A presentation delivered by Dolapo Amusat at the IEEE Students Professional Awareness Conference (SPAC) held at the University of Ibadan, Nigeria in January 2018.
Behavioral Econ 101 for Product Design - Action Design DC 12 August 2014Stephen Wendel
Stephen Wendel's & Zarak Khan's presentation at Action Design DC on 12 August 2014, giving an introduction to behavioral economics and how it can be applied to product design.
How smart creatives innovate to solve challenges in a digital world with tech...Oladimeji Joseph Fakayode
I made this presentation at Haaga-Helia University's Digi Day to a group of business students. What's your rough sketch of the solution? Inspired by Google, Steve Blank, Goly, ClipMe and all design thinking practitioners
Digital Experiments - Action Design DC 10 Sept 15Stephen Wendel
1. Digital experiments, also known as A/B tests, involve making small changes to digital content and randomly assigning users to different versions to measure the impact of changes.
2. They provide an unambiguous way to measure the impact of changes through randomized controlled experiments, helping teams find problems, save time and money, and improve performance.
3. The presentation provides examples of how to structure different types of digital experiments and tools for implementing experiments on websites, apps, email and more.
4. User research is important to guide the questions being tested to ensure experiments are strategic and focused on key areas of impact.
Collaboration is key to success in data science according to the document. Data science requires collaboration between data scientists and those who understand the business problem to solve. This collaboration helps data scientists learn applied thinking and improves communication. The document also emphasizes that algorithms alone cannot solve problems - the data must contain relevant information, and solid statistical analysis is important. Maintaining a balance between rigor and speed of results is another important skill.
This document discusses entrepreneurship and provides advice for getting started. It recommends taking classes in multiple disciplines like engineering, computer science, business and psychology to gain a multidisciplinary perspective. It also advises building a minimal viable product (MVP) to test ideas through small, targeted experiments rather than fully developing a startup, and gaining real-world experience over the summer.
SXSW Workshop on Designing for Behavior Change (2014)Stephen Wendel
Slides from my 2.5 hour SXSW workshop on how to design products to support behavior change among users. The toolkit that accompanies it is up on actiondesign.hellowallet.com.
Why People Check Their Tech at the Wrong Times (and the Simple Trick to Stop It)Nir Eyal
Chances are you've witnessed and even took active part in a lot of indiscriminate gadget use.
But staying silent about bad technology habits is making things worse for all of us.
We need to develop social antibodies, defenses against new harmful behaviors, or else we'll end up serving technology instead of it serving us.
If we don’t build social antibodies, the disease of distraction will become the new normal.
To do this, we need to find out who's to blame for our distraction and what we need to do about it.
Read the whole blog post at: http://www.nirandfar.com/2016/03/why-people-check-their-phones-at-the-wrong-times.html
Behavioral Econ 101 for Product Design - Action Design DC 12 August 2014Stephen Wendel
Stephen Wendel's & Zarak Khan's presentation at Action Design DC on 12 August 2014, giving an introduction to behavioral economics and how it can be applied to product design.
How smart creatives innovate to solve challenges in a digital world with tech...Oladimeji Joseph Fakayode
I made this presentation at Haaga-Helia University's Digi Day to a group of business students. What's your rough sketch of the solution? Inspired by Google, Steve Blank, Goly, ClipMe and all design thinking practitioners
Digital Experiments - Action Design DC 10 Sept 15Stephen Wendel
1. Digital experiments, also known as A/B tests, involve making small changes to digital content and randomly assigning users to different versions to measure the impact of changes.
2. They provide an unambiguous way to measure the impact of changes through randomized controlled experiments, helping teams find problems, save time and money, and improve performance.
3. The presentation provides examples of how to structure different types of digital experiments and tools for implementing experiments on websites, apps, email and more.
4. User research is important to guide the questions being tested to ensure experiments are strategic and focused on key areas of impact.
Collaboration is key to success in data science according to the document. Data science requires collaboration between data scientists and those who understand the business problem to solve. This collaboration helps data scientists learn applied thinking and improves communication. The document also emphasizes that algorithms alone cannot solve problems - the data must contain relevant information, and solid statistical analysis is important. Maintaining a balance between rigor and speed of results is another important skill.
This document discusses entrepreneurship and provides advice for getting started. It recommends taking classes in multiple disciplines like engineering, computer science, business and psychology to gain a multidisciplinary perspective. It also advises building a minimal viable product (MVP) to test ideas through small, targeted experiments rather than fully developing a startup, and gaining real-world experience over the summer.
