The document discusses LinkedIn Learning's efforts to expand its data science and business analytics course offerings. It outlines LinkedIn's strategy to develop a priority list of 100 new courses covering key concepts, tools, and industries. LinkedIn analyzes data on skills supply and demand from its 500 million users to determine high-growth areas and inform new course development. Some top skills identified include Excel, SQL, Java, Python, and business analysis. The analysis helps LinkedIn prioritize courses to address skills gaps and emerging trends in data science.
What every product manager needs to know about data science (ProductCamp Bost...ProductCamp Boston
Product management and data science work in close partnership at many of the highest performing organizations, which use analytics to develop better products, drive customer acquisition and retention, and create additional revenue streams. Not all organizations have the resources or desire to build an internal data science competency, but all can benefit from some degree of analytical orientation. When armed with basic quantitative literacy, product managers are often among the best positioned individuals in their organizations to recognize and build strong business cases around data related opportunities worth pursuing.
This presentation covers, through practical case studies, the information that all product managers should know about data science. Attendees will leave better able to recognize data related opportunities, understand the potential benefits and risks, build business cases for analytics, and learn more.
About Trevor Bass
Trevor Bass is a data scientist with a decade of experience building highly successful and innovative products and teams. He runs Bitten Labs, a data science management consultancy, education provider, and innovation lab. Prior to Bitten Labs, Trevor founded and built the data science function at payment processor Litle & Co (acquired by Vantiv), which performed product R&D, drove customer acquisition, retention, and upselling, provided quantitative consulting throughout the company and for its end customers, and established clear industry thought leadership. Trevor holds a Master's degree from Rutgers University and a Bachelor's degree magna cum laude from Harvard University, both in mathematics.
Data science has been called the "sexiest job of the 21st century" by the Harvard Business Review. It involves extracting knowledge from data through mathematical expertise, technology skills, and business acumen. Data science utilizes databases, pattern mining, statistics, machine learning, and data visualization. It is a growing field with increasing job opportunities, pay, and company adoption due to the priority businesses now place on data analytics. Individuals can pursue roles such as data analyst, data engineer, or project manager at startups, ecommerce companies, or analytics firms. Core skills needed include programming, statistics, machine learning algorithms, and data visualization tools. The document recommends starting a data science career by pursuing a postgraduate diploma in data
Big Data : From HindSight to Insight to ForesightSunil Ranka
When it comes to Analytics and Reporting , There is a fine line between HindSight to Insight to Foresight . With the evolution of BigData technology, there is a need in deriving value out of the larger datasets, not available in the past. Even before we can start using the new shiny technologies, there is a need of understanding what is categorized as reporting or business intelligence or Big Data and Analytics. Based on my experience, people struggle to distinguish between reporting, Analytics, and Business Intelligence.
Presentation: Big Data – From Strategy to Production - Mario Meir-Huber, Big Data Leader Eastern Europe, Teradata GmbH (AT), at the European Data Economy Workshop taking place back to back to SEMANTiCS2015 on 15 September 2015 in Vienna
Winning in Today's Data-Centric Economy (Part 1)Alexander Loth
This document discusses how data and analytics are central to success in today's digital economy. It notes that existing business systems were built for products and transactions, not long-term customer relationships, and data is now everywhere. The document advocates developing a data-centric strategy that uses analytics to extract value from data and wrap data around customers to create business value. It provides examples of how analytics can reduce report creation time and help organizations better understand their data, customers, and make strategic decisions.
Data-Driven is Passé: Transform Into An Insights-Driven EnterpriseDenodo
This document summarizes a presentation on transforming companies into insights-driven enterprises. It discusses how most companies are currently data-driven but struggle to consistently turn data into effective actions. An insights-driven approach involves building multidisciplinary insights teams, establishing good data governance foundations, and combining the right tools and processes into systems of insight. Data virtualization is highlighted as a key technology enabler for systems of insight by providing agile data access and logical abstraction across structured and unstructured data sources. Examples are provided of how data virtualization has helped customers achieve single customer views and build logical data warehouses.
This document discusses the importance of business transformation from just managing data to achieving digital agility. It notes that digital disruption is happening more rapidly as new trends emerge and start-ups create disruptive business models. To succeed, businesses need to shift power to customers, change business operations models, and drive organizational change. Data-driven insights and analytics are also key drivers, and the volume of data is exploding. To win, businesses need organizational agility like start-ups through a digital vision and the ability to change and innovate quickly.
The document discusses LinkedIn Learning's efforts to expand its data science and business analytics course offerings. It outlines LinkedIn's strategy to develop a priority list of 100 new courses covering key concepts, tools, and industries. LinkedIn analyzes data on skills supply and demand from its 500 million users to determine high-growth areas and inform new course development. Some top skills identified include Excel, SQL, Java, Python, and business analysis. The analysis helps LinkedIn prioritize courses to address skills gaps and emerging trends in data science.
What every product manager needs to know about data science (ProductCamp Bost...ProductCamp Boston
Product management and data science work in close partnership at many of the highest performing organizations, which use analytics to develop better products, drive customer acquisition and retention, and create additional revenue streams. Not all organizations have the resources or desire to build an internal data science competency, but all can benefit from some degree of analytical orientation. When armed with basic quantitative literacy, product managers are often among the best positioned individuals in their organizations to recognize and build strong business cases around data related opportunities worth pursuing.
This presentation covers, through practical case studies, the information that all product managers should know about data science. Attendees will leave better able to recognize data related opportunities, understand the potential benefits and risks, build business cases for analytics, and learn more.
About Trevor Bass
Trevor Bass is a data scientist with a decade of experience building highly successful and innovative products and teams. He runs Bitten Labs, a data science management consultancy, education provider, and innovation lab. Prior to Bitten Labs, Trevor founded and built the data science function at payment processor Litle & Co (acquired by Vantiv), which performed product R&D, drove customer acquisition, retention, and upselling, provided quantitative consulting throughout the company and for its end customers, and established clear industry thought leadership. Trevor holds a Master's degree from Rutgers University and a Bachelor's degree magna cum laude from Harvard University, both in mathematics.
Data science has been called the "sexiest job of the 21st century" by the Harvard Business Review. It involves extracting knowledge from data through mathematical expertise, technology skills, and business acumen. Data science utilizes databases, pattern mining, statistics, machine learning, and data visualization. It is a growing field with increasing job opportunities, pay, and company adoption due to the priority businesses now place on data analytics. Individuals can pursue roles such as data analyst, data engineer, or project manager at startups, ecommerce companies, or analytics firms. Core skills needed include programming, statistics, machine learning algorithms, and data visualization tools. The document recommends starting a data science career by pursuing a postgraduate diploma in data
Big Data : From HindSight to Insight to ForesightSunil Ranka
When it comes to Analytics and Reporting , There is a fine line between HindSight to Insight to Foresight . With the evolution of BigData technology, there is a need in deriving value out of the larger datasets, not available in the past. Even before we can start using the new shiny technologies, there is a need of understanding what is categorized as reporting or business intelligence or Big Data and Analytics. Based on my experience, people struggle to distinguish between reporting, Analytics, and Business Intelligence.
Presentation: Big Data – From Strategy to Production - Mario Meir-Huber, Big Data Leader Eastern Europe, Teradata GmbH (AT), at the European Data Economy Workshop taking place back to back to SEMANTiCS2015 on 15 September 2015 in Vienna
Winning in Today's Data-Centric Economy (Part 1)Alexander Loth
This document discusses how data and analytics are central to success in today's digital economy. It notes that existing business systems were built for products and transactions, not long-term customer relationships, and data is now everywhere. The document advocates developing a data-centric strategy that uses analytics to extract value from data and wrap data around customers to create business value. It provides examples of how analytics can reduce report creation time and help organizations better understand their data, customers, and make strategic decisions.
Data-Driven is Passé: Transform Into An Insights-Driven EnterpriseDenodo
This document summarizes a presentation on transforming companies into insights-driven enterprises. It discusses how most companies are currently data-driven but struggle to consistently turn data into effective actions. An insights-driven approach involves building multidisciplinary insights teams, establishing good data governance foundations, and combining the right tools and processes into systems of insight. Data virtualization is highlighted as a key technology enabler for systems of insight by providing agile data access and logical abstraction across structured and unstructured data sources. Examples are provided of how data virtualization has helped customers achieve single customer views and build logical data warehouses.
This document discusses the importance of business transformation from just managing data to achieving digital agility. It notes that digital disruption is happening more rapidly as new trends emerge and start-ups create disruptive business models. To succeed, businesses need to shift power to customers, change business operations models, and drive organizational change. Data-driven insights and analytics are also key drivers, and the volume of data is exploding. To win, businesses need organizational agility like start-ups through a digital vision and the ability to change and innovate quickly.
A brief overview of the Rady School of Management at UC San Diego and how are developing ethical leaders for innovation-driven organizations. Find out if the Rady School is the MBA or Master of Finance program for you.
This framework helps organizations align Data Strategy with Business Strategy to prioritize goals around the most pressing operational needs. It introduces Data Management & Data Ability Maturity Matrix to visualize the core path of business digital transformation, which is easy to understand and follow. And it provides the standard template for implementation, which can share the flexibility to engage applications of different industries.
Learn about the emerging field of big data and advanced quantitative models and how the Rady School's MS in Business Analytics program is designed to solve important business problems.
Neil Sholay - Data Driven Business - #OracleCloudDay LondonNeil Sholay
Information is replacing technology as the most critical business asset.
And so business leaders must make the data around and within their business ecosystem the centre of new planning, funding and revenue models.
7 Pillars Of Data Strategy - High Five 2018Evan Levy
Evan Levy, Director of Advertising at Method Savvy, discusses 7 pillars of a successful data strategy: 1) Asking the right questions, 2) Technical implementation, 3) Users, 4) Data storage and structure, 5) Security, 6) Handling personally identifiable information, and 7) Visualization and analysis needs. He emphasizes starting with specific, action-oriented questions and considering your audience when visualizing data. Following these pillars will help companies get the most value from their data through proper analysis and decision making.
Talk given at the Spark+AI summit in London.
https://databricks.com/session/learning-to-rank-with-apache-spark-a-case-study-in-production-machine-learning
At Elsevier we work to improve the lives of scientists and connect them with the most relevant research in their field. As part of that we built a large scale recommendation engine for ScienceDirect, which helps millions of users discover papers relevant to their research. This presentation is about how our data scientist and engineers designed and implemented the recommendation engine using Apache Spark. We give an overview of the recommendation engine and its two main components – item based collaborative filtering (IBFC) and a learning to rank (LtR) algorithm that employs user feedback and feature engineering to improve how we rank recommendations.
We talk about how the IBCF algorithm is implemented within Spark and how the resulting recommendations can be significantly improved through adding LtR as a rescoring mechanism. We talk about how we train and tune the model and what makes us consider the model “production ready”. The choice of Spark has helped to speed up development by providing a lingua franca between data scientist and engineers and help them to work together effectively. Spark has also allowed us to generate and deploy the model into production and generate billions of high-quality article recommendations every day.
Key takeaways: – Building a good recommendation system is a complex issue, but Spark can greatly help improve the time needed to create and evaluate machine learning models. – Spark provides common language between data scientist and data engineers. Having both those groups communicate can speed up development and improve the end product.
Learning to Rank with Apache Spark: A Case Study in Production Machine Learni...Databricks
This document discusses how Elsevier used Apache Spark to build a machine learning model for recommending scientific articles on ScienceDirect. It describes using collaborative filtering initially, but then improving recommendations with a learning to rank model that incorporated additional article features. Testing showed the learning to rank model provided a 7-10% improvement in user engagement over collaborative filtering alone. The model continues to be retrained adaptively using user feedback to further optimize recommendations.
This document discusses Accenture's approach to data modernization. It outlines key trends in data-driven organizations, including democratizing data, incorporating new data sources, focusing on advanced analytics, adopting big data and hybrid architectures, and changing skills requirements. The document then presents a high-level 9-step approach to agile analytics that engages stakeholders, identifies value opportunities, formulates hypotheses, understands data sources, defines models, prepares data, prototypes and iterates, pilots and executes projects, and delivers actionable insights. It also notes some common challenges organizations face in data transformation, such as unrealistic technology expectations, inadequate delivery approaches, skills gaps, and poor data governance. Finally, it poses questions to help organizations assess their readiness
Big data analytics can provide valuable insights for small and medium enterprises (SMEs). While SMEs have less data than larger corporations, analytics can determine relevance within available data and help SMEs make strategic decisions, improve operations, enable faster analysis, and gain competitive advantages. Cloud computing provides a cost-effective way for SMEs to access big data tools without large upfront investments. Choosing the right analytics framework and solutions tailored for SMEs' needs, along with proper resources and organizational alignment, are keys to success with big data projects.
The document discusses five pillars for data valuation: predictively spotting new opportunities, innovating in an agile way, demonstrating transparency and trust, providing unique personalized experiences, and always being on and operating in real time. It provides more details on the analytic lifecycle for predictively spotting opportunities, the need for data agility in application development, establishing a data ethic of transparency and trust, using data to provide personalized experiences, and reliably storing data to always be on and operating in real time.
This document discusses big data and how organizations can get the most value from it. It defines big data as large data sets that are difficult to process using traditional data management tools due to their size and complexity. The document outlines the characteristics of big data, including volume, velocity, and variety. It also discusses different sources of big data, challenges of big data, and how organizations can analyze big data to gain insights, make predictions, and gain competitive advantages. The document advocates for measuring the success and value of big data initiatives.
Project Control - Your Driver to Enterprise Profitability - Iain Graham, Sale...Mediehuset Ingeniøren Live
Keeping projects under control is a key for any Enterprise that runs projects driven businesses. Beyond collecting and gathering data to report what has happened, effective project control “best of breed” practices try today to include more analytical processes, which is mandatory pre-condition to drive each single project and the whole portfolio of projects performances to success.
This session will introduce you to significant business cases that leading existing Customers experienced by adopting EcoSys EPC Enterprise Planning & Control system.
Therefore, it will provide you with sample of benefits that You can gain after adopting state of the art technology and effective execution management practices to ensure most efficient control to your projects, and therefore to your business.
This document discusses Signet Jewelers' journey to becoming a more data-driven organization through the use of Alteryx and Tableau. It describes how Signet moved from static, time-consuming reporting to empowering business users with self-service analytics. This allowed Signet to answer questions faster, drive action from insights, and transform its culture to be more collaborative and analytical. The document promotes attending upcoming sessions at the conference to learn more.
a2c named in Top 20 Most Promising Data Analytics Consulting Companies by CIO...a2c
In November of 2013 a2c was chosen as one of the Top Twenty among hundreds of data analytics consulting companies who are at the forefront of tackling essential and bleeding edge analytics challenges.
Data Science: The Art of Foul Play by Serhiy ShelpukSoftServe
Serhiy Shelpuk, Lead Data Scientist, Competence Manager at SoftServe, Inc., delivered an insightful presentation on Data Science and SoftServe`s Data Science Group Knowledge Model at the 2013 IT Weekend Ukraine conference that took place on September 14, 2013, in Kyiv, Ukraine. Here`s his presentation.
Karin Patenge "DIGITAL TRANSFORMATION DATA DRIVEN BUSINESS Bedeutung und Nutz...GEOkomm e.V.
1) Digital transformation and data-driven business models are becoming increasingly important as information and data have become critical business assets.
2) Data has huge emergent potential value when combined with other data and consumed by multiple parties, but most organizations currently understand and leverage only a small percentage of their data's value.
3) To truly be data-driven, organizations must move beyond simply collecting data to integrating data acquisition, management, sharing, and analytics across business functions and ecosystems.
Day-3, Mr. Satyajit Dwivedi analytics for decision makingIPPAI
This document discusses how utilities can use analytics and data from sources like smart meters, SCADA systems, and transaction data to gain insights. It outlines how analytics can help with peak load management, understanding customer consumption behavior, fraud detection, load forecasting, and predictive asset management. The document also discusses the need for utilities to move from just accessing data to gaining insights through data visualization and analytic visualization. Finally, it presents a maturity model for analytics and notes that smart grid pilots can help utilities orchestrate information management and make fact-based decisions using analytics.
How can we nurture these uniquely human traits in workplace culture to create a high-performing organization?
In this webinar, you’ll walk away with:
- Why our ability to collaborate, envision different futures, and tell stories allow us to excel
- The four key human traits that make us poised to embrace technology and not fear it
- Real-world case examples of high-performing organizations that are embracing human characteristics to achieve better business results
The document summarizes key takeaways from the Gartner Supply Chain Executive Conference in 2017. It discusses major challenges facing supply chains like limited workforces and the need for digital projects to be better aligned. It also covers topics around disruption from new entrants like drones and robots. The future of supply chains is discussed as moving to an intelligent, self-adapting system with little human intervention using data, suppliers, customers and machines. Talent retention and acquisition challenges are also summarized like a more fluid workforce model and need for targeted skills development.
Innovation Funding for Growth Oriented Companies in CalgaryBoast Capital
The Canadian Government provides over $7B in innovation funding each year and is considered one of the most generous countries for funding research, innovation, and experimentation.
Learn more about a few of Canada's innovation funding programs during this exclusive Lunch & Learn. We'll cover the following topics:
-Scientific Research & Experimental Development Tax Credit (SR&ED) presented by Jeff Christie, Boast Capital
-TECTERRA presented by Richard Gorecki, TECTERRA
-Mitacs presented by Eric Loo, Mitacs
A brief overview of the Rady School of Management at UC San Diego and how are developing ethical leaders for innovation-driven organizations. Find out if the Rady School is the MBA or Master of Finance program for you.
This framework helps organizations align Data Strategy with Business Strategy to prioritize goals around the most pressing operational needs. It introduces Data Management & Data Ability Maturity Matrix to visualize the core path of business digital transformation, which is easy to understand and follow. And it provides the standard template for implementation, which can share the flexibility to engage applications of different industries.
Learn about the emerging field of big data and advanced quantitative models and how the Rady School's MS in Business Analytics program is designed to solve important business problems.
Neil Sholay - Data Driven Business - #OracleCloudDay LondonNeil Sholay
Information is replacing technology as the most critical business asset.
And so business leaders must make the data around and within their business ecosystem the centre of new planning, funding and revenue models.
7 Pillars Of Data Strategy - High Five 2018Evan Levy
Evan Levy, Director of Advertising at Method Savvy, discusses 7 pillars of a successful data strategy: 1) Asking the right questions, 2) Technical implementation, 3) Users, 4) Data storage and structure, 5) Security, 6) Handling personally identifiable information, and 7) Visualization and analysis needs. He emphasizes starting with specific, action-oriented questions and considering your audience when visualizing data. Following these pillars will help companies get the most value from their data through proper analysis and decision making.
Talk given at the Spark+AI summit in London.
https://databricks.com/session/learning-to-rank-with-apache-spark-a-case-study-in-production-machine-learning
At Elsevier we work to improve the lives of scientists and connect them with the most relevant research in their field. As part of that we built a large scale recommendation engine for ScienceDirect, which helps millions of users discover papers relevant to their research. This presentation is about how our data scientist and engineers designed and implemented the recommendation engine using Apache Spark. We give an overview of the recommendation engine and its two main components – item based collaborative filtering (IBFC) and a learning to rank (LtR) algorithm that employs user feedback and feature engineering to improve how we rank recommendations.
We talk about how the IBCF algorithm is implemented within Spark and how the resulting recommendations can be significantly improved through adding LtR as a rescoring mechanism. We talk about how we train and tune the model and what makes us consider the model “production ready”. The choice of Spark has helped to speed up development by providing a lingua franca between data scientist and engineers and help them to work together effectively. Spark has also allowed us to generate and deploy the model into production and generate billions of high-quality article recommendations every day.
Key takeaways: – Building a good recommendation system is a complex issue, but Spark can greatly help improve the time needed to create and evaluate machine learning models. – Spark provides common language between data scientist and data engineers. Having both those groups communicate can speed up development and improve the end product.
Learning to Rank with Apache Spark: A Case Study in Production Machine Learni...Databricks
This document discusses how Elsevier used Apache Spark to build a machine learning model for recommending scientific articles on ScienceDirect. It describes using collaborative filtering initially, but then improving recommendations with a learning to rank model that incorporated additional article features. Testing showed the learning to rank model provided a 7-10% improvement in user engagement over collaborative filtering alone. The model continues to be retrained adaptively using user feedback to further optimize recommendations.
This document discusses Accenture's approach to data modernization. It outlines key trends in data-driven organizations, including democratizing data, incorporating new data sources, focusing on advanced analytics, adopting big data and hybrid architectures, and changing skills requirements. The document then presents a high-level 9-step approach to agile analytics that engages stakeholders, identifies value opportunities, formulates hypotheses, understands data sources, defines models, prepares data, prototypes and iterates, pilots and executes projects, and delivers actionable insights. It also notes some common challenges organizations face in data transformation, such as unrealistic technology expectations, inadequate delivery approaches, skills gaps, and poor data governance. Finally, it poses questions to help organizations assess their readiness
Big data analytics can provide valuable insights for small and medium enterprises (SMEs). While SMEs have less data than larger corporations, analytics can determine relevance within available data and help SMEs make strategic decisions, improve operations, enable faster analysis, and gain competitive advantages. Cloud computing provides a cost-effective way for SMEs to access big data tools without large upfront investments. Choosing the right analytics framework and solutions tailored for SMEs' needs, along with proper resources and organizational alignment, are keys to success with big data projects.
The document discusses five pillars for data valuation: predictively spotting new opportunities, innovating in an agile way, demonstrating transparency and trust, providing unique personalized experiences, and always being on and operating in real time. It provides more details on the analytic lifecycle for predictively spotting opportunities, the need for data agility in application development, establishing a data ethic of transparency and trust, using data to provide personalized experiences, and reliably storing data to always be on and operating in real time.
This document discusses big data and how organizations can get the most value from it. It defines big data as large data sets that are difficult to process using traditional data management tools due to their size and complexity. The document outlines the characteristics of big data, including volume, velocity, and variety. It also discusses different sources of big data, challenges of big data, and how organizations can analyze big data to gain insights, make predictions, and gain competitive advantages. The document advocates for measuring the success and value of big data initiatives.
Project Control - Your Driver to Enterprise Profitability - Iain Graham, Sale...Mediehuset Ingeniøren Live
Keeping projects under control is a key for any Enterprise that runs projects driven businesses. Beyond collecting and gathering data to report what has happened, effective project control “best of breed” practices try today to include more analytical processes, which is mandatory pre-condition to drive each single project and the whole portfolio of projects performances to success.
This session will introduce you to significant business cases that leading existing Customers experienced by adopting EcoSys EPC Enterprise Planning & Control system.
Therefore, it will provide you with sample of benefits that You can gain after adopting state of the art technology and effective execution management practices to ensure most efficient control to your projects, and therefore to your business.
This document discusses Signet Jewelers' journey to becoming a more data-driven organization through the use of Alteryx and Tableau. It describes how Signet moved from static, time-consuming reporting to empowering business users with self-service analytics. This allowed Signet to answer questions faster, drive action from insights, and transform its culture to be more collaborative and analytical. The document promotes attending upcoming sessions at the conference to learn more.
a2c named in Top 20 Most Promising Data Analytics Consulting Companies by CIO...a2c
In November of 2013 a2c was chosen as one of the Top Twenty among hundreds of data analytics consulting companies who are at the forefront of tackling essential and bleeding edge analytics challenges.
Data Science: The Art of Foul Play by Serhiy ShelpukSoftServe
Serhiy Shelpuk, Lead Data Scientist, Competence Manager at SoftServe, Inc., delivered an insightful presentation on Data Science and SoftServe`s Data Science Group Knowledge Model at the 2013 IT Weekend Ukraine conference that took place on September 14, 2013, in Kyiv, Ukraine. Here`s his presentation.
Karin Patenge "DIGITAL TRANSFORMATION DATA DRIVEN BUSINESS Bedeutung und Nutz...GEOkomm e.V.
1) Digital transformation and data-driven business models are becoming increasingly important as information and data have become critical business assets.
2) Data has huge emergent potential value when combined with other data and consumed by multiple parties, but most organizations currently understand and leverage only a small percentage of their data's value.
3) To truly be data-driven, organizations must move beyond simply collecting data to integrating data acquisition, management, sharing, and analytics across business functions and ecosystems.
Day-3, Mr. Satyajit Dwivedi analytics for decision makingIPPAI
This document discusses how utilities can use analytics and data from sources like smart meters, SCADA systems, and transaction data to gain insights. It outlines how analytics can help with peak load management, understanding customer consumption behavior, fraud detection, load forecasting, and predictive asset management. The document also discusses the need for utilities to move from just accessing data to gaining insights through data visualization and analytic visualization. Finally, it presents a maturity model for analytics and notes that smart grid pilots can help utilities orchestrate information management and make fact-based decisions using analytics.
How can we nurture these uniquely human traits in workplace culture to create a high-performing organization?
In this webinar, you’ll walk away with:
- Why our ability to collaborate, envision different futures, and tell stories allow us to excel
- The four key human traits that make us poised to embrace technology and not fear it
- Real-world case examples of high-performing organizations that are embracing human characteristics to achieve better business results
The document summarizes key takeaways from the Gartner Supply Chain Executive Conference in 2017. It discusses major challenges facing supply chains like limited workforces and the need for digital projects to be better aligned. It also covers topics around disruption from new entrants like drones and robots. The future of supply chains is discussed as moving to an intelligent, self-adapting system with little human intervention using data, suppliers, customers and machines. Talent retention and acquisition challenges are also summarized like a more fluid workforce model and need for targeted skills development.
Innovation Funding for Growth Oriented Companies in CalgaryBoast Capital
The Canadian Government provides over $7B in innovation funding each year and is considered one of the most generous countries for funding research, innovation, and experimentation.
Learn more about a few of Canada's innovation funding programs during this exclusive Lunch & Learn. We'll cover the following topics:
-Scientific Research & Experimental Development Tax Credit (SR&ED) presented by Jeff Christie, Boast Capital
-TECTERRA presented by Richard Gorecki, TECTERRA
-Mitacs presented by Eric Loo, Mitacs
Concept Searching, developer of automatic semantic metadata, auto-classification, and taxonomy management, has teamed with WAND, developer of industry and business function specific foundation taxonomies, to make developing, deploying, and using taxonomies simple.
Are your end users disappointed with their search results? Can they find exactly what they need, when they need it, and in the right format?
Learn how to immediately take advantage of unique multi-word concept identification capabilities to rapidly classify unstructured and semi-structured content, aligned with organizational goals and eliminating end user tagging.
This drives improved outcomes in search transparency, information governance, and collaboration across the enterprise, and further refines taxonomies and the SharePoint Term Store.
Understand how to achieve a return on your investment and get your organization’s taxonomies up and running in just two to three weeks.
• The value of this combined offering, set against traditional approaches
• What are foundation taxonomies
• How to rollout taxonomies across an organization
• Ways to manage and change taxonomies
This document discusses secrets of successful digital transformation. It begins by noting that companies must be responsive to change or risk being disrupted. It then discusses how technology innovation is accelerating and the average corporate lifespan is decreasing. For digital transformation to succeed, companies must have clear strategies, engage employees, foster innovation, and be led by visionary leadership. The document outlines a four step process for digital transformation: envision the goals, prototype quick solutions, launch transformations, and continuously maintain transformations.
This second practicetheory course builds on SWK 501, Generalist Practice with Individuals, Families and Small Groups, extending the concepts of strengths based practice to work with organizationsand communities. The relationshipsbetween communities and organizations and at risk populations are infused throughout the course. Knowledge, values and skills will be obtained throughout the course. Thesewill be gainedthrough readings, oral and written assignments, and videos.
second practice theory course builds on SWK 501, Generalist Practice with Individuals, Families and Small Groups, extending the concepts of strengths based practice to work with organizations and communities. The relationships between communities and organizations and at risk populations are infused throughout the course. Knowledge, values and skills will be obtained throughout the course. These will be gained through readings, oral and written assignments, and videos.
The document is a slide deck presentation given by Sri Krishnamurthy on the topic of "The 21st Century Quant". Some key points from the presentation include:
- An overview of the history and evolution of quantitative roles on Wall Street from the 1980s to today.
- Emerging trends in technologies like big data, cloud computing, machine learning/AI that are changing quant jobs.
- Opportunities for quants in growing areas like fintech, cryptocurrencies, and addressing regulatory requirements.
- Sri Krishnamurthy's background and the analytics certification programs being offered through QuantUniversity.
ThinkTank collaboration software transforms the way people work together, enabling leaders to realize extraordinary results from their teams. Powered by a patented Collaboration-as-a-Service platform, ThinkTank provides leaders with best practice collaborative business apps that accelerate the journey to shared understanding and breakthrough solutions.
Developed by the world’s leading researchers in digital collaboration, ThinkTank’s suite of agenda design, crowdsourcing, crowd computing, and collaborative workflow solutions transform the results of workgroups, projects, strategic initiatives, and organizational processes.
Organizations like Procter & Gamble, Deloitte, EY, Barclays, AIG, FMC Technologies, and NASA have used ThinkTank to radically accelerate innovation, enhance operations, and solve their toughest problems. ThinkTank consulting partners, including Deloitte, EY, and PwC, rely on our collaboration software to dramatically improve business performance for their clients.
The Technology Strategy Board aims to accelerate economic growth through business-led innovation. It focuses on helping businesses get to market faster, connecting companies to expertise and assistance, turning government actions into opportunities, investing in areas of global potential, and improving organizational capabilities. The Board helps strengthen leading UK businesses, identifies sectors that can become world-leading, and nurtures tomorrow's growth industries. It provides grants, collaborations, entrepreneurial support and knowledge sharing to stimulate innovation.
Beyond trends: The top 10 transformational realities redefining procurementZycus
In this on-demand webinar, hosted by Zycus and EBG Network, is an international panel of industry experts. The webinar features a presentation by Jon Hansen of Procurement Insights’, who discusses with the panel, about the top ten procurement trends for 2019 before zeroing in on the three specific areas that will have the greatest impact on procurement professionals right now and for the foreseeable future.
Management Knowledge Transfer Partnerships - Funding opportunity to expand ma...KTN
In this webinar you will find out how expanded management capability via a funded Management Knowledge Transfer Partnership (mKTPs) can build resilience, help recovery and drive positive strategic change in post Covid-19.
Find out more about the Knowledge Transfer Partnership programme at www.ktp-uk.org.
This document summarizes a case study about how Airbnb scales data science. It discusses Airbnb's business model as a two-sided marketplace matching people seeking accommodation with people renting space. It describes how Airbnb uses data science techniques like predictive modeling, A/B testing and natural language processing to understand customer experiences. It notes that Airbnb's data science team of 70 employees, including 30+ engineers, is focused on scaling data science across the company to propel growth.
The Neutrino Donut - SBIR Grants ProcessEarle Hager
This document provides information on commercializing biotechnology through university technologies and partnerships. It discusses developing options on university technologies, understanding various types of patent applications and funding sources. It provides details on working with university tech transfer offices, the SBIR grant program, and leveraging university networks. It also addresses identifying partnership and funding opportunities internationally as well as challenges like limited technology disclosure information from universities.
Digital technology has made a profound impact on business: it has disrupted organisational structures, created new revenue streams and fundamentally changed the way businesses engage with their customer base. Advancements in analytics, the increasing capability of mobile and the rise of Cloud have completely disrupted traditional models - but the technology only forms half of the picture - transformation requires a change in mindset accompanied by a genuine cultural shift.
Despite concerns about economic growth, Chinese consumers keep spending. They are becoming more selective about where they spend their money, shifting from products to services and from mass to premium segments, from offline to online. How can we tap the shift in consumerism in China with intelligent and creative database marketing?
Similar to Lancashire SME workshop - evaluation to invoice (20)
This document provides a summary of a presentation on statins. It discusses the benefits of statins in reducing cardiovascular events and mortality in both primary and secondary prevention. It addresses several controversies around statins, including their association with diabetes, cognitive impairment, cancer, and hemorrhagic stroke. While some modest risks are noted, the overall benefits of statins in reducing cardiovascular risk are found to outweigh these potential risks. The document emphasizes the importance of statin adherence to achieve optimal outcomes and addresses targets for LDL and non-HDL cholesterol levels according to recent guidelines.
Targeting lipids: a primary and secondary care perspectiveInnovation Agency
Presentations by Dr Sue Kemsley and Dr Gavin Galasko from the first webinar of the Mastering Cholesterol webinar series on Thursday 26 January 2023, focusing on lipid management from a primary and secondary care perspective.
Supporting the optimal detection and management of BP in Primary CareInnovation Agency
Presentation by Jane Briers, Programme Manager - Innovation Agency at the Supporting recovery in Primary Care using Proactive Frameworks for Long Term Conditions event on Thursday 15 September 2022.
Presentation by Dr Lauren Moorcroft, GP Partner - Brookvale Practice at the Supporting recovery in Primary Care using Proactive Frameworks for Long Term Conditions event on Thursday 15 September 2022.
Introduction to Supporting recovery in Primary Care using Proactive Framework...Innovation Agency
Presentation by Julia Reynolds, Associate Director for Transformation - Innovation Agency at the Supporting recovery in Primary Care using Proactive Frameworks for Long Term Conditions event on Thursday 15 September 2022.
Presentation by Paul Brain, Project Manager at the Excel in Health series - Introduction to data webinar on Monday 6 June 2022.
In this session we discussed how SMEs can use data to grow their business and access new opportunities in the market.
Presentations by Mike Kenny, Acting Co-Director of Enterprise and Growth, Innovation Agency and Dr Neil Paul, a GP and Board Member with Cheshire East ICP at the Excel in Health: Understanding the NHS Landscape webinar on Wednesday 11 May 2022.
Developing Effective Remote Consultations in Outpatients webinarInnovation Agency
1) The document discusses strategic plans to increase the use of virtual appointments through video to help restore NHS services and reduce backlogs as directed nationally.
2) Data is presented on the percentage of virtual vs face-to-face appointments by specialty for different regions, showing variation between specialties and trusts in uptake of virtual appointments.
3) Interviews were conducted with NHS staff across roles and specialties to understand the reasons for the differences in uptake of virtual appointments and identify barriers to wider adoption. A separate report from patient interviews also provided feedback.
LCR and Cheshire and Merseyside Health MATTERS networking eventInnovation Agency
Master slide deck from the LCR and Cheshire and Merseyside Health MATTERS networking event on Wednesday 24 November 2021 at Sci-Tech Daresbury Laboratory.
Master slide deck from the Excel in Health webinar series: The NHS landscape presentation.
This webinar identifies the structure of the NHS and its national priorities.
The session will cover the following topics:
Understand the structure of the NHS
Understand the national priorities of the NHS
Recognise the barriers to sale
The document discusses strategies for effective virtual collaboration using Zoom. It covers:
1. Getting familiar with basic Zoom functions and pushing boundaries to achieve results through techniques like choosing the right technology, managing time and atmosphere, addressing technical issues, and designing for inclusivity.
2. Methods for collecting data virtually through polling software, informal tools like chat and reactions, and creative approaches like using glass jars, mountains, push pins, and post-its for feedback.
3. The importance of incorporating fun and enjoyment into virtual meetings by setting challenges, using stories, sharing passions, and exploring improv to promote effective learning.
The document discusses restorative practices and community circles. It provides information on the core principles and processes of restorative circles, including their purposes, structural elements, characteristics, and stages. Circles are presented as an alternative to traditional hierarchical meetings and aim to allow all voices, build relationships, and develop understanding and solutions. Indigenous justice practices of restoration and healing are also honored.
The document outlines an agenda for a webinar hosted by the Innovation Scout network. It will include an introduction to the Innovation Scout network, a presentation from an advocacy link worker, a Q&A session, and wrap up. Attendees are encouraged to tweet with specific hashtags and email the contact for follow up discussions. The Innovation Scout network is a community of practice that was relaunched in 2019 to support innovation in health and social care through tools, culture change, entrepreneurial skills development, and networking. It has over 80 members across the North West Coast region working on healthcare innovation.
Local Advanced Lung Cancer: Artificial Intelligence, Synergetics, Complex Sys...Oleg Kshivets
Overall life span (LS) was 1671.7±1721.6 days and cumulative 5YS reached 62.4%, 10 years – 50.4%, 20 years – 44.6%. 94 LCP lived more than 5 years without cancer (LS=2958.6±1723.6 days), 22 – more than 10 years (LS=5571±1841.8 days). 67 LCP died because of LC (LS=471.9±344 days). AT significantly improved 5YS (68% vs. 53.7%) (P=0.028 by log-rank test). Cox modeling displayed that 5YS of LCP significantly depended on: N0-N12, T3-4, blood cell circuit, cell ratio factors (ratio between cancer cells-CC and blood cells subpopulations), LC cell dynamics, recalcification time, heparin tolerance, prothrombin index, protein, AT, procedure type (P=0.000-0.031). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and N0-12 (rank=1), thrombocytes/CC (rank=2), segmented neutrophils/CC (3), eosinophils/CC (4), erythrocytes/CC (5), healthy cells/CC (6), lymphocytes/CC (7), stick neutrophils/CC (8), leucocytes/CC (9), monocytes/CC (10). Correct prediction of 5YS was 100% by neural networks computing (error=0.000; area under ROC curve=1.0).
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Rasamanikya is a excellent preparation in the field of Rasashastra, it is used in various Kushtha Roga, Shwasa, Vicharchika, Bhagandara, Vatarakta, and Phiranga Roga. In this article Preparation& Comparative analytical profile for both Formulationon i.e Rasamanikya prepared by Kushmanda swarasa & Churnodhaka Shodita Haratala. The study aims to provide insights into the comparative efficacy and analytical aspects of these formulations for enhanced therapeutic outcomes.
- Video recording of this lecture in English language: https://youtu.be/Pt1nA32sdHQ
- Video recording of this lecture in Arabic language: https://youtu.be/uFdc9F0rlP0
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
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One health condition that is becoming more common day by day is diabetes.
According to research conducted by the National Family Health Survey of India, diabetic cases show a projection which might increase to 10.4% by 2030.
Hiranandani Hospital in Powai, Mumbai, is a premier healthcare institution that has been serving the community with exceptional medical care since its establishment. As a part of the renowned Hiranandani Group, the hospital is committed to delivering world-class healthcare services across a wide range of specialties, including kidney transplantation. With its state-of-the-art facilities, advanced medical technology, and a team of highly skilled healthcare professionals, Hiranandani Hospital has earned a reputation as a trusted name in the healthcare industry. The hospital's patient-centric approach, coupled with its focus on innovation and excellence, ensures that patients receive the highest standard of care in a compassionate and supportive environment.
Cell Therapy Expansion and Challenges in Autoimmune DiseaseHealth Advances
There is increasing confidence that cell therapies will soon play a role in the treatment of autoimmune disorders, but the extent of this impact remains to be seen. Early readouts on autologous CAR-Ts in lupus are encouraging, but manufacturing and cost limitations are likely to restrict access to highly refractory patients. Allogeneic CAR-Ts have the potential to broaden access to earlier lines of treatment due to their inherent cost benefits, however they will need to demonstrate comparable or improved efficacy to established modalities.
In addition to infrastructure and capacity constraints, CAR-Ts face a very different risk-benefit dynamic in autoimmune compared to oncology, highlighting the need for tolerable therapies with low adverse event risk. CAR-NK and Treg-based therapies are also being developed in certain autoimmune disorders and may demonstrate favorable safety profiles. Several novel non-cell therapies such as bispecific antibodies, nanobodies, and RNAi drugs, may also offer future alternative competitive solutions with variable value propositions.
Widespread adoption of cell therapies will not only require strong efficacy and safety data, but also adapted pricing and access strategies. At oncology-based price points, CAR-Ts are unlikely to achieve broad market access in autoimmune disorders, with eligible patient populations that are potentially orders of magnitude greater than the number of currently addressable cancer patients. Developers have made strides towards reducing cell therapy COGS while improving manufacturing efficiency, but payors will inevitably restrict access until more sustainable pricing is achieved.
Despite these headwinds, industry leaders and investors remain confident that cell therapies are poised to address significant unmet need in patients suffering from autoimmune disorders. However, the extent of this impact on the treatment landscape remains to be seen, as the industry rapidly approaches an inflection point.