Automated Decision Making with Predictive Applications – Big Data DüsseldorfLars Trieloff
Another installment and iteration of my talk on predictive applications, automated decision making and why cognitive biases prevent us from making the best decisions at scale
Automated Decision making with Predictive Applications – Big Data HamburgLars Trieloff
Most businesses are making most decisions the way Lizards do: based on very simple reflex-response patterns and let cognitive biases taint their decision making. Instead of letting gut feel and biases take over, predictive applications make decisions fast, cheap and fact-based.
Automated decision making using Predictive Applications – Big Data ParisLars Trieloff
Predictive Applications enable automated data-driven decisions using big data, machine learning, artificial intelligence and optimization algorithms. With this, they are able to scale decision making, improve the quality of decisions and circumvent cognitive biases that cloud human decision making.
Automated decision making with predictive applications – Big Data BrusselsLars Trieloff
My slides from Dataconomy's Big Data, Brussels event in March 2015. Key topics: what are predictive applications and how can they help companies make better decisions, faster and cheaper.
Automated Decision Making with Predictive Applications – Big Data DüsseldorfLars Trieloff
Another installment and iteration of my talk on predictive applications, automated decision making and why cognitive biases prevent us from making the best decisions at scale
Automated Decision making with Predictive Applications – Big Data HamburgLars Trieloff
Most businesses are making most decisions the way Lizards do: based on very simple reflex-response patterns and let cognitive biases taint their decision making. Instead of letting gut feel and biases take over, predictive applications make decisions fast, cheap and fact-based.
Automated decision making using Predictive Applications – Big Data ParisLars Trieloff
Predictive Applications enable automated data-driven decisions using big data, machine learning, artificial intelligence and optimization algorithms. With this, they are able to scale decision making, improve the quality of decisions and circumvent cognitive biases that cloud human decision making.
Automated decision making with predictive applications – Big Data BrusselsLars Trieloff
My slides from Dataconomy's Big Data, Brussels event in March 2015. Key topics: what are predictive applications and how can they help companies make better decisions, faster and cheaper.
Big Data Berlin – Automating Decisions is the Next Frontier for Big DataLars Trieloff
Just collecting, storing and analyzing data is not enough. In order to benefit from it, you have to overcome organizational and human inertia and establish automated processes that use insights gained from your data.
This presentation has been presented at http://dataconomy.com/28-august-2014-big-data-berlin/
Data Natives 2015: Predictive Applications are Going to Steal Your Job: this ...Lars Trieloff
Fears of robots taking away blue collar jobs have been coming and going over the last decade. But this time it’s different: a new breed of predictive applications, or white-collar robots are going after knowledge-worker and managerial jobs. Using automated data-driven decisions, they speed up and improve critical business processes and leave employers and employee’s scratching their heads what is coming next. Lars Trieloff, who is building predictive applications for a living at Blue Yonder explains what happens, why it happens and what it means for you (and your boss).
Maximising Capital Investments - is guesswork eroding your bottomline?Michael McKeon
Globally, organisations waste US$122 million for every US$1 billion invested due to poor project performance. Daniel Galorath, the world’s leading expert in project estimation, explains why - and how to create better outcomes.
Keynote presentation at our Magyar Telekom "AI for Everyone" conference in Budapest at 21st of March 2017.
You will find a the blog companion here: https://aistrategyblog.com/ which provides insights into how we humans perceive AI. Enjoy the read if you get there.
If you would like to have the presentation or have any questions please get in touch, don't be shy!
Поставщики GRC-решений подают формальное соответствие как обязательный этап на пути к оценке рисков. Докладчик расскажет о недостатках таких решений, о том, что на самом деле требуется вместо них и как разумно применять существующие недорогие и перспективные решения для управления уязвимостями.
"The Unintended Consequences of Beating Users with Carrot Sticks: Radical Thoughts on Security Reform" Presentation by
Benjamin Tomhave at OWASP 2010 AppSec DC Cofnerence. Uploading here for non-mac users. (http://www.owasp.org/index.php/The_Unintended_Consequences_of_Beating_Users_with_Carrot_Sticks:_Radical_Thoughts_on_Security_Reform)
How we killed our process, technology stack, and assumptions – and survivedJason Lotito
How do you introduce new ways of building products without stopping development? MeetMe.com's Jason Lotito will reveal the challenges his team encountered while changing their development process, including the perils of adding new technology to the stack. He'll also describe how the team moved from a slower development process to a faster, more efficient one — practically overnight.