SXSW Workshop on Designing for Behavior Change (2014)Stephen Wendel
Slides from my 2.5 hour SXSW workshop on how to design products to support behavior change among users. The toolkit that accompanies it is up on actiondesign.hellowallet.com.
Why People Check Their Tech at the Wrong Times (and the Simple Trick to Stop It)Nir Eyal
Chances are you've witnessed and even took active part in a lot of indiscriminate gadget use.
But staying silent about bad technology habits is making things worse for all of us.
We need to develop social antibodies, defenses against new harmful behaviors, or else we'll end up serving technology instead of it serving us.
If we don’t build social antibodies, the disease of distraction will become the new normal.
To do this, we need to find out who's to blame for our distraction and what we need to do about it.
Read the whole blog post at: http://www.nirandfar.com/2016/03/why-people-check-their-phones-at-the-wrong-times.html
This document discusses data science and provides examples. It begins by asking what data science is besides an excuse for food and drinks. It then discusses hacking skills like bash/awk/sed and statistics concepts like probability. Domain expertise and intelligence are also important. The document presents an "intelligence cookbook" approach of first making a solution valuable, then possible, then beautiful, and finally smart. Common machine learning problems and approaches are listed. The document concludes that real data science is hard but should focus on the business problem, not just the science. It provides contact information for questions.
TDAmeritrade Holiday Spending and Behavioral EconStephen Wendel
How can get through the holidays without blowing you budget and stressing out over money? Here are the slides from a webcast with TD Ameritrade that shows you
1) Tips you can use to keep yourself on track
2) How to outsmart the tricks retailers use to make you spend more
3) What the research shows about what gifts are effective and memorable.
Enjoy!
Eric Reiss discusses the difference between innovation and best practices. Innovation addresses problems through new combinations of existing technologies, while best practices represent short-term solutions. True innovation requires thorough research to understand problems, and how solutions may unintentionally create new issues. The goal is to provide an actionable definition of innovation as a planned activity that solves acknowledged problems, often by combining two technologies, and outline a process for successful innovation.
UXWeek 2015 - Designing for Behavior ChangeStephen Wendel
These are the full slides from my 3.5 hour workshops at UX Week 2015 - on how to design products that use behavioral economics and psychology to overcome obstacles and help users take action.
Changing the medium to challenge the message - A Conversational UI case studyJay Whittaker
Marshall McLuhan said “the medium is the message”, meaning the medium changes how the message is perceived. I tell a story about how we came to prototype a conversational UI, and how this new medium challenged the team's thinking. This is less about the 'how' of constructing a Conversational UI and more about the 'why'. What thinking we needed to challenge and why this approach helped achieve that. In a broader sense it reflects the evolution of the industry in the past 5 or so years.
Anyone designing new products, strategy or change will need to consider the future world in which their creations will exist. A little more than ten years ago I was asked this question:
“What will the world look like in 10 years and how might this affect the organisation?”
To answer this I needed to learn how to be a Futurist. It wouldn't be that hard right? I could just make a few wild predictions about a utopian future with robots and sprinkle with buzzwords? No, I'd have to take another route and learn more about the world in the process.
In this talk I will break from the future-gazing and do two things rare for a Futurist; I will look back into the past and I will focus on the predictions I got wrong. What can ten years of perspective teach us and how can we use that for looking again towards the future.
Design Thinking: Finding Problems Worth Solving In HealthAdam Connor
Ideas for new devices and services can come from anywhere. But great ideas come from aligning solutions with real value and desirability for people. Design thinking provides a set of principles and structure that can act as scaffolding for teams to find and understand challenges and opportunities to focus on fan find solutions for.
The document discusses the future of IT professionals and provides both positive and negative perspectives. Positively, IT jobs are increasing in number and agile development practices are becoming more common. However, surveys show IT professionals are dissatisfied with their work and salaries have stagnated. There are also concerns about commoditization of IT roles and a view of IT as merely a cost center rather than strategic. The document argues for redefining the IT profession with a focus on culture, iterative processes, and community over formal methodologies and certifications.
The document discusses the difference between innovation and best practices. It defines innovation as introducing something new to solve problems, while best practices represent short-term solutions. The author provides seven "laws of innovation" including that innovation must solve problems, not create them, and that true innovation requires research to understand problems. Innovation is planned while invention can be accidental. The document advocates combining technologies to create new syntheses and addressing real problems through a research-driven process.
