data-driven decisions, and significantly augment people's problem-solving abilities through interaction. The document then discusses components of trust from different academic disciplines, such as ability, benevolence, integrity, predictability, and shared values. It poses questions about what jobs will remain for humans and ethical issues regarding situations like domestic violence. The document conjectures that AI combined with other information sources could surpass average professionals in some areas. It also speculates that societies of AI may form to optimize tasks in
Jim Spohrer from IBM gave a presentation at the NSF about the future of AI and education. He discussed that AI progress is being measured using open leaderboards and benchmarks. The timeline for solving difficult AI problems like commonsense reasoning and learning from reading is estimated to be between 2021-2030. The biggest benefits of AI will be increased productivity and access to expertise, while the main risks are job loss and potential for misuse. Other technologies like augmented reality may have an even bigger impact. Stakeholders in AI include individuals, businesses, and governments. To prepare for AI, people should learn skills like coding and understanding open source tools and data.
Jim from IBM discusses the future of AI. He talks about successes in AI such as image recognition and challenges such as commonsense reasoning. IBM has launched various initiatives related to AI such as the IBM-MIT collaboration and IBM Quantum. The Center for Open Source Data and AI Technologies (CODAIT) aims to make AI solutions easier to create and deploy using open source. The talk discusses types of AI systems, where AI is in the hype cycle, and how data is becoming AI. It outlines a roadmap for solving AI using leaderboards and better building blocks and discusses implications for identity, trust and resilience.
This document discusses the future of artificial intelligence and cognitive systems. It presents a timeline for solving various AI problems from 2012 to 2039. It also discusses experts who may be surprised if certain problems are solved faster or slower than predicted. The document outlines leaders and benchmarks in AI progress. It discusses the potential benefits of AI, such as increased productivity and access to expertise, as well as risks like job loss and potential issues from superintelligence. It suggests strategies for stakeholders to prepare for and benefit from advances in AI.
This document discusses how service-based business models are disrupting traditional industries. It notes that the largest taxi, media, retail, and accommodation companies own few or no physical assets. Something interesting is happening - digital platforms are allowing new types of businesses to thrive without owning the core assets or creating content themselves. The document then examines how different economic logics (industrial, information, generative) shape business challenges, management approaches, and organizational forms over time as technologies change. It argues we are moving from products as physical goods to platforms and experiences, and from value captured upfront to ongoing "procrastinated binding" of customers. Actors now include people, things, data and algorithms in a complex socio-material reality
The document provides an overview of IBM's journey towards becoming a services company. It discusses IBM's revenue by sector over time as it transitioned from hardware to services. It also outlines the stages of this journey and lessons learned, including the importance of open innovation and the flow of talent, technology, trust, and truth in changing business models. The presentation concludes by discussing future-ready skills and implications for stakeholders as AI progresses.
The document discusses future directions and timelines for artificial intelligence (AI). It provides a projected timeline for when different AI capabilities may be achieved and at what cost. Some key points discussed include:
- By 2040, "narrow AI" systems capable of specific tasks like recognition may cost around $1,000, and "broad AI" systems capable of reasoning may follow by 2060 at similar costs.
- Labor costs are projected to decrease over time relative to the decreasing costs of AI systems, with digital workers potentially outcompeting human labor on a cost basis.
- An framework of AI progress and capabilities is presented, spanning perception, cognition, relationships and roles. Milestones and benchmark leaderboards are discussed
Digital Innovation, Reverse Semiotics, and Generative EconomicsYoungjin Yoo
The document discusses the emergence of new economic logics driven by digital technologies and platforms. It outlines three economic logics: industrial economics focused on physical assets, information economics focused on managing complexity through modularization, and generative economics focused on open innovation through mutation and recombination. Generative economics involves the separation of form and function through universal computing and networks, allowing for highly configurable products and services. This has implications for what constitutes a firm, product, and value creation as products become service delivery platforms and value is created through ongoing use.
