Marc Dragon is the Managing Director of Reefknot Investments. Reefknot Investments is a joint partnership between Temasek, Singapore’s state-owned fund, and the global logistics company Kuehne + Nagel.
Open Government Data (approaches, concerns and barriers, lessons learned)Open Data @ CTIC
The document summarizes key points from a workshop on open government data approaches in Spain. It discusses the variety of technical approaches taken in different Spanish regions, concerns raised about open data, lessons learned regarding organizational, financial and technical aspects, and the importance of the overall open data ecosystem. The document emphasizes that open data approaches require raising awareness, starting small and improving over time, and addressing concerns while building on success stories.
This document discusses potential areas of overlap and collaboration between industry and research. It notes that both sectors face challenges like complexity, distributed data and resources, and budget restrictions. Collaboration could help by increasing impact, addressing research challenges, and pushing technological limits. An example is provided of CERN's long-standing collaboration with Oracle to manage its large data sets and ensure high availability for particle physics research worldwide. The document argues that identifying shared problems, setting clear expectations, and starting with pilot partnerships can help industry and research find an overlapping region of mutual benefit.
The Smith Institute in the UK works independently with businesses, governments, and universities to address challenges using mathematics and systems engineering. It was established in the late 1990s and has grown to 20 employees. The Institute maintains academic relationships to stay cutting-edge and create new collaborations. It obtains funding through various means including cost-based and market-rate projects. The Institute facilitates wider partnerships and pursues new business opportunities while preserving future flexibility regarding intellectual property.
This document discusses using experimental methods and data in innovation policy to minimize uncertainty for entrepreneurs. It argues that innovation policy should be modeled after experimental science, testing hypotheses and using data and evaluation. Two case studies are described: Creative Credits, which provided innovation vouchers for SMEs, and increased short-term innovation but not long-term; and Digital R&D for the Arts, which funded digital R&D projects and sector-wide learning for arts organizations and technology companies. The document concludes by discussing analyzing social media connections and text from conferences to learn more about networks and impacts.
NMHC 2016 What's Next 2017-2020? TamelaCovalTamela Coval
This document discusses emerging technologies and trends from 2017 to 2020. It identifies 12 future technology trends, including the collaborative economy, customer experience, sustainability, batteries, cybersecurity, the Internet of Things, wearables, artificial intelligence, digital twins, blockchain, digital platforms, and conversational systems. It emphasizes that technology solutions need to support multiple users, roles, devices, networks, security layers, behaviors, and goals in a dynamic, flexible way. The document concludes by suggesting self-examination questions for organizations to consider regarding emerging technologies.
A presentation from Martin Ralphs (Office for National Statistics, head of the Good Practice team across the Government Statistical Service) as part of the Young Policy Professionals event, ‘Public policy in the “big data” age’, held on 9 March 2016 at the National Audit Office, London.
SC4 Workshop 1: Logistics and big data German herreroBigData_Europe
This document discusses the potential of big data in logistics. It notes that big data in logistics is characterized by large volumes of diverse data from both structured and unstructured sources. Applying advanced analytics to big data can provide greater insights across supply chains, enabling more efficient routing, inventory control, and issue resolution. Key challenges to realizing big data's potential in logistics include identifying appropriate business cases, gaining data sharing between stakeholders, and developing data science expertise in the logistics field.
Open Government Data (approaches, concerns and barriers, lessons learned)Open Data @ CTIC
The document summarizes key points from a workshop on open government data approaches in Spain. It discusses the variety of technical approaches taken in different Spanish regions, concerns raised about open data, lessons learned regarding organizational, financial and technical aspects, and the importance of the overall open data ecosystem. The document emphasizes that open data approaches require raising awareness, starting small and improving over time, and addressing concerns while building on success stories.