This document provides an overview of a community and directory for all things related to artificial intelligence. It summarizes discussions from various speakers on topics like the future of AI, how AI will impact jobs and business, creativity and art, ethics and privacy, and career opportunities in AI. The document also provides advice on how to prepare for a career in AI through attending events, learning from newsletters and podcasts, getting experience, and networking with people working in the field.
Slides from SXSW 2015 session on the intersection of data and design:
http://schedule.sxsw.com/2015/events/event_IAP41090
By Trina Chiasson from https://infoactive.co
The document provides an introduction to tools and techniques for improving creativity and innovation. It discusses the importance of creativity for businesses to stay ahead of competition. It then outlines several approaches to framing problems and generating ideas, including conducting a situation analysis to understand stakeholders and their needs, defining an "ideal final result", assessing available resources, and using "trends of evolution" to help spark new ideas. The overall aim is to help individuals and teams brainstorm ideas and think more creatively.
AI is already beginning to change the way every industry in the world works including scholarly publishing. What is AI, how will researcher behavior change because of it, and what opportunities and risks are just around the corner for publishers, societies, and institutions?
Tessella Consulting provides advice on successfully implementing AI and avoiding common pitfalls. The document discusses defining AI and machine learning, where each is suitable, potential issues to avoid such as focusing only on technology and not expertise, and how Tessella can help with comprehensive consulting, data science, engineering, and operationalizing AI projects from initial strategy through delivery of business value.
The Future of Computing Professions -- influences from Moore's Law, innovation, social capital development, career planning and leadership -- with a focus on the value of getting involved in professional activities.
This document discusses three key ideas for making inferences about populations based on samples:
1) Examining a sample of a population rather than the entire population, since examining everything is impractical. Samples should be representative.
2) Randomizing the sample selection to avoid bias and allow inferences about the population. Randomization protects against known and unknown factors.
3) The size of the sample is important, not the size of the population. Large enough sample sizes allow samples to reasonably represent populations. Censuses are problematic due to difficulties in measuring entire populations.
Designing Mobile Solutions for Social & Economic ContextsJonny Schneider
Technology should help solve problems for people, but all people (and their problems) are unique - there is no one size fits all. This is especially true of Mobile, where environments and user needs are much more diverse than in other computing platforms. For instance, building mobile applications for the widest reach in India requires thinking about feature phones, non-English interfaces, the 'language' of missed calls, low-bandwidth situations, cultural nuances and numerous other unique conditions.
Jonny Schneider and Nagarjun Kandukuru argue that the practice of design thinking helps mobile developers solve the most important problems in context-appropriate ways. They demonstrate how the best mobile applications lie at the intersection of technical feasibility, business viability and crucially, user delight.
Correctness in Data Science - Data Science Pop-up SeattleDomino Data Lab
Presented by: Benjamin S. Skrainka is a Principal Data Scientist and Lead Instructor at Galvanize, Inc. For several decades, he has built practical solutions to relevant problems using the best statistical and engineering tools. His expertise spans several problem domains, including sequencing DNA, estimating demand for differentiated products, measuring advertising efficacy, and forecasting for capacity planning. Ben earned an AB in Physics from Princeton University and a PhD in Economics from University College London.
Carpe Cras - seize the future! ...
This outlines some of the considerations for new (and existing) technology professionals need to consider looking forward at their careers. Created for the IEEE Computer Society New Hampshire Chapter meeting, March 8, 2011
The document discusses the future of IT professionals and provides both positive and negative perspectives. Positively, there will continue to be IT jobs, though many may be outsourced or require H1B visas. Agile development is becoming more common. However, surveys show IT professionals are dissatisfied with their work and salaries. The document argues that IT is seen negatively as a commodity and that professionals are viewed as interchangeable resources. It suggests alternative futures that focus on culture, problem-solving and incremental innovation rather than projects and tools.
This document discusses data science and provides examples. It begins by asking what data science is besides an excuse for food and drinks. It then discusses hacking skills like bash/awk/sed and statistics concepts like probability. Domain expertise and intelligence are also important. The document presents an "intelligence cookbook" approach of first making a solution valuable, then possible, then beautiful, and finally smart. Common machine learning problems and approaches are listed. The document concludes that real data science is hard but should focus on the business problem, not just the science. It provides contact information for questions.