The document discusses preparing for the future of artificial intelligence. It provides a timeline for solving major AI problems from 2012 to 2035. Leaders in AI are discussed as China, the US, Europe, and other regions. Companies like Microsoft, Google, and IBM are highlighted. The biggest benefits of AI are seen as access to expertise, improved productivity and collaborations. Risks include potential job losses and risks from bad actors if superintelligence is achieved. Other technologies like augmented reality, blockchain, and new materials/energy systems may have an even bigger impact. Stakeholders that need to prepare include individuals, businesses, industries, and governments at all levels.
Presentation at VNMG BIM day 9 April 2013.
I would like to acknowledge Josef Hargrave (Arup Foresight & Innovation) for providing some of the excellent material in this presentation.
The document outlines a framework for tracking AI progress on open leaderboards and benchmarks over time. It includes a roadmap showing the approximate years that AI is projected to reach various levels of human capabilities, such as pattern recognition, developing cognition, building relationships and filling roles. The roadmap also lists specific leaderboards and benchmarks aligned with these capabilities that can be used to measure progress, such as ImageNet, SQuAD, and ConvAI.
This document summarizes a presentation given by Sunny Webb at the Inside 3D Printing Conference on April 3rd, 2014 about digital supply chains. The presentation discussed how digital technology is disrupting traditional business models and supply chains. It noted that digital technologies like 3D printing and the internet of things will allow for more personalized and on-demand manufacturing. The presentation also provided statistics on the growth of the 3D printing industry and examples of how companies are using 3D printing in areas like prototyping, manufacturing and supply chain optimization.
The document is a slide presentation given by Jim Spohrer of IBM on October 12, 2017 about artificial intelligence (AI) and intelligence augmentation (IA). Some key points from the presentation include:
- AI has made progress in areas like pattern recognition, learning from large labeled datasets, and games/translation but still faces challenges in video understanding, episodic memory, commonsense reasoning and more.
- IA pairs people with AI/cognitive systems to enhance human capabilities. As AI capabilities progress over time, cognitive systems may become collaborative partners, coaches, and mediators to help people.
- Future benefits of AI include access to expertise to boost productivity and better choices through collaboration, while near term risks include job loss
The document discusses the future of artificial intelligence and outlines key topics. It notes that narrow AI focused on pattern recognition is developing rapidly due to increased computing power and data, while broad, human-level AI will be much more difficult to achieve and is estimated to still be over a decade away. The document also examines the timeline and challenges of progressing from current narrow AI to advanced artificial intelligence, identifies leading organizations and countries in AI research and development, and discusses some of the potential benefits and risks of AI technology. It emphasizes the importance of open data, models and code in advancing AI for the benefit of all.
Capgemini Consulting Digital Transformation Review No. 5Capgemini
Capgemini Consulting's digital transformation business journal looks at the digitization of operations, taking in robotics, 3D printing, and the second machine age, as well as opinion and insight from guest contributors including Neelie Kroes, Vice President of the European Commission. Read the full review to find out more or join the conversation on twitter #DTR5
The Second Machine Age is upon us, according to Erik Brynjolfsson and Andrew McAfee of MIT. This era is defined by machines that can perform cognitive tasks previously only done by humans. Two defining digital technologies are big data and machine intelligence/robotics. Brynjolfsson and McAfee believe this machine age will have a greater impact than the first industrial revolution due to exponential improvements in computing and the combinatorial nature of digital innovation. However, most organizations have focused digital transformations on the customer experience while neglecting opportunities in automating operational processes using these technologies.
Jim from IBM discusses various topics related to artificial intelligence including:
- The timeline for solving different AI problems and reaching human-level performance on benchmarks.
- Leaders and communities driving progress in open source AI.
- Potential benefits of AI including increasing productivity and GDP, as well as risks that need to be addressed.
- Preparing students and citizens for future jobs and skills needed in an increasingly automated world.
- The importance of open source communities working on challenges like bias and fairness in AI.