How Four Cognitive Biases Deceive Analysts and Destroy ActionabilityEric Garland
In this presentation for the Intelligence Collaborative, I explore cognitive bias - social, decision, probability, and memory - and its effect distortion clear thinking about strategy and decision making. This is part of of my executive training course "Executive Mind Traps.
BIG DATA MANAGEMENT - forget the hype, let's talk about the facts! Lisa Lang
This is a panel/workshop session developed for NEXT 2014 in Berlin.
Guests:
Lisa Lang (Twilio) Anke Domscheit-Berg (Opengov.me) Olga Steidl (Linko ) Ivan P. Yamshchikov (Yandex) Felienne Hermans (TU Delft)
----
Content:
Everyone is talking about Big Data – but what’s really behind it and how can you make data work for your business?
Collecting data is just one part of the puzzle. To source the right information, read it so it makes sense and -finally- how to execute on it is the most important task for successful big data management.
At this panel workshop we’ll listen to a lot of examples from big companies who’re dealing with massive amount of data on a daily basis. Each panel member will give a short demo and insight to their strategies and might revile some surprising facts.
This workshop is organised in cooperation with Berlin Geekettes.
Risk metric frameworks cover most of the elements that organizations deal with from an operational perspective. We have identified a gap in those, in which social media activities are not represented well (albeit being the highest growing attack vector). In this talk we’ll present a social media risk metric framework that allows organizations to measure and track both individuals as well as 3rd party entities risk to the organization.
The law and ethics of data-driven artificial intelligencePyData
By Aileen Nielsen
PyData New York City 2017
This talk is a completely non-technical discussion of how the law currently regulates artificial intelligence (if it does at all) and what is likely to change in the near future. The talk is geared towards technically-minded practitioners of data driven intelligence with the aim of increasing discussion of the social and ethical impact of data driven AI and how to code responsibly.
Global CISO Forum 2017: How To Measure Anything In Cybersecurity RiskEC-Council
Richard is a security executive with ~20 years experience ranging from start-ups to global organizations. He is currently the CISO/VP of Trust for Twilio and most recently the VP/GM Cybersecurity and Privacy for GE Healthcare. His background is in Information Security, Digital Risk Management and Product Development with an analytics bent. His current focus is developing quantitatively informed strategies, building agile teams that scale and making digital risk measurable. Likewise, he recently co-authored a decision analysis book called “How To Measure Anything In Cybersecurity Risk” (Wiley 2016) This book targets those looking to improve risk management strategies using predictive analytics.
Data Storytelling - Game changer for Analytics Gramener
50 Percent of Data Science Projects Fail at
Consumption: Can Storytelling Be Your Game
Changer
Growth of Self Service BI has generated a lot of
dashboards, but “lots” does not always mean “good” or
“useful”.
• While advances in AI/ML lead to deeper insights,
business teams struggle with the adoption of
algorithms and consumption
• How can data officers and analytics leaders
get better business ROI from their data science
investments?
• This session will show you how to unleash the
power of data storytelling for business decision-
making, using industry examples
Accelerated finance and tech leadershipTapp Commerce
We’re super excited being part of the accelerated agenda of intersection economies. Technology is the enabler, self-learning systems constantly enhance the lives of individuals and optimise merchant locations extending reach across suburbs, amplifying impact on cash society.
Tapp platform contributes to well-being of millions of consumers, narrows inequality and pushes cash economy to further impact the stability of emerging countries.
Please find a collection of technologies, AI, forecasting, game changer opportunities and conclusions of how the world stands. We’re pulling economies towards stability while providing people the opportunity to choose for themselves.
Algorithmic Fairness: A Brief IntroductionAnthonyMelson
A two-part guest lecture originally given at University of Missouri St. Louis. This brief introduction focuses on the origin and scope of recent research and debate in algorithmic fairness (a sub-set of AI Ethics) at a high level that does not require expertise in machine learning or programming.