This document discusses potential areas of overlap and collaboration between industry and research. It notes that both sectors face challenges like complexity, distributed data and resources, and budget restrictions. Collaboration could help by increasing impact, addressing research challenges, and pushing technological limits. An example is provided of CERN's long-standing collaboration with Oracle to manage its large data sets and ensure high availability for particle physics research worldwide. The document argues that identifying shared problems, setting clear expectations, and starting with pilot partnerships can help industry and research find an overlapping region of mutual benefit.
The Smith Institute in the UK works independently with businesses, governments, and universities to address challenges using mathematics and systems engineering. It was established in the late 1990s and has grown to 20 employees. The Institute maintains academic relationships to stay cutting-edge and create new collaborations. It obtains funding through various means including cost-based and market-rate projects. The Institute facilitates wider partnerships and pursues new business opportunities while preserving future flexibility regarding intellectual property.
This document discusses using experimental methods and data in innovation policy to minimize uncertainty for entrepreneurs. It argues that innovation policy should be modeled after experimental science, testing hypotheses and using data and evaluation. Two case studies are described: Creative Credits, which provided innovation vouchers for SMEs, and increased short-term innovation but not long-term; and Digital R&D for the Arts, which funded digital R&D projects and sector-wide learning for arts organizations and technology companies. The document concludes by discussing analyzing social media connections and text from conferences to learn more about networks and impacts.
NMHC 2016 What's Next 2017-2020? TamelaCovalTamela Coval
This document discusses emerging technologies and trends from 2017 to 2020. It identifies 12 future technology trends, including the collaborative economy, customer experience, sustainability, batteries, cybersecurity, the Internet of Things, wearables, artificial intelligence, digital twins, blockchain, digital platforms, and conversational systems. It emphasizes that technology solutions need to support multiple users, roles, devices, networks, security layers, behaviors, and goals in a dynamic, flexible way. The document concludes by suggesting self-examination questions for organizations to consider regarding emerging technologies.
A presentation from Martin Ralphs (Office for National Statistics, head of the Good Practice team across the Government Statistical Service) as part of the Young Policy Professionals event, ‘Public policy in the “big data” age’, held on 9 March 2016 at the National Audit Office, London.
SC4 Workshop 1: Logistics and big data German herreroBigData_Europe
This document discusses the potential of big data in logistics. It notes that big data in logistics is characterized by large volumes of diverse data from both structured and unstructured sources. Applying advanced analytics to big data can provide greater insights across supply chains, enabling more efficient routing, inventory control, and issue resolution. Key challenges to realizing big data's potential in logistics include identifying appropriate business cases, gaining data sharing between stakeholders, and developing data science expertise in the logistics field.
NoSQL Directions Keynote from NoSQL Now 2013MongoDB
The NoSQL marketplace is undergoing a rapid transition – from community-driven development and niche deployments to rising enterprise adoption and voice in the mainstream. In this talk, Max discusses differences among NoSQLtechnologies, trends in NoSQL impacting the enterprise, and how NoSQL is shaping the overall data management landscape. He will also outline lessons from early NoSQL adopters and how these can be instructive for would-beNoSQL adopters, both from a technological and organizational standpoint.
Whether you are already using NoSQL technologies or considering new projects, come learn how you can be a part of the greatest change in the data management industry in over 30 years.
6. vogel building and assessing entrepreneurial ecosystemsOECD CFE
This document discusses entrepreneurship ecosystems. It defines an entrepreneurship ecosystem as a dynamic community composed of interdependent actors and factors that promote new venture creation. It discusses key factors and actors within ecosystems, including entrepreneurs, institutions, markets, and support settings. The document also examines how to start and assess ecosystems, providing examples from Switzerland, Mexico, and Saudi Arabia. It emphasizes the importance of a holistic and multi-stakeholder approach to ecosystem building.
Community of practice on socio-economic dataIFPRI-PIM
The document discusses the Community of Practice on Socio-Economic Data (#CoP_SED) which aims to make CGIAR and other socio-economic data more available and interoperable. It outlines challenges with socio-economic data and introduces working groups on survey harmonization, ontologies, metadata schemas, blockchain, ethics and new analytical tools. Those interested can get involved by signing up on the CGIAR Platform for Big Data in Agriculture's website and registering for the collaborative space or working groups.
5 Key Areas in the Construction Industry, where Big Data Solutions Play a Piv...SPEC INDIA
The construction industry is one of the most complex, wide spread and happening industry today. With Big Data solutions paving their way into each and every domain, why would this fraternity not make the most of it? Yes, there is an increasing usage of Big Data Analytics being observed in this industry and there are visible benefits being observed. Have a sneak peek at how this robust technology would facilitate the best of profitability and productivity in the construction industry?
Read more At: http://blog.spec-india.com/big-data-solutions-providing-powerful-thrust-construction-industry/
Data science uses new technologies and approaches to gain insights from large and diverse datasets. It has the potential to enhance government policymaking and service delivery. The document outlines four key areas the government is focusing on: 1) conducting alpha projects to develop new data science capabilities and share learning, 2) building data science skills, 3) addressing barriers like data sharing and procurement, and 4) ensuring transparency to develop ethical standards and explore opportunities with external innovators. The goal is to identify high-priority questions that data science can address and demonstrate its value through engagement events with departments and practitioners.
This document discusses KPN's strategy to become the leading data-driven service provider in Europe by 2020. Key aspects of the strategy include:
1) Centralizing all relevant customer data on one platform and bringing together data and analytics teams.
2) Creating a "state of the art" data value chain to integrate, analyze, and take actions based on customer data.
3) Developing the best tools, talent, and real-time analytical capabilities to power programmatic marketing and customer service optimization.
The document discusses how data, text mining, and machine learning can be used for better decision making. It summarizes MyScienceWork, a company that provides data solutions for research. Key trends discussed are data management, peer review methods, and improving visibility and discoverability of data through open repositories and powerful semantic search tools using AI for suggestions and metrics. The presentation concludes that the value of data requires significant work and explores whether AI can replace humans.
This document discusses a course on information systems. It covers several topics:
- The relationship between business IT and innovation and how to analyze applications in industry, commerce, and training.
- The course structure which explores context, methods/technologies, case studies, and evaluation metrics.
- Definitions of structured vs unstructured data and how organizations can compare and aggregate structured data.
- The role of an information system as an organized set of resources that capture the meaning of work.
The document discusses how enterprise technologies can be used to improve apprenticeship programs. It covers topics like business processes, social networks, web services, search capabilities, mobile apps, self-tracking ("Quantified Self"), and digital transformation. Students will create a short video case study using Videoscribe on how information technology is used in a company. The goal is to help students understand the relationship between business and innovation using current industry applications and case studies.
This document discusses blockchain technology and its potential applications and impacts in the financial services industry, particularly in Australia. Some of the key points made include:
- Many governments, institutions, and companies are exploring how blockchain could streamline finance and business operations. Australia's blockchain experts believe mainstream use is 5-10 years away.
- Blockchain could speed up processes and potentially eliminate intermediaries in debt capital markets. However, overcoming obstacles is significant and replacing existing complex systems will be difficult.
- In Australia, major banks, regulators, startups and government groups are researching blockchain applications and several prototypes have been developed. The government aims to make Australia a leading fintech hub.
- Blockchain advocates argue
Top 10 data science takeaways for executivesDylan Erens
This document discusses data science and provides examples of how major companies are using it. It begins with definitions of data science and what data scientists do, involving skills in computer science, mathematics, statistics, programming, and telling stories from data. It then gives several examples of how large companies like Kroger, UPS, and American Express are using data science for applications like customer loyalty analysis, fleet optimization, and churn prediction to improve business outcomes. The document advocates that executives should understand data science and how leading companies are applying it in areas such as financial management, customer service, fraud detection, and revenue growth.
Data Science - An emerging Stream of Science with its Spreading Reach & ImpactDr. Sunil Kr. Pandey
This is my presentation on the Topic "Data Science - An emerging Stream of Science with its Spreading Reach & Impact". I have compiled and collected different statistics and data from different sources. This may be useful for students and those who might be interested in this field of Study.
Kopi Chat Deep Dive: Big Data and Artificial Intelligence @Blk71 Singapore BLOCK71 Singapore
Takeaways from our Kopi Chat Deep Dive series where we explored how Big Data and Artificial Intelligence is being currently applied with a panel of speakers from the government sector, industry leaders, business founders and venture capitalists. Thank you for joining us and watch this space for more Kopi Chat Da Bao!
Dr. Haden A. Land, CEO and CTO of Safely2Prosperity, graced the cover of World’s Leaders Magazine as one of the Worlds Most Influential Leaders Inspiring The Tech World, 2024
Accenture Public Sector Emerging Technologies Research - Smart Nation Workforceaccenture
Singapore is one of the first countries to recognize the potential of emerging technologies to revolutionize the way public services are delivered. Accenture’s Public Sector Emerging Technologies Research finds that readiness, awareness, and development of these technologies varies significantly from country to country, with Singapore ranking as one of the most advanced and well-prepared nations. With the Smart Nation Workforce agenda well-established Singapore looks set to remain at the leading edge.
Keynote: Graphs in Government_Lance Walter, CMONeo4j
This document contains an agenda and presentation slides for a Neo4j Graphs in Government event. The presentation introduces graph databases and Neo4j, discusses how graphs can help solve network-oriented problems, provides examples of graph use cases in various industries, and highlights new features in Neo4j 4.0 like easy management, unlimited scaling, and granular security. Case studies demonstrate how Neo4j has helped organizations like the US Army, MITRE, Adobe, and the German Center for Diabetes Research tackle complex data challenges.
Treparel's introduction with content, text analytics and visualization examples about 'Turn Big Data into Business Insight'. Presented at LT Innovate Summit in Brussel (June 27, 2013)
On December 9 & 10, Deloitte hosted over 20 business executives and thought leaders at the Internet of Things (IoT) Grand Challenge Workshop at the Tech Museum of Innovation in San Jose. The objective of the gathering was to work collectively to solve one of the more largely unexplored areas of IoT: revenue generating IoT use cases. The following report captures what was discussed during this extraordinary event where an open, collaborative dialogue focused on advancing the field of IoT.
Explore the key findings here or learn more at www2.deloitte.com/us/IoT-challenge.
Presentation To Seda Technology ProgrammeElton050505
The document discusses several topics related to global commercialization of ICT products and services:
1) Globalization has led to an interconnected global marketplace without barriers to technology and business spread worldwide.
2) ICT products and services now commercialized globally include point-of-sale systems, e-commerce platforms, internet and telecommunications infrastructure.
3) There is a shortage of over 37,000 ICT workers in South Africa across many roles like managers, analysts, programmers and technicians needed to support growing commercialization of ICT.
This document provides an overview of data science. It defines data as facts such as numbers, words, measurements, and descriptions. Data science involves developing methods to analyze and extract useful insights from both structured and unstructured data. While data mining focuses on analyzing large datasets, data science covers the entire data lifecycle. There is a growing demand for data scientists as every industry relies on data. Data scientists use various statistical techniques to find patterns in data and gain knowledge. Netflix is used as a case study to show how it has become a data-driven business that uses data science to power recommendations and improve the customer experience.
NoSQL Directions Keynote from NoSQL Now 2013MongoDB
The NoSQL marketplace is undergoing a rapid transition – from community-driven development and niche deployments to rising enterprise adoption and voice in the mainstream. In this talk, Max discusses differences among NoSQLtechnologies, trends in NoSQL impacting the enterprise, and how NoSQL is shaping the overall data management landscape. He will also outline lessons from early NoSQL adopters and how these can be instructive for would-beNoSQL adopters, both from a technological and organizational standpoint.
Whether you are already using NoSQL technologies or considering new projects, come learn how you can be a part of the greatest change in the data management industry in over 30 years.
6. vogel building and assessing entrepreneurial ecosystemsOECD CFE
This document discusses entrepreneurship ecosystems. It defines an entrepreneurship ecosystem as a dynamic community composed of interdependent actors and factors that promote new venture creation. It discusses key factors and actors within ecosystems, including entrepreneurs, institutions, markets, and support settings. The document also examines how to start and assess ecosystems, providing examples from Switzerland, Mexico, and Saudi Arabia. It emphasizes the importance of a holistic and multi-stakeholder approach to ecosystem building.
Community of practice on socio-economic dataIFPRI-PIM
The document discusses the Community of Practice on Socio-Economic Data (#CoP_SED) which aims to make CGIAR and other socio-economic data more available and interoperable. It outlines challenges with socio-economic data and introduces working groups on survey harmonization, ontologies, metadata schemas, blockchain, ethics and new analytical tools. Those interested can get involved by signing up on the CGIAR Platform for Big Data in Agriculture's website and registering for the collaborative space or working groups.
5 Key Areas in the Construction Industry, where Big Data Solutions Play a Piv...SPEC INDIA
The construction industry is one of the most complex, wide spread and happening industry today. With Big Data solutions paving their way into each and every domain, why would this fraternity not make the most of it? Yes, there is an increasing usage of Big Data Analytics being observed in this industry and there are visible benefits being observed. Have a sneak peek at how this robust technology would facilitate the best of profitability and productivity in the construction industry?
Read more At: http://blog.spec-india.com/big-data-solutions-providing-powerful-thrust-construction-industry/
Data science uses new technologies and approaches to gain insights from large and diverse datasets. It has the potential to enhance government policymaking and service delivery. The document outlines four key areas the government is focusing on: 1) conducting alpha projects to develop new data science capabilities and share learning, 2) building data science skills, 3) addressing barriers like data sharing and procurement, and 4) ensuring transparency to develop ethical standards and explore opportunities with external innovators. The goal is to identify high-priority questions that data science can address and demonstrate its value through engagement events with departments and practitioners.
This document discusses KPN's strategy to become the leading data-driven service provider in Europe by 2020. Key aspects of the strategy include:
1) Centralizing all relevant customer data on one platform and bringing together data and analytics teams.
2) Creating a "state of the art" data value chain to integrate, analyze, and take actions based on customer data.
3) Developing the best tools, talent, and real-time analytical capabilities to power programmatic marketing and customer service optimization.
The document discusses how data, text mining, and machine learning can be used for better decision making. It summarizes MyScienceWork, a company that provides data solutions for research. Key trends discussed are data management, peer review methods, and improving visibility and discoverability of data through open repositories and powerful semantic search tools using AI for suggestions and metrics. The presentation concludes that the value of data requires significant work and explores whether AI can replace humans.
This document discusses a course on information systems. It covers several topics:
- The relationship between business IT and innovation and how to analyze applications in industry, commerce, and training.
- The course structure which explores context, methods/technologies, case studies, and evaluation metrics.
- Definitions of structured vs unstructured data and how organizations can compare and aggregate structured data.
- The role of an information system as an organized set of resources that capture the meaning of work.
The document discusses how enterprise technologies can be used to improve apprenticeship programs. It covers topics like business processes, social networks, web services, search capabilities, mobile apps, self-tracking ("Quantified Self"), and digital transformation. Students will create a short video case study using Videoscribe on how information technology is used in a company. The goal is to help students understand the relationship between business and innovation using current industry applications and case studies.
This document discusses blockchain technology and its potential applications and impacts in the financial services industry, particularly in Australia. Some of the key points made include:
- Many governments, institutions, and companies are exploring how blockchain could streamline finance and business operations. Australia's blockchain experts believe mainstream use is 5-10 years away.
- Blockchain could speed up processes and potentially eliminate intermediaries in debt capital markets. However, overcoming obstacles is significant and replacing existing complex systems will be difficult.
- In Australia, major banks, regulators, startups and government groups are researching blockchain applications and several prototypes have been developed. The government aims to make Australia a leading fintech hub.
- Blockchain advocates argue
Top 10 data science takeaways for executivesDylan Erens
This document discusses data science and provides examples of how major companies are using it. It begins with definitions of data science and what data scientists do, involving skills in computer science, mathematics, statistics, programming, and telling stories from data. It then gives several examples of how large companies like Kroger, UPS, and American Express are using data science for applications like customer loyalty analysis, fleet optimization, and churn prediction to improve business outcomes. The document advocates that executives should understand data science and how leading companies are applying it in areas such as financial management, customer service, fraud detection, and revenue growth.
Data Science - An emerging Stream of Science with its Spreading Reach & ImpactDr. Sunil Kr. Pandey
This is my presentation on the Topic "Data Science - An emerging Stream of Science with its Spreading Reach & Impact". I have compiled and collected different statistics and data from different sources. This may be useful for students and those who might be interested in this field of Study.
Kopi Chat Deep Dive: Big Data and Artificial Intelligence @Blk71 Singapore BLOCK71 Singapore
Takeaways from our Kopi Chat Deep Dive series where we explored how Big Data and Artificial Intelligence is being currently applied with a panel of speakers from the government sector, industry leaders, business founders and venture capitalists. Thank you for joining us and watch this space for more Kopi Chat Da Bao!
Dr. Haden A. Land, CEO and CTO of Safely2Prosperity, graced the cover of World’s Leaders Magazine as one of the Worlds Most Influential Leaders Inspiring The Tech World, 2024
Accenture Public Sector Emerging Technologies Research - Smart Nation Workforceaccenture
Singapore is one of the first countries to recognize the potential of emerging technologies to revolutionize the way public services are delivered. Accenture’s Public Sector Emerging Technologies Research finds that readiness, awareness, and development of these technologies varies significantly from country to country, with Singapore ranking as one of the most advanced and well-prepared nations. With the Smart Nation Workforce agenda well-established Singapore looks set to remain at the leading edge.
Keynote: Graphs in Government_Lance Walter, CMONeo4j
This document contains an agenda and presentation slides for a Neo4j Graphs in Government event. The presentation introduces graph databases and Neo4j, discusses how graphs can help solve network-oriented problems, provides examples of graph use cases in various industries, and highlights new features in Neo4j 4.0 like easy management, unlimited scaling, and granular security. Case studies demonstrate how Neo4j has helped organizations like the US Army, MITRE, Adobe, and the German Center for Diabetes Research tackle complex data challenges.
Treparel's introduction with content, text analytics and visualization examples about 'Turn Big Data into Business Insight'. Presented at LT Innovate Summit in Brussel (June 27, 2013)
On December 9 & 10, Deloitte hosted over 20 business executives and thought leaders at the Internet of Things (IoT) Grand Challenge Workshop at the Tech Museum of Innovation in San Jose. The objective of the gathering was to work collectively to solve one of the more largely unexplored areas of IoT: revenue generating IoT use cases. The following report captures what was discussed during this extraordinary event where an open, collaborative dialogue focused on advancing the field of IoT.
Explore the key findings here or learn more at www2.deloitte.com/us/IoT-challenge.
Presentation To Seda Technology ProgrammeElton050505
The document discusses several topics related to global commercialization of ICT products and services:
1) Globalization has led to an interconnected global marketplace without barriers to technology and business spread worldwide.
2) ICT products and services now commercialized globally include point-of-sale systems, e-commerce platforms, internet and telecommunications infrastructure.
3) There is a shortage of over 37,000 ICT workers in South Africa across many roles like managers, analysts, programmers and technicians needed to support growing commercialization of ICT.
This document provides an overview of data science. It defines data as facts such as numbers, words, measurements, and descriptions. Data science involves developing methods to analyze and extract useful insights from both structured and unstructured data. While data mining focuses on analyzing large datasets, data science covers the entire data lifecycle. There is a growing demand for data scientists as every industry relies on data. Data scientists use various statistical techniques to find patterns in data and gain knowledge. Netflix is used as a case study to show how it has become a data-driven business that uses data science to power recommendations and improve the customer experience.
Tech trends 2018 the symphonic enterprise (deloitte)ARTOTEL Academy
The document summarizes emerging technology trends for 2018, focusing on the theme of the "symphonic enterprise" where different technologies work together harmoniously.
It discusses how past technology transformations focused on individual domains like cloud, analytics, and big data, but now organizations are taking a more holistic approach to disruption. Technologies like blockchain, cognitive technologies, and digital reality are redefining business and can fundamentally reshape how work gets done when combined.
The document introduces the concept of the "symphonic enterprise" where strategy, technology, and operations work together across boundaries for greater impact, blurring old lines between functions. It provides an example of how finance and supply chain could converge in the future through technologies to create new
'A new frontier', the first edition of a quarterly exclusive issue with curated and original content about Information technology and resourcing trends.
The survey collected responses from over 5,200 technology professionals between September and November 2015. Key findings include:
- 64% of respondents are concerned about or have changed their online behaviors due to government surveillance programs, up from 57% last year.
- Salaries are rising for many IT professionals, with 15% reporting increases over 10%. Contract rates are also rising after several years of stability.
- Retaining skilled employees is a challenge, as many are actively looking for new opportunities. Companies must focus on culture, communication and interesting projects to keep staff engaged.
- Opinions on which technologies and organizations do the most good are mixed, with Linux highly rated but views on intelligence agencies declining.
The survey collected responses from over 5,200 technology professionals between September and November 2015. Key findings include:
- 64% of respondents are concerned about or have changed their online behaviors due to government surveillance programs, up from 57% last year.
- Salaries are rising for many IT professionals, with 15% reporting increases over 10%. Contract rates are also rising after several years of stability.
- Retaining skilled staff is challenging as a quarter are actively looking for new jobs and 30% are open to opportunities. Treating employees well correlates with higher retention.
- Working for a tech startup remains very appealing while interest in tech vendors is rising as cloud adoption increases.
The document discusses how a UX team at AstraZeneca, a large biopharmaceutical company, used Lean UX principles to drive digital transformation. Over the past year, they built internal search and user experience competency centers, developed mobile apps, and ran usability labs. This helped them accelerate the adoption of new technologies, improve existing products, and establish modern design practices across the organization.
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During the budget session of 2024-25, the finance minister, Nirmala Sitharaman, introduced the “solar Rooftop scheme,” also known as “PM Surya Ghar Muft Bijli Yojana.” It is a subsidy offered to those who wish to put up solar panels in their homes using domestic power systems. Additionally, adopting photovoltaic technology at home allows you to lower your monthly electricity expenses. Today in this blog we will talk all about what is the PM Surya Ghar Muft Bijli Yojana. How does it work? Who is eligible for this yojana and all the other things related to this scheme?
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Episode #67 Marc Dragon Managing Director of Reefknot Investments
1. M A N A G I N G
D I R E C T O R
M A R C D R A G O N
2. How Temasek and Kuehne +
Nagel’s partnership started
"They are is basically looking at transformations in the industry, business
models and new technologies."
1
3. 2
Three main focus areas:
Artificial Intelligence, Digital
Logistics, and Trade Finance.
"These areas are needed to support new differentiated technologies and
models and it allows us to be able to focus and yet evolved on a daily
basis."
4. 3
Why Marc invested in the AI
startup, Prowler.io
"When I was introduced to Prowler, I was quite excited because they
showed that by using the Deep AI probabilistic model with reinforcement
learning capabilities, even with less data they have better results than
that of traditional methods."
5. 4
Reefknot’s ecosystem in five
years
"For a Reefknot in five years, I would like us to have be the global leader
in identifying and catalyzing the next generation's supply chain
technology leaders."
6. 5
The shortage of data scientists
"There’s a particular shortage in data scientists, specifically around the
scientists that are familiar with the supply chain and logistics problems."