This document summarizes Jim Spohrer's presentation on preparing for the future with open artificial intelligence. It discusses IBM's involvement in open source communities and Kaggle leaderboards for tracking AI progress. The presentation outlines a benchmark roadmap for developing AI abilities from perception to cognition to relationships. It suggests experts may be surprised if human-level AI is achieved in less than 20 years due to rapidly decreasing compute costs. Other technologies like augmented reality, blockchain, and advanced materials may have an even bigger impact by transforming industries. The document concludes by encouraging preparation for this future through open technology AI and challenges on platforms like GitHub and Kaggle.
Jim Spohrer gave a presentation on preparing for the future with open artificial intelligence from a service science perspective. He thanked the organizers for the invitation and discussed four books related to scientific progress and responsibility to future generations. Spohrer explained that service science draws from various disciplines to study value co-creation phenomena and the evolution of complex service systems. He outlined IBM's involvement in establishing service science and discussed concepts like service-dominant logic. Spohrer concluded by taking questions on topics like the timeline for solving AI and implications for stakeholders.
This document discusses trust in interactions with cognitive assistants. It begins by defining cognitive assistants as new decision tools that can augment human capabilities by understanding our environment with depth and clarity. Cognitive assistants can provide high-quality recommendations to help people make better data-driven decisions, and significantly augment people's problem-solving abilities through interaction. The document then discusses components of trust from different academic disciplines, such as ability, benevolence, integrity, predictability, and shared values. It poses questions about what jobs will remain for humans and ethical issues regarding situations like domestic violence. The document conjectures that AI combined with other information sources could surpass average professionals in some areas. It also speculates that societies of AI may form to optimize tasks in
Jim Spohrer from IBM gave a presentation at the NSF about the future of AI and education. He discussed that AI progress is being measured using open leaderboards and benchmarks. The timeline for solving difficult AI problems like commonsense reasoning and learning from reading is estimated to be between 2021-2030. The biggest benefits of AI will be increased productivity and access to expertise, while the main risks are job loss and potential for misuse. Other technologies like augmented reality may have an even bigger impact. Stakeholders in AI include individuals, businesses, and governments. To prepare for AI, people should learn skills like coding and understanding open source tools and data.
Jim from IBM discusses the future of AI. He talks about successes in AI such as image recognition and challenges such as commonsense reasoning. IBM has launched various initiatives related to AI such as the IBM-MIT collaboration and IBM Quantum. The Center for Open Source Data and AI Technologies (CODAIT) aims to make AI solutions easier to create and deploy using open source. The talk discusses types of AI systems, where AI is in the hype cycle, and how data is becoming AI. It outlines a roadmap for solving AI using leaderboards and better building blocks and discusses implications for identity, trust and resilience.
This document discusses the future of artificial intelligence and cognitive systems. It presents a timeline for solving various AI problems from 2012 to 2039. It also discusses experts who may be surprised if certain problems are solved faster or slower than predicted. The document outlines leaders and benchmarks in AI progress. It discusses the potential benefits of AI, such as increased productivity and access to expertise, as well as risks like job loss and potential issues from superintelligence. It suggests strategies for stakeholders to prepare for and benefit from advances in AI.
This document discusses how service-based business models are disrupting traditional industries. It notes that the largest taxi, media, retail, and accommodation companies own few or no physical assets. Something interesting is happening - digital platforms are allowing new types of businesses to thrive without owning the core assets or creating content themselves. The document then examines how different economic logics (industrial, information, generative) shape business challenges, management approaches, and organizational forms over time as technologies change. It argues we are moving from products as physical goods to platforms and experiences, and from value captured upfront to ongoing "procrastinated binding" of customers. Actors now include people, things, data and algorithms in a complex socio-material reality
The document provides an overview of IBM's journey towards becoming a services company. It discusses IBM's revenue by sector over time as it transitioned from hardware to services. It also outlines the stages of this journey and lessons learned, including the importance of open innovation and the flow of talent, technology, trust, and truth in changing business models. The presentation concludes by discussing future-ready skills and implications for stakeholders as AI progresses.