TDAmeritrade Holiday Spending and Behavioral EconStephen Wendel
How can get through the holidays without blowing you budget and stressing out over money? Here are the slides from a webcast with TD Ameritrade that shows you
1) Tips you can use to keep yourself on track
2) How to outsmart the tricks retailers use to make you spend more
3) What the research shows about what gifts are effective and memorable.
Enjoy!
Eric Reiss discusses the difference between innovation and best practices. Innovation addresses problems through new combinations of existing technologies, while best practices represent short-term solutions. True innovation requires thorough research to understand problems, and how solutions may unintentionally create new issues. The goal is to provide an actionable definition of innovation as a planned activity that solves acknowledged problems, often by combining two technologies, and outline a process for successful innovation.
UXWeek 2015 - Designing for Behavior ChangeStephen Wendel
These are the full slides from my 3.5 hour workshops at UX Week 2015 - on how to design products that use behavioral economics and psychology to overcome obstacles and help users take action.
Changing the medium to challenge the message - A Conversational UI case studyJay Whittaker
Marshall McLuhan said “the medium is the message”, meaning the medium changes how the message is perceived. I tell a story about how we came to prototype a conversational UI, and how this new medium challenged the team's thinking. This is less about the 'how' of constructing a Conversational UI and more about the 'why'. What thinking we needed to challenge and why this approach helped achieve that. In a broader sense it reflects the evolution of the industry in the past 5 or so years.
Anyone designing new products, strategy or change will need to consider the future world in which their creations will exist. A little more than ten years ago I was asked this question:
“What will the world look like in 10 years and how might this affect the organisation?”
To answer this I needed to learn how to be a Futurist. It wouldn't be that hard right? I could just make a few wild predictions about a utopian future with robots and sprinkle with buzzwords? No, I'd have to take another route and learn more about the world in the process.
In this talk I will break from the future-gazing and do two things rare for a Futurist; I will look back into the past and I will focus on the predictions I got wrong. What can ten years of perspective teach us and how can we use that for looking again towards the future.
Design Thinking: Finding Problems Worth Solving In HealthAdam Connor
Ideas for new devices and services can come from anywhere. But great ideas come from aligning solutions with real value and desirability for people. Design thinking provides a set of principles and structure that can act as scaffolding for teams to find and understand challenges and opportunities to focus on fan find solutions for.
The document discusses the future of IT professionals and provides both positive and negative perspectives. Positively, IT jobs are increasing in number and agile development practices are becoming more common. However, surveys show IT professionals are dissatisfied with their work and salaries have stagnated. There are also concerns about commoditization of IT roles and a view of IT as merely a cost center rather than strategic. The document argues for redefining the IT profession with a focus on culture, iterative processes, and community over formal methodologies and certifications.
The document discusses the difference between innovation and best practices. It defines innovation as introducing something new to solve problems, while best practices represent short-term solutions. The author provides seven "laws of innovation" including that innovation must solve problems, not create them, and that true innovation requires research to understand problems. Innovation is planned while invention can be accidental. The document advocates combining technologies to create new syntheses and addressing real problems through a research-driven process.
This document provides an overview of a community and directory for all things related to artificial intelligence. It summarizes discussions from various speakers on topics like the future of AI, how AI will impact jobs and business, creativity and art, ethics and privacy, and career opportunities in AI. The document also provides advice on how to prepare for a career in AI through attending events, learning from newsletters and podcasts, getting experience, and networking with people working in the field.
Slides from SXSW 2015 session on the intersection of data and design:
http://schedule.sxsw.com/2015/events/event_IAP41090
By Trina Chiasson from https://infoactive.co
The document provides an introduction to tools and techniques for improving creativity and innovation. It discusses the importance of creativity for businesses to stay ahead of competition. It then outlines several approaches to framing problems and generating ideas, including conducting a situation analysis to understand stakeholders and their needs, defining an "ideal final result", assessing available resources, and using "trends of evolution" to help spark new ideas. The overall aim is to help individuals and teams brainstorm ideas and think more creatively.
AI is already beginning to change the way every industry in the world works including scholarly publishing. What is AI, how will researcher behavior change because of it, and what opportunities and risks are just around the corner for publishers, societies, and institutions?