The ultimate guide to data storytelling | MaterclassGramener
Gramener collaborated with Nasscom to conduct an online masterclass session on "Storytelling With Data." Gramener's CEO, S Anand, led the masterclass and shared some important slides on how to make data stories and how to drive storytelling.
The slides talk about the structure of data stories and how to find meaning full insights from data. There are real-time examples of data analysis and visualizations we created a Gramener to communicate insights as stories.
This is an ultimate guide on data storytelling that offers tips to create data stories, things to keep in mind while making storylines, and choosing designs to make a design-led data story.
Know more about Gramener's data storytelling workshop for analysts and data scientists at https://gramener.com/data-storytelling-workshop
Big Data Munich – Decision Automation and Big DataLars Trieloff
My presentation from Big Data Munich: How decision automation based on big data and machine learning can help you run a better business and avoid common cognitive biases.
Big Data Berlin – Automating Decisions is the Next Frontier for Big DataLars Trieloff
Just collecting, storing and analyzing data is not enough. In order to benefit from it, you have to overcome organizational and human inertia and establish automated processes that use insights gained from your data.
This presentation has been presented at http://dataconomy.com/28-august-2014-big-data-berlin/
Data Natives 2015: Predictive Applications are Going to Steal Your Job: this ...Lars Trieloff
Fears of robots taking away blue collar jobs have been coming and going over the last decade. But this time it’s different: a new breed of predictive applications, or white-collar robots are going after knowledge-worker and managerial jobs. Using automated data-driven decisions, they speed up and improve critical business processes and leave employers and employee’s scratching their heads what is coming next. Lars Trieloff, who is building predictive applications for a living at Blue Yonder explains what happens, why it happens and what it means for you (and your boss).
Maximising Capital Investments - is guesswork eroding your bottomline?Michael McKeon
Globally, organisations waste US$122 million for every US$1 billion invested due to poor project performance. Daniel Galorath, the world’s leading expert in project estimation, explains why - and how to create better outcomes.
Keynote presentation at our Magyar Telekom "AI for Everyone" conference in Budapest at 21st of March 2017.
You will find a the blog companion here: https://aistrategyblog.com/ which provides insights into how we humans perceive AI. Enjoy the read if you get there.
If you would like to have the presentation or have any questions please get in touch, don't be shy!
Поставщики GRC-решений подают формальное соответствие как обязательный этап на пути к оценке рисков. Докладчик расскажет о недостатках таких решений, о том, что на самом деле требуется вместо них и как разумно применять существующие недорогие и перспективные решения для управления уязвимостями.
"The Unintended Consequences of Beating Users with Carrot Sticks: Radical Thoughts on Security Reform" Presentation by
Benjamin Tomhave at OWASP 2010 AppSec DC Cofnerence. Uploading here for non-mac users. (http://www.owasp.org/index.php/The_Unintended_Consequences_of_Beating_Users_with_Carrot_Sticks:_Radical_Thoughts_on_Security_Reform)
How we killed our process, technology stack, and assumptions – and survivedJason Lotito
How do you introduce new ways of building products without stopping development? MeetMe.com's Jason Lotito will reveal the challenges his team encountered while changing their development process, including the perils of adding new technology to the stack. He'll also describe how the team moved from a slower development process to a faster, more efficient one — practically overnight.
How Four Cognitive Biases Deceive Analysts and Destroy ActionabilityEric Garland
In this presentation for the Intelligence Collaborative, I explore cognitive bias - social, decision, probability, and memory - and its effect distortion clear thinking about strategy and decision making. This is part of of my executive training course "Executive Mind Traps.
BIG DATA MANAGEMENT - forget the hype, let's talk about the facts! Lisa Lang
This is a panel/workshop session developed for NEXT 2014 in Berlin.
Guests:
Lisa Lang (Twilio) Anke Domscheit-Berg (Opengov.me) Olga Steidl (Linko ) Ivan P. Yamshchikov (Yandex) Felienne Hermans (TU Delft)
----
Content:
Everyone is talking about Big Data – but what’s really behind it and how can you make data work for your business?
Collecting data is just one part of the puzzle. To source the right information, read it so it makes sense and -finally- how to execute on it is the most important task for successful big data management.