The document discusses future directions and timelines for artificial intelligence (AI). It provides a projected timeline for when different AI capabilities may be achieved and at what cost. Some key points discussed include:
- By 2040, "narrow AI" systems capable of specific tasks like recognition may cost around $1,000, and "broad AI" systems capable of reasoning may follow by 2060 at similar costs.
- Labor costs are projected to decrease over time relative to the decreasing costs of AI systems, with digital workers potentially outcompeting human labor on a cost basis.
- An framework of AI progress and capabilities is presented, spanning perception, cognition, relationships and roles. Milestones and benchmark leaderboards are discussed
Digital Innovation, Reverse Semiotics, and Generative EconomicsYoungjin Yoo
The document discusses the emergence of new economic logics driven by digital technologies and platforms. It outlines three economic logics: industrial economics focused on physical assets, information economics focused on managing complexity through modularization, and generative economics focused on open innovation through mutation and recombination. Generative economics involves the separation of form and function through universal computing and networks, allowing for highly configurable products and services. This has implications for what constitutes a firm, product, and value creation as products become service delivery platforms and value is created through ongoing use.
The document discusses preparing for the future of artificial intelligence. It provides a timeline for solving major AI problems from 2012 to 2035. Leaders in AI are discussed as China, the US, Europe, and other regions. Companies like Microsoft, Google, and IBM are highlighted. The biggest benefits of AI are seen as access to expertise, improved productivity and collaborations. Risks include potential job losses and risks from bad actors if superintelligence is achieved. Other technologies like augmented reality, blockchain, and new materials/energy systems may have an even bigger impact. Stakeholders that need to prepare include individuals, businesses, industries, and governments at all levels.
Presentation at VNMG BIM day 9 April 2013.
I would like to acknowledge Josef Hargrave (Arup Foresight & Innovation) for providing some of the excellent material in this presentation.
The document outlines a framework for tracking AI progress on open leaderboards and benchmarks over time. It includes a roadmap showing the approximate years that AI is projected to reach various levels of human capabilities, such as pattern recognition, developing cognition, building relationships and filling roles. The roadmap also lists specific leaderboards and benchmarks aligned with these capabilities that can be used to measure progress, such as ImageNet, SQuAD, and ConvAI.
This document summarizes a presentation given by Sunny Webb at the Inside 3D Printing Conference on April 3rd, 2014 about digital supply chains. The presentation discussed how digital technology is disrupting traditional business models and supply chains. It noted that digital technologies like 3D printing and the internet of things will allow for more personalized and on-demand manufacturing. The presentation also provided statistics on the growth of the 3D printing industry and examples of how companies are using 3D printing in areas like prototyping, manufacturing and supply chain optimization.
The document is a slide presentation given by Jim Spohrer of IBM on October 12, 2017 about artificial intelligence (AI) and intelligence augmentation (IA). Some key points from the presentation include:
- AI has made progress in areas like pattern recognition, learning from large labeled datasets, and games/translation but still faces challenges in video understanding, episodic memory, commonsense reasoning and more.
- IA pairs people with AI/cognitive systems to enhance human capabilities. As AI capabilities progress over time, cognitive systems may become collaborative partners, coaches, and mediators to help people.
- Future benefits of AI include access to expertise to boost productivity and better choices through collaboration, while near term risks include job loss
The document discusses the future of artificial intelligence and outlines key topics. It notes that narrow AI focused on pattern recognition is developing rapidly due to increased computing power and data, while broad, human-level AI will be much more difficult to achieve and is estimated to still be over a decade away. The document also examines the timeline and challenges of progressing from current narrow AI to advanced artificial intelligence, identifies leading organizations and countries in AI research and development, and discusses some of the potential benefits and risks of AI technology. It emphasizes the importance of open data, models and code in advancing AI for the benefit of all.
Capgemini Consulting Digital Transformation Review No. 5Capgemini
Capgemini Consulting's digital transformation business journal looks at the digitization of operations, taking in robotics, 3D printing, and the second machine age, as well as opinion and insight from guest contributors including Neelie Kroes, Vice President of the European Commission. Read the full review to find out more or join the conversation on twitter #DTR5
The Second Machine Age is upon us, according to Erik Brynjolfsson and Andrew McAfee of MIT. This era is defined by machines that can perform cognitive tasks previously only done by humans. Two defining digital technologies are big data and machine intelligence/robotics. Brynjolfsson and McAfee believe this machine age will have a greater impact than the first industrial revolution due to exponential improvements in computing and the combinatorial nature of digital innovation. However, most organizations have focused digital transformations on the customer experience while neglecting opportunities in automating operational processes using these technologies.
Digital transformation review no 5 dtr - capgemini consulting - digitaltran...Rick Bouter
This document discusses how most organizations have focused their digital transformation efforts on customer-facing areas rather than operations. It highlights emerging technologies like big data, machine learning, robotics, and 3D printing that can automate and improve operational processes. The document features interviews with thought leaders from companies like ABB, UPS, HMRC, edX, and Stratasys discussing how they are leveraging these technologies to digitize their operations and drive efficiencies. It also examines the underutilization of big data analytics and lack of skills in this area among many organizations.
Industry and academic partnerships july 2015 finalSteven Miller
The document discusses building skills to address the growing demand for data professionals through partnerships between IBM and academia, including providing free access to IBM's Bluemix platform and Watson cognitive services for students and faculty to develop skills in areas such as data science, data engineering, and data policy. It also outlines programs and competitions IBM sponsors to engage students in building data skills and foster collaboration between universities and IBM researchers.
Wall Street Tech Conference_2015_Pooneh Mohazzabipooneh mohazzabi
Digital technologies are significantly impacting customer expectations in the banking industry. Customers now expect services to be available anytime, anywhere, personalized, accurate, seamless and continuously innovative. This has disrupted traditional banking models and forced banks to rethink their value proposition and competitive advantage. Additionally, digital natives entering the market will require products tailored to their needs and preferences. Banks must embrace digital innovation to both drive revenue growth and reduce costs in order to remain competitive in this new environment.
The document provides information about the "DigIT Europe" conference taking place from 21-23 June 2016 in Amsterdam. The conference will focus on digital business models, product development, and growth through innovation. Over the three days, there will be keynote speeches, panels, case studies and workshops on topics related to digital disruption and transformation. Attendees will include executives such as Chief Digital Officers, Chief Information Officers, and heads of digital from various industries including banking, technology, automotive and energy. The conference aims to help businesses unlock the potential of digital innovation and disruptive technologies to change their operating models and capture value from data and new digital capabilities.
You can receive our Powerpoint slides by sharing this presentation and submitting your email at www.slidebooks.com | Digital Transformation Strategy Template and Training | By ex-Deloitte and McKinsey Consultants
TheValueChain Beyond Simple 10-05-16 - Introduction to your digital fitnessTheValueChain
The document discusses digital transformation and how companies can execute a digital strategy. It notes that companies are now in the digital age and digital transformation is about connecting people, machines, and their experiences. It outlines five pillars that can form the basis of a digital strategy: assets and internet of things, workforce engagement, customer experience, supplier collaboration, and core business processes. It states that a classic ERP system alone will not be sufficient and that SAP S/4 HANA is the digital platform needed to achieve a company's digital strategy. It encourages companies to start their digital transformation early.
As technology has evolved IT has transitioned from a background support function to a core driver of value creation and competitive edge. This shift has placed senior technologists at the heart of the organisation where they are increasingly critical to decision making, strategy and leadership.
The DIGIT Leader Summit will explore the evolution of the IT & Digital profession, considering the key technology and business trends and the profound impact they are having on the role. The programme will also examine the crucial components of leadership, looking at culture; team building, upskilling and communication.
The Summit is geared for senior IT & Digital leaders, and designed to provide an opportune forum for practitioners to share their experiences, learn from their peers and discuss best-practice approaches to leadership.
Core topics
Trends: Key technology trends and business trends
IT Evolution: How the IT and Digital role is changing and evolving
Leadership: Empowering, engaging, motivating and inspiring teams
Culture: Creating a culture of inclusion, innovation and exploration
Impact: Technology as a driver of innovation, improvement and problem solving
IT Management: Investment, ITAM, cost control, vendor management
The document is an agenda and information for the Big Data World Show conference taking place on November 9-10, 2015 in Park Hyatt Abu Dhabi. The two-day conference will have two streams - Internet of Things and Big Data for Public Sector. It will feature over 40 speakers and is expected to attract over 150 senior level attendees. The agenda outlines the schedule of keynotes, presentations, panels and discussions covering topics such as smart government, data analytics, data security, marketing with big data, and more. Sponsoring and participating organizations are also listed.
The document discusses digital transformation and AI industrialization. It begins with an introduction of the speaker and defines key concepts like digitization, digitalization, and digital transformation. It then discusses how AI is transforming industries and provides examples of how Taiwan's AI Academy and a company called InfuseAI are helping industrialize AI through education and an MLOps platform called PrimeHub. The discussion emphasizes that transforming industries requires redefining problems and taking an operations approach to AI modeled development and deployment.
Business today is starting to understand the value of data, and some organisations are outperforming their competition by putting data at the heart of their thinking. Leveraging data to change business models, understand their customers and employees better and deliver new revenue streams is the driving force in this new data centric era.
Jon Woodward - MSFT
Dave Coplin - MSFT
Mike Bugembe - JustGiving
Gary Richardson - KPMG
Digital Europe: Pushing the frontier, capturing the benefitsMcKinsey & Company
What is the speed at which digital is and will change our world?
How is Europe performing in digital compared to the United States? Where is the progress? And where is the paralysis?
What some of the challenges and risks of digital – its potential to divide business and society – between the highly digitized: the “have-mores,” and the “haves:” those who are not able or willing to adapt fast enough.
And what is our share our vision with you for how Europe needs to capture the huge digital prize. What can start-ups, companies, public authorities – everyone in this room – do, to make it happen?
The New Frontier of Lean: the Digital Lean Enterprise by Steve BellInstitut Lean France
Discover how leaders should cut through the complexity and hype to focus on the three, key value-enablers of Digitization and Big Data, supporting informed strategy and execution to help their large, established enterprises thrive in the digital-disruptor economy. A talk by Steve Bell at the Lean IT Summit 2017.
Discover more Lean IT experts and stories on www.lean-it-summit.com
Building the Cognitive Era : Big Data StrategiesKevin Sigliano
This document discusses big data and its applications. It begins with an overview of the growth of data and defines big data. Examples are given of how companies like Walmart, the CIA, and Puig use big data. The challenges of big data including volume, veracity, velocity and variety are described. Common applications of big data like customer insights, marketing, and risk detection are mentioned. The document outlines a roadmap for implementing a big data strategy and discusses technologies and terms. Success cases in fast moving consumer goods are presented. Finally, the benefits of big data for survival, strategic decisions, and cost reductions are noted.
Digital Disruption – Opportunity and Threat for L&D. LearningCafe Online Disc...LearningCafe
Digital disruption requires employees to have the capabilities and mindset to quickly learn and unlearn to keep with pace of change. L&D often find themselves, willingly or unwillingly, supporting the increase pace of Learning and are finding the traditional methods of delivering Learning unresponsive and slow. L&D professionals themselves in many cases have not acquired the skills to deliver results in this new environment. We discuss if L&D will step up or itself be disrupted by others who can provide the answers.
DIGITAL & IoT: A TALE OF THE HAVES AND HAVE-MORES- McKinsey & CompanyTiE Seattle
The document discusses how digital technologies and the Internet of Things (IoT) are transforming business across sectors. It notes that digitization is having different impacts based on a sector's level of asset digitization, use of digital tools, and labor digitization. While IoT potential is large, value will vary by industry vertical. Infrastructure, public sector, and utilities could see the greatest economic benefits from IoT, while its impact will be smaller for industries like aerospace and defense.
‘Managing People Change in the Digital Era’ with Mr. Manoj Prasad, V.P. – Digital Transformation & People Change, Reliance Industries. He will be discussing why Digital Transformation is important in a VUCA (Volatile, Uncertain, Complex and Ambiguous) world, change management and the key to adopt a digital mind-set.
About Manoj Prasad: An HR Industry veteran with more than 21+ years of global work experience, he has been managing end to end complex HR Transformation & Organization Change program across globe. He is currently leading the recreate, redesign & transform e-digital platform initiatives across Reliance.
Facebook- https://www.facebook.com/NMIMSSCE/
Twitter- https://twitter.com/NMIMS_SCE
LinkedIn- https://www.linkedin.com/school/nmims/
Research Presentation: How Numbers are Powering the Next Era of MarketingMediaPost
This document discusses how numbers and data are powering the next era of marketing. It notes that nearly 4 in 10 CMOs say they do not have the right tools and resources to meet their marketing objectives. Companies are turning to providers like Accenture Interactive to bring together full marketing solutions using consulting, technology, and analytics. The CMO agenda is being disrupted by the explosion of data from sources like mobile devices, social media, and the internet of things. This data needs to be captured, analyzed, and used to optimize marketing interactions and drive continuous discovery. Strong collaboration between marketing and IT is needed to take advantage of big data technologies and manage various data environments.
DataEd Slides: Approaching Data Management TechnologiesDATAVERSITY
Our architecturally solid stool requires three legs: people, process, and technologies. This webinar looks at the most misunderstood of these three components: technology. While most organizations begin with technologies, it turns out that technologies are the last component that should be considered. This webinar will survey a range of Data Management technologies that can be used to increase the productivity of Data Management efforts.
Similar to A Digital World needs Digital Learning by Andreas Mueller at HR Week 2020 (20)
The report *State of D2C in India: A Logistics Update* talks about the evolving dynamics of the d2C landscape with a particular focus on how brands navigate the complexities of logistics. Third Party Logistics enablers emerge indispensable partners in facilitating the growth journey of D2C brands, offering cost-effective solutions tailored to their specific needs. As D2C brands continue to expand, they encounter heightened operational complexities with logistics standing out as a significant challenge. Logistics not only represents a substantial cost component for the brands but also directly influences the customer experience. Establishing efficient logistics operations while keeping costs low is therefore a crucial objective for brands. The report highlights how 3PLs are meeting the rising demands of D2C brands, supporting their expansion both online and offline, and paving the way for sustainable, scalable growth in this fast-paced market.
Tired of chasing down expiring contracts and drowning in paperwork? Mastering contract management can significantly enhance your business efficiency and productivity. This guide unveils expert secrets to streamline your contract management process. Learn how to save time, minimize risk, and achieve effortless contract management.
Prescriptive analytics BA4206 Anna University PPTFreelance
Business analysis - Prescriptive analytics Introduction to Prescriptive analytics
Prescriptive Modeling
Non Linear Optimization
Demonstrating Business Performance Improvement
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Efficient PHP Development Solutions for Dynamic Web ApplicationsHarwinder Singh
Unlock the full potential of your web projects with our expert PHP development solutions. From robust backend systems to dynamic front-end interfaces, we deliver scalable, secure, and high-performance applications tailored to your needs. Trust our skilled team to transform your ideas into reality with custom PHP programming, ensuring seamless functionality and a superior user experience.
SATTA MATKA DPBOSS KALYAN MATKA RESULTS KALYAN CHART KALYAN MATKA MATKA RESULT KALYAN MATKA TIPS SATTA MATKA MATKA COM MATKA PANA JODI TODAY BATTA SATKA MATKA PATTI JODI NUMBER MATKA RESULTS MATKA CHART MATKA JODI SATTA COM INDIA SATTA MATKA MATKA TIPS MATKA WAPKA ALL MATKA RESULT LIVE ONLINE MATKA RESULT KALYAN MATKA RESULT DPBOSS MATKA 143 MAIN MATKA KALYAN MATKA RESULTS KALYAN CHART
SATTA MATKA DPBOSS KALYAN MATKA RESULTS KALYAN MATKA MATKA RESULT KALYAN MATKA TIPS SATTA MATKA MATKA COM MATKA PANA JODI TODAY BATTA SATKA MATKA PATTI JODI NUMBER MATKA RESULTS MATKA CHART MATKA JODI SATTA COM INDIA SATTA MATKA MATKA TIPS MATKA WAPKA ALL MATKA RESULT LIVE ONLINE MATKA RESULT KALYAN MATKA RESULT DPBOSS MATKA 143 MAIN MATKA KALYAN MATKA RESULTS KALYAN CHART KALYAN CHART
SATTA MATKA DPBOSS KALYAN MATKA RESULTS KALYAN CHART KALYAN MATKA MATKA RESULT KALYAN MATKA TIPS SATTA MATKA MATKA COM MATKA PANA JODI TODAY BATTA SATKA MATKA PATTI JODI NUMBER MATKA RESULTS MATKA CHART MATKA JODI SATTA COM INDIA SATTA MATKA MATKA TIPS MATKA WAPKA ALL MATKA RESULT LIVE ONLINE MATKA RESULT KALYAN MATKA RESULT DPBOSS MATKA 143 MAIN MATKA KALYAN MATKA RESULTS KALYAN CHART
SATTA MATKA DPBOSS KALYAN MATKA RESULTS KALYAN CHART KALYAN MATKA MATKA RESULT KALYAN MATKA TIPS SATTA MATKA MATKA COM MATKA PANA JODI TODAY BATTA SATKA MATKA PATTI JODI NUMBER MATKA RESULTS MATKA CHART MATKA JODI SATTA COM INDIA SATTA MATKA MATKA TIPS MATKA WAPKA ALL MATKA RESULT LIVE ONLINE MATKA RESULT KALYAN MATKA RESULT DPBOSS MATKA 143 MAIN MATKA KALYAN MATKA RESULTS KALYAN CHART
Cover Story - China's Investment Leader - Dr. Alyce SUmsthrill
In World Expo 2010 Shanghai – the most visited Expo in the World History
https://www.britannica.com/event/Expo-Shanghai-2010
China’s official organizer of the Expo, CCPIT (China Council for the Promotion of International Trade https://en.ccpit.org/) has chosen Dr. Alyce Su as the Cover Person with Cover Story, in the Expo’s official magazine distributed throughout the Expo, showcasing China’s New Generation of Leaders to the World.
SATTA MATKA DPBOSS KALYAN MATKA RESULTS KALYAN CHART KALYAN MATKA MATKA RESULT KALYAN MATKA TIPS SATTA MATKA MATKA COM MATKA PANA JODI TODAY BATTA SATKA MATKA PATTI JODI NUMBER MATKA RESULTS MATKA CHART MATKA JODI SATTA COM INDIA SATTA MATKA MATKA TIPS MATKA WAPKA ALL MATKA RESULT LIVE ONLINE MATKA RESULT KALYAN MATKA RESULT DPBOSS MATKA 143 MAIN MATKA KALYAN MATKA RESULTS KALYAN CHART
20. Summary
• identify your digital business strategy
• set the appropriate level of digitalization for learning
• sense the level of interaction needed in your org culture
• prepare the learning roles that you will need
• design the provider architecture and infrastructure
• retrospect