Tessella Consulting provides advice on successfully implementing AI and avoiding common pitfalls. The document discusses defining AI and machine learning, where each is suitable, potential issues to avoid such as focusing only on technology and not expertise, and how Tessella can help with comprehensive consulting, data science, engineering, and operationalizing AI projects from initial strategy through delivery of business value.
The Future of Computing Professions -- influences from Moore's Law, innovation, social capital development, career planning and leadership -- with a focus on the value of getting involved in professional activities.
This document discusses three key ideas for making inferences about populations based on samples:
1) Examining a sample of a population rather than the entire population, since examining everything is impractical. Samples should be representative.
2) Randomizing the sample selection to avoid bias and allow inferences about the population. Randomization protects against known and unknown factors.
3) The size of the sample is important, not the size of the population. Large enough sample sizes allow samples to reasonably represent populations. Censuses are problematic due to difficulties in measuring entire populations.
Designing Mobile Solutions for Social & Economic ContextsJonny Schneider
Technology should help solve problems for people, but all people (and their problems) are unique - there is no one size fits all. This is especially true of Mobile, where environments and user needs are much more diverse than in other computing platforms. For instance, building mobile applications for the widest reach in India requires thinking about feature phones, non-English interfaces, the 'language' of missed calls, low-bandwidth situations, cultural nuances and numerous other unique conditions.
Jonny Schneider and Nagarjun Kandukuru argue that the practice of design thinking helps mobile developers solve the most important problems in context-appropriate ways. They demonstrate how the best mobile applications lie at the intersection of technical feasibility, business viability and crucially, user delight.
Correctness in Data Science - Data Science Pop-up SeattleDomino Data Lab
Presented by: Benjamin S. Skrainka is a Principal Data Scientist and Lead Instructor at Galvanize, Inc. For several decades, he has built practical solutions to relevant problems using the best statistical and engineering tools. His expertise spans several problem domains, including sequencing DNA, estimating demand for differentiated products, measuring advertising efficacy, and forecasting for capacity planning. Ben earned an AB in Physics from Princeton University and a PhD in Economics from University College London.
Carpe Cras - seize the future! ...
This outlines some of the considerations for new (and existing) technology professionals need to consider looking forward at their careers. Created for the IEEE Computer Society New Hampshire Chapter meeting, March 8, 2011
The document discusses the future of IT professionals and provides both positive and negative perspectives. Positively, there will continue to be IT jobs, though many may be outsourced or require H1B visas. Agile development is becoming more common. However, surveys show IT professionals are dissatisfied with their work and salaries. The document argues that IT is seen negatively as a commodity and that professionals are viewed as interchangeable resources. It suggests alternative futures that focus on culture, problem-solving and incremental innovation rather than projects and tools.
Leveraging on scalable technology to expand regionallyMichael Smith Jr.
This document provides advice and perspectives from Michael Smith Jr. on building a technology startup that can expand regionally or globally. Some of the key points summarized are:
1) Thailand has the capability to build a successful tech startup, launch it globally, and achieve great success, though there are local challenges to address.
2) Important factors for success include focusing on customers, collecting and using data, keeping strategies and technologies simple, developing strong company culture and leadership, and experimenting early.
3) Outsourcing infrastructure technologies through cloud services allows startups to focus on building their core products and solutions rather than infrastructure management.
The document discusses the Quantified Self movement, which involves self-tracking of metrics like health, mood, productivity, etc. using sensors and apps. It notes the diverse range of topics and collaborative nature. Key points discussed include the history and growth of the movement, various sensors available, framing data collection as experimental interventions to better understand behavior, and challenges around motivating participants and designing meaningful experiments.
Why the ‘Old Brain’ Struggles with Big Data - Deloitte CIO - WSJSherry Jones
This article discusses how people's fears about big data may stem from their "old brain" instincts rather than rational thinking. It argues that while big data collection raises valid privacy concerns, the technology also has great potential to improve lives if used appropriately. The article urges focusing on positive applications and ensuring data is only used for beneficial purposes, rather than opposing big data due to hypothetical fears.
There was a time when Bell Boys would bring you a printed message from the electric telegraph; when a telephone operator would ask you for the number; when a typist would type your letter; when the Xerox operator would create your copies; when the computer operator would load and run your program; and when a secretary would organise your mail. Those days and those jobs are long gone, but at the time the concern was; what would these people do when they came redundant ? In reality all these people found employment as new jobs were created at the behest of new technologies. Web designers, CAD experts, IT specialists, data analysts, spread sheet drivers and many more replaced the old to the point of staffing shortages. Perhaps more poignantly; we are all now the bell boys, telephone operators, typists, printers, copiers, computer operators and secretaries - empowered by the self same technologies!
Today we see a global shortfall of some 200,000 Big data analysts complemented by similar needs for specialists and experts in Artificial Intelligence, Business Modelling, Decision Support Systems, 3D Printing, Genomics; Nano Tech and more. And there is a huge demand for people with the ‘hands on’ skills to design, build, repair and fix just about everything. The reality is that many of the people in these spheres derived their base skills through play. Wasting their young lives on a screen playing computer games, searching the web, hacking code, ‘building stuff’ and more turned out to be their springboard to employment and personal prosperity. But this presents companies and managers with many new challenges as they find it difficult to let go of the old and embrace the new.
Hierarchies and old management methods might just work for industries that are static and churning out the same product day after day, but for those facing rapid change and unpredictable demands, then agility and flexibility are ket, and that demands low flat structures with new and autonomous ways of working…
Echelon Thailand 2017 – Leveraging On Scalable Technology To Expand Regionallye27
This document provides information from Michael Smith Jr. of SeedPlus.com about leveraging technology to expand regionally. Some key points include:
- Building a tech startup and launching it onto the global stage from Thailand is possible with the right focus on people, data, customer care, strategy, and tech experimentation.
- Developing a "Grossly Desirous Thing" (GDT) that achieves global popularity like Nike or iPhones is an ambitious goal, but starting regionally in Southeast Asia is a worthwhile approach.
- Success requires cultivating the right culture and people, using data to guide decisions, prioritizing amazing customer service, and constantly testing new strategies and technologies
Slides from Growthcon 2014 Lean Analytics masterclassLean Analytics
This document discusses lean analytics and how startups can use data and metrics to iterate their products and business models. It provides examples of how companies like Hotmail, Flickr, and Twitter pivoted from their original ideas. The core of lean is continuous experimentation and iteration to find product-market fit through analytics. Good metrics should be understandable, comparative, and behavior changing. The document discusses frameworks like Eric Ries' three engines of growth - virality, price, and stickiness. It also provides examples of how companies empirically validated problems and solutions through low-cost experiments like Twitter polls and Mechanical Turk interviews.
Organizations in a Future with Generative AIKye Andersson
The document discusses how organizations can prepare for a future with generative AI. It begins by acknowledging people's mixed feelings about such a future and lack of clarity on how jobs may change. It then defines AI and generative AI, providing examples of how the latter can automate tasks like content generation, customer support, and sales. The document also notes challenges of rapid change and two potential AI futures - continuing existing approaches or finding new solutions beyond human limitations. It emphasizes that constant change requires AI to help supercharge organizations, people, and adaptability, but getting there requires ownership and understanding of AI at the top of organizations and shifts in culture, goals, and autonomy.
Scaling SlideShare to the World - An Asian PerpectiveAmit Ranjan
This document discusses lessons learned from scaling SlideShare, a presentation sharing platform, globally. Some key points include: focusing on organizational culture and values over specific ideas or markets; taking an agile, iterative approach to product development; prioritizing speed of development over initial scalability; focusing on widespread distribution before deep engagement; using metrics and data to inform product decisions; understanding cultural differences between East and West; outsourcing non-core complexities; managing risk; and focusing on users over competitors. The document provides several examples and insights from SlideShare's experience expanding internationally.
Current challenges facing the implementation of NoSQL-type databases involve how to use advanced rule-based analytics on large tables and key value stores, where metadata is often sparse. Graph databases or triple stores are great for utilizing one’s metadata, but are often computationally inefficient compared to NoSQL stores. To combat this problem, Modus Operandi will showcase a Predicate Store inside of its MOVIA product that can run advanced, first-order level, logical rule sets and queries against large tables or column stores directly to provide a scalable, rapid and advanced data analytics for cloud applications. This provides graph complexity in terms of content with the performance and scalability of NoSQL data approaches. The system also allows for both statistical algorithms as well as logic-based rule sets to be run concurrently, meaning that a host of parallel analytics can be run at once, providing deep analysis over a multitude of important pattern types.
Overcoming corporate resistance to social mediaEmma Hamer
This document summarizes a workshop on overcoming resistance to social media within corporations. It begins by outlining common excuses and skepticism from employees. It then discusses developing a strategy and securing leadership support. Tactics discussed include educating employees, starting small with volunteers, and sharing success stories. The document argues that social media is an opportunity, not a threat, and that involving champions and measuring results can help overcome resistance to change.
The document discusses using predictive analytics and machine learning to provide personalized targeting and increase marketing relevance. It describes an international business-to-business company that sells office supplies via various marketing channels, including catalogs and websites. The company aims to reach the right customers with the right products through the most appropriate channels. A customer intelligence firm uses data and predictive modeling to help the company achieve these goals and improve marketing performance metrics.
Kay Yong Khoo is a member of the external advisory board for the MSc(ITE) program at the University of Hong Kong. The document discusses enabling STEM education through transdisciplinary approaches like STEM, STEAM, and STREAM. It also discusses the importance of computational thinking skills from an early age, including abstraction, algorithmic thinking, decomposition, pattern recognition, and how these skills help solve problems.
The document discusses the evolution of technology and the role of the modern technologist. It describes the author's personal journey with technology from 1986 to present day. It then provides statistics on internet and device usage that illustrate how ubiquitous technology has become. The document outlines the many roles and challenges of a technologist, such as ensuring business continuity, managing teams, and justifying security needs. It emphasizes that technologists must be technically savvy, business-oriented, and able to adapt to constant changes in both technology and business landscapes. The conclusion reflects on the many challenges technologists face and stresses the importance of structure, training, communication, and a problem-solving mindset.
The document discusses change management and facilitating change. It introduces various tools and techniques for understanding change processes at different levels of complexity. It also discusses the importance of involving stakeholders and using whole systems approaches, such as appreciative inquiry, to create engagement and alignment around change initiatives.
Lean Analytics: Using Data to Build a Better Business FasterLean Startup Co.
This document summarizes key points from a Lean Analytics conference presentation. It discusses lean startup principles like iterating based on data and customer feedback rather than following a predefined plan. It provides examples of how startup ideas and business models can change based on learning. Metrics that matter at different stages are discussed, like activation rate for stickiness and viral coefficient for growth. The importance of focusing on one key metric at a time is emphasized. Baselines for growth rates, engagement, and churn are provided as guidelines for startups.
1. Keep your pitch concise and focus on the problem, solution, and business model in 2-4 minutes.
2. Customize your pitch for your audience and know their interests and pain points.
3. Practice your pitch out loud and get feedback to refine your delivery and message. Have a call to action to engage your audience.
This document discusses the Lean Startup methodology for building startups. It emphasizes using validated learning through experiments and customer feedback to reduce the time and resources wasted on products no one wants. Key principles include building minimum viable products to test hypotheses quickly and continuously deploying code to gather feedback to pivot the product as needed. This approach aims to maximize learning while minimizing wasted effort through practices like rapid A/B testing and measuring business metrics.
Similar to Dolapo Amusat - How to begin to build stuff @ IEEE SPAC, Ibadan (20)
Explore the key differences between silicone sponge rubber and foam rubber in this comprehensive presentation. Learn about their unique properties, manufacturing processes, and applications across various industries. Discover how each material performs in terms of temperature resistance, chemical resistance, and cost-effectiveness. Gain insights from real-world case studies and make informed decisions for your projects.
5. Picking the problems
you want to solve
The Hedgehog Concept (The three spheres)
What are you
passionate
about?
What
drives your
economic
engine?
What can
you be the
best in the
world at?
6. Stay Lean
Start with an MVP
The Tech ‘Delusion’ + Low internet penetration
Beneath every Tech solution is a human
need/problem
Organic vs. paid
7. Face Reality
Teamwork makes the dream work
The Stockdale Paradox
Retain faith that you
will prevail in the
end, regardless of the
difficulties
Confront the most brutal
fact of your current
reality, whatever they
may be
9. Pivot/Iterate
Pivot: change in strategy (zoom-in, zoom-out,
consumer segment, consumer need etc.)
Iteration: changes/improvement in products
The ‘pivot or persevere’ dilemma
10. Network
Join/start communities
Don’t be too shy to reach out to absolutely
anyone!
Emotional intelligence (explore psychology)
Read voraciously (depth & breadth).
11. Good Reads
Zero to One by Peter Thiel
Good to Great by Jim Collins
The Lean Startup by Eric Ries
Rework by Jason Fried
Hooked by Nir Eyal, Ryan Hoover
12. Go on and build!
Never forget: your most important
startup is yourself.