At this panel workshop we’ll listen to a lot of examples from big companies who’re dealing with massive amount of data on a daily basis. Each panel member will give a short demo and insight to their strategies and might revile some surprising facts.
This workshop is organised in cooperation with Berlin Geekettes.
Risk metric frameworks cover most of the elements that organizations deal with from an operational perspective. We have identified a gap in those, in which social media activities are not represented well (albeit being the highest growing attack vector). In this talk we’ll present a social media risk metric framework that allows organizations to measure and track both individuals as well as 3rd party entities risk to the organization.
The law and ethics of data-driven artificial intelligencePyData
By Aileen Nielsen
PyData New York City 2017
This talk is a completely non-technical discussion of how the law currently regulates artificial intelligence (if it does at all) and what is likely to change in the near future. The talk is geared towards technically-minded practitioners of data driven intelligence with the aim of increasing discussion of the social and ethical impact of data driven AI and how to code responsibly.
Global CISO Forum 2017: How To Measure Anything In Cybersecurity RiskEC-Council
Richard is a security executive with ~20 years experience ranging from start-ups to global organizations. He is currently the CISO/VP of Trust for Twilio and most recently the VP/GM Cybersecurity and Privacy for GE Healthcare. His background is in Information Security, Digital Risk Management and Product Development with an analytics bent. His current focus is developing quantitatively informed strategies, building agile teams that scale and making digital risk measurable. Likewise, he recently co-authored a decision analysis book called “How To Measure Anything In Cybersecurity Risk” (Wiley 2016) This book targets those looking to improve risk management strategies using predictive analytics.
Data Storytelling - Game changer for Analytics Gramener
50 Percent of Data Science Projects Fail at
Consumption: Can Storytelling Be Your Game
Changer
Growth of Self Service BI has generated a lot of
dashboards, but “lots” does not always mean “good” or
“useful”.
• While advances in AI/ML lead to deeper insights,
business teams struggle with the adoption of
algorithms and consumption
• How can data officers and analytics leaders
get better business ROI from their data science
investments?
• This session will show you how to unleash the
power of data storytelling for business decision-
making, using industry examples
Accelerated finance and tech leadershipTapp Commerce
We’re super excited being part of the accelerated agenda of intersection economies. Technology is the enabler, self-learning systems constantly enhance the lives of individuals and optimise merchant locations extending reach across suburbs, amplifying impact on cash society.
Tapp platform contributes to well-being of millions of consumers, narrows inequality and pushes cash economy to further impact the stability of emerging countries.
Please find a collection of technologies, AI, forecasting, game changer opportunities and conclusions of how the world stands. We’re pulling economies towards stability while providing people the opportunity to choose for themselves.
Algorithmic Fairness: A Brief IntroductionAnthonyMelson
A two-part guest lecture originally given at University of Missouri St. Louis. This brief introduction focuses on the origin and scope of recent research and debate in algorithmic fairness (a sub-set of AI Ethics) at a high level that does not require expertise in machine learning or programming.
The ultimate guide to data storytelling | MaterclassGramener
Gramener collaborated with Nasscom to conduct an online masterclass session on "Storytelling With Data." Gramener's CEO, S Anand, led the masterclass and shared some important slides on how to make data stories and how to drive storytelling.
The slides talk about the structure of data stories and how to find meaning full insights from data. There are real-time examples of data analysis and visualizations we created a Gramener to communicate insights as stories.
This is an ultimate guide on data storytelling that offers tips to create data stories, things to keep in mind while making storylines, and choosing designs to make a design-led data story.
Know more about Gramener's data storytelling workshop for analysts and data scientists at https://gramener.com/data-storytelling-workshop
Big Data Munich – Decision Automation and Big DataLars Trieloff
My presentation from Big Data Munich: How decision automation based on big data and machine learning can help you run a better business and avoid common cognitive biases.
Automated decision making with predictive applications – Big Data AmsterdamLars Trieloff
My slides from tonight's talk at Impact HUB in Amsterdam on big data, machine learning, cognitive biases and how to overcome them with predictive applications.
From theory to practice blending the math classroom and creating a data cultu...DreamBox Learning
Transitioning your school to a fully blended model that leverages data to inform school wide goals, drive classroom instruction, and form small groups takes time and buy-in. Whether you’re in the beginning stages of your blended journey, or are several years into it, it’s important to stay dynamic and reflective to ensure your blended initiative is having a positive impact on student success. Hear how Aldeane Comito Ries Elementary was able to take data beyond the classroom and continue to successfully incorporate it into their school’s infrastructure.
Join the staff at Aldeane Comito Ries Elementary to hear about how they:
• Received buy-in from their staff at all levels
• Specifically use data in their day-to-day
• Continue to transform classroom teaching and learning
How To Improve Profitability & Outperform Your Competition: the Guide to Data...A.J. Riedel
Find out how adopting data-driven decision-making can reduce your risk of making costly marketing and product mistakes and improve your product sell-through in this free E-Book.
Measuring Success introduces nonprofit professionals to proven techniques on how to move from anecdotal to data-driven decision making and steer your organization to success. Gain insights on how to focus your limited organizational time and energies on the issues that are supported by data instead of anecdotes. Learn techniques for using data to track and measure progress over time, report impact to stakeholders, and manage toward success.
Big Data, Data-Driven Decision Making and Statistics Towards Data-Informed Po...Prof. Dr. Diego Kuonen
Presentation given by Dr. Diego Kuonen, CStat PStat CSci, on October 20, 2015, at the Swiss Statistical Society's celebration of the `World Statistics Day 2015' in Olten, Switzerland.
Further information are available at https://worldstatisticsday.org/blog.html?c=CHE
The presentation is also available at http://www.statoo.com/BigDataDataScience/.
Data-Driven Business Model Innovation BlueprintMohamed Zaki
In this paper the authors present an integrated framework that could help stimulate an
organisation to become data-driven by enabling it to construct its own Data-Driven Business Model (DDBM) in coordination with the six fundamental questions for a data-driven business. There are a series of implications that may be particularly helpful to companies already leveraging ‘big data’ for their businesses or planning to do so. By utilising the blueprint an existing business is able to follow a step-by-step process to construct its own DDBM centred around the business’ own desired outcomes, organisation dynamics, resources, skills and the business sector within which it sits. Furthermore, an existing business can identify, within its own organisation, the most common inhibitors to constructing and implementing an effective DDBM and plan to mitigate these accordingly. Within the DDBM-Innovation Blueprint inhibitors are colour-coded and ranked from severe (red) to minor (green). This system of inhibitor ranking represents the frequency and severity of inhibitor, as perceived by 41 strategy and data-oriented elite interviewees.
In the age of information overload, having a social media measurement practice is the key to successful execution of your social strategy. In this session, Debra Askanase looked at what data points tell you that your community cares and is willing to take action, a methodology to figuring what data is relevant to your outcomes, where to find the metrics that matter, and why setting up the right metrics can make the difference between knowing that people visited a page on your website, and if your social media actions sent them there.
The Best & Worst Uses of AI in Software TestingEficode
Ingo Philipp
Distinguished Evangelist – Tricentis
Ingo Philipp champions the methodologies and technologies at the core of the company’s continuous testing solution. In his previous position as a senior product manager, he orchestrated product development and product marketing.
"Predictive Applications are going to steal your job", Lars Trieloff, Directo...Dataconomy Media
"Predictive Applications are going to steal your job: this is what you need to know", Lars Trieloff, Director Product Management at Blue Yonder
YouTube Link: https://www.youtube.com/watch?v=nzI8NKyv8O0
Watch more from Data Natives 2015 here: http://bit.ly/1OVkK2J
Visit the conference website to learn more: www.datanatives.io
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https://www.facebook.com/DataNatives
https://twitter.com/DataNativesConf
Stay Connected to Data Natives by Email: Subscribe to our newsletter to get the news first about Data Natives 2016: http://bit.ly/1WMJAqS
About the Author:
Lars Trieloff is the Director of Product Management at Blue Yonder Analytics. Before joining Blue Yonder, Lars Trieloff was responsible for product management at Adobe and Day Software. Lars has been a Apache Cocoon Committer and has worked as a developer at various organizations like SAP. Lars holds a MSc of Software Systems Engineering from Hasso Plattner Institute in Potsdam.
Protecting Your IP: Data Security for Software TechnologyShawn Tuma
Cybersecurity attorney Shawn Tuma presented on Protecting Your IP: Data Security for Software Technology at Texas Bar CLE's Intellectual Property Law 101 Course for 2017 on February 22, 2017 in Austin, Texas.
Keynote presentation delivered for the Ovum Analysts Business Process Management event in London, November 2012. Using case studies to demonstrate how emerging trends are connected and disrupting business as usual: social networks, mobile devices, big data and cloud computing. With gamification joining the party
Information Governance -- Necessary Evil or a Bridge to the Future?John Mancini
How the world is changing -- Old paradigms are being stretched to the breaking point
How we usually think about governance -- It’s not just about what you keep
How should we respond? -- Building an action plan for the next 2-3 years
In this deck I discuss why, and how data makes me tick. I've been doing work with data for decades but it's more exciting now than ever. Why do I get nerdy excitement from data? Because of my personal data, because data fuels change, because data is used for good. I'm immersed in data that has purpose on a daily basis.
Can you distinguish between data that has purpose and data that fuels vanity? Can you tell when data is for activation and when it's for reporting? Which data gets you promoted and which data gets you bogged down? A click bait teaser - you already know the answer...
You are the ultimate data wrangler. The polyglot master of python and R. You know all about the differences of linear versus logistic regression. You know when to use a dimensionality reduction algorithm and when to use a neural net. You have petabytes of data taking structural-form at your command, and you have the R-squared score to prove it!
But all of your data wrangling and number crunching won't matter if the decision makers ignore your data.
The tools to communicate the message in your data are simple, yet they can be a hard to learn. So, let’s talk about the five critical communication tools you need to master "The Art of Speaking Data."
It has been said that Mobiles +Cloud + Social + Big Data = Better Run The World. IBM has invested over $20 billion since 2005 to grow its analytics business, many companies will invest more than $120 billion by 2015 on analytics, hardware, software and services critical in almost every industry like ; Healthcare, media, sports, finance, government, etc.
It has been estimated that there is a shortage of 140,000 – 190,000 people with deep analytical skills to fill the demand of jobs in the U.S. by 2018.
Decoding the human genome originally took 10 years to process; now it can be achieved in one week with the power of Analytic and BI (Business Intelligence). This lecture’s Key Messages is that Analytics provide a competitive edge to individuals , companies and institutions and that Analytics and BI are often critical to the success of any organization.
Methodology used is to teach analytic techniques through real world examples and real data with this goal to convince audience of the Analytics Edge and power of BI, and inspire them to use analytics and BI in their career and their life.
Partner Alliance Webinar - Sales Tax | Fixed Assets Solutions - An OverviewNet at Work
You Will Learn:
• How you can benefit from selling these compliance products
• The pitfalls your customers should be looking out for
• The benefits to having solid compliance practices in house
• The ROI your customers can expect
Life after privacy addicted to convenience in a world filled with big data a...Chris Dancy
The interface has vanished. People and their behavior are now the standard for how developers and mega corporations create attention sucking services, apps, wearable devices and sensors.
How can we avoid the pitfalls of "Shamification" and move toward a world where we design ethically.
Coders and corporations should be mandated through government action to create technology that is healthy for the populations.
Time and Attention create a new definition for privacy.
New interface based on behavior
New experiences based on convenience
Paid for through loyalty, advertising to data
The fix a five step plan do dialog, design and develop code for a world where privacy no longer matters.
Thank you Shutterstock for the amazing images.
Speaker Slides: Bringing Agile Management to International DevelopmentMorgan Johnson
Speaker slides from the workshop Bringing Agile Management to International Development hosted by OnFrontiers in Washington DC, July 16, 2019 at the Eaton Hotel.
Anyone handling sensitive information in this day and age needs to to have a solid security setup and a plan for when something goes wrong. This webinar aims to get you looking at your security with fresh eyes and give you an outline of an action plan.
Putting the F in FaaS: Functional Compositional Patterns in a Serverless WorldLars Trieloff
Presented at #ServerlessConf 2017 in New York City. Don't go looking for serverless patterns in strange places, take existing functional programming patterns instead.
Digital marketing rapidly introduces new channels, concepts and context into marketing. This can lead to confusion and cognitive dissonance between traditional right-brain marketers and digital left-brain marketers. By going beyond the surface of what is visible in terms of vendors and products and concentrating on the fundamental building blocks of marketing, "The DNA of Marketing" offers a new look at marketing and a way to make sense of digital marketing innovation.
Combine Social Media with Social Communities in CQ5 to open additional channels for your marketing campaigns and increase targeting accuracy, maximize conversion and drive profitability.
A short look on Day's Advanced Collaboration for Communiqué 4 and an outlook what Social Collab for Communiqué 5 will offer. Held by Lars Trieloff at Day's Tech Summit 2008 in Basel.
Lars Trieloff's presentation "The Zero Bullshit Architecture" on how not to design your enterprise content centric application. (And tips on how to do it better)
Presentation held at Web Montag Stockholm, March 2008. Introduction of JCR, Sling and the µjax AJAX-based access layer to a content repository. The presentation includes the demo of the µjax Dojo integration.
µjax is a lightweight AJAX library for accessing content in a Java Content Repository (JCR) over the web. This presentation was given at Web Montag in Berlin, 01-21-2008.
Living in a multiligual world: Internationalization for Web 2.0 ApplicationsLars Trieloff
Lars Trieloff's presentation at Web 2.0 Expo Berlin covers the why and how-to of internationalization for web 2.0, consolidating i18n technology and enabling user-contributed translations.
buy old yahoo accounts buy yahoo accountsSusan Laney
As a business owner, I understand the importance of having a strong online presence and leveraging various digital platforms to reach and engage with your target audience. One often overlooked yet highly valuable asset in this regard is the humble Yahoo account. While many may perceive Yahoo as a relic of the past, the truth is that these accounts still hold immense potential for businesses of all sizes.
Discover the innovative and creative projects that highlight my journey throu...dylandmeas
Discover the innovative and creative projects that highlight my journey through Full Sail University. Below, you’ll find a collection of my work showcasing my skills and expertise in digital marketing, event planning, and media production.
Personal Brand Statement:
As an Army veteran dedicated to lifelong learning, I bring a disciplined, strategic mindset to my pursuits. I am constantly expanding my knowledge to innovate and lead effectively. My journey is driven by a commitment to excellence, and to make a meaningful impact in the world.
Building Your Employer Brand with Social MediaLuanWise
Presented at The Global HR Summit, 6th June 2024
In this keynote, Luan Wise will provide invaluable insights to elevate your employer brand on social media platforms including LinkedIn, Facebook, Instagram, X (formerly Twitter) and TikTok. You'll learn how compelling content can authentically showcase your company culture, values, and employee experiences to support your talent acquisition and retention objectives. Additionally, you'll understand the power of employee advocacy to amplify reach and engagement – helping to position your organization as an employer of choice in today's competitive talent landscape.
3.0 Project 2_ Developing My Brand Identity Kit.pptxtanyjahb
A personal brand exploration presentation summarizes an individual's unique qualities and goals, covering strengths, values, passions, and target audience. It helps individuals understand what makes them stand out, their desired image, and how they aim to achieve it.
At Techbox Square, in Singapore, we're not just creative web designers and developers, we're the driving force behind your brand identity. Contact us today.
In the Adani-Hindenburg case, what is SEBI investigating.pptxAdani case
Adani SEBI investigation revealed that the latter had sought information from five foreign jurisdictions concerning the holdings of the firm’s foreign portfolio investors (FPIs) in relation to the alleged violations of the MPS Regulations. Nevertheless, the economic interest of the twelve FPIs based in tax haven jurisdictions still needs to be determined. The Adani Group firms classed these FPIs as public shareholders. According to Hindenburg, FPIs were used to get around regulatory standards.
At Techbox Square, in Singapore, we're not just creative web designers and developers, we're the driving force behind your brand identity. Contact us today.
LA HUG - Video Testimonials with Chynna Morgan - June 2024Lital Barkan
Have you ever heard that user-generated content or video testimonials can take your brand to the next level? We will explore how you can effectively use video testimonials to leverage and boost your sales, content strategy, and increase your CRM data.🤯
We will dig deeper into:
1. How to capture video testimonials that convert from your audience 🎥
2. How to leverage your testimonials to boost your sales 💲
3. How you can capture more CRM data to understand your audience better through video testimonials. 📊
FIA officials brutally tortured innocent and snatched 200 Bitcoins of worth 4...jamalseoexpert1978
Farman Ayaz Khattak and Ehtesham Matloob are government officials in CTW Counter terrorism wing Islamabad, in Federal Investigation Agency FIA Headquarters. CTW and FIA kidnapped crypto currency owner from Islamabad and snatched 200 Bitcoins those worth of 4 billion rupees in Pakistan currency. There is not Cryptocurrency Regulations in Pakistan & CTW is official dacoit and stealing digital assets from the innocent crypto holders and making fake cases of terrorism to keep them silent.
Navigating the world of forex trading can be challenging, especially for beginners. To help you make an informed decision, we have comprehensively compared the best forex brokers in India for 2024. This article, reviewed by Top Forex Brokers Review, will cover featured award winners, the best forex brokers, featured offers, the best copy trading platforms, the best forex brokers for beginners, the best MetaTrader brokers, and recently updated reviews. We will focus on FP Markets, Black Bull, EightCap, IC Markets, and Octa.
7. — Holger Kisker, Forrester Research
“Even after more than 20 years of
using BI, they still base nearly 45%
of business decisions on
qualitative decision factors
instead of quantitative, fact-based
evidence.“
8. If data is not used for decision
making, what is used then?
31. • Drill-down analysis … misunderstood or
distorted
• Metrics dashboards … contradictory and
confusing
• Monthly reports … ignored after two
iterations
• In-house analyst teams … overworked
and powerless
How Data-Driven Decisions
REALLY work
CO M M U N I C AT I O N
B R E A K D O W N
42. • Business rules are like programs – written by
non-programmers
• Business rules can be contradictory,
incomplete, and complex beyond
comprehension
• Business rules have no built-in feedback
mechanism:“It is the rule, because it is the rule”
Business rules are Programs,
just not very good ones.
43. — Mark Twain
“It ain’t what we don’t know
that causes trouble, it’s what we
know for sure that just ain’t so”
56. — Daniel Kahneman
“All of us would be better
investors if we just made fewer
decisions.”
57.
58. How we are making decisions
(Like the big apes we are)
Anchoring effect
IKEA effect
Confirmation bias
Bandwagon effect
Substitution
Availability heuristic
Texas Sharpshooter Fallacy
Rhyme as reason effect
Over-justification effect
Zero-risk bias
Framing effect
Illusory correlation
Sunk cost fallacy
Overconfidence
Outcome bias
Inattentional Blindness
Benjamin Franklin effect
Hindsight bias
Gambler’s fallacy
Anecdotal evidence
Negativity bias
Loss aversion
Backfire effect
59.
60.
61. • Abraham Lincoln and John F. Kennedy were both
presidents of the United States, elected 100 years
apart.
• Both were shot and killed by assassins who were
known by three names with 15 letters, John Wilkes
Booth and Lee Harvey Oswald, and neither killer
would make it to trial.
• Lincoln had a secretary named Kennedy, and
Kennedy had a secretary named Lincoln.
• They were both killed on a Friday while sitting
next to their wives, Lincoln in the Ford Theater,
Kennedy in a Lincoln made by Ford.
62. • Abraham Lincoln and John F. Kennedy were both
presidents of the United States, elected 100 years
apart.
• Both were shot and killed by assassins who were
known by three names with 15 letters, John Wilkes
Booth and Lee Harvey Oswald, and neither killer
would make it to trial.
• Lincoln had a secretary named Kennedy, and
Kennedy had a secretary named Lincoln.
• They were both killed on a Friday while sitting
next to their wives, Lincoln in the Ford Theater,
Kennedy in a Lincoln made by Ford.
63. K-Means Clustering
Naive Bayes
Support Vector Machines
Affinity Propagation
Least Angle Regression
Nearest Neighbors
Decision Trees
Markov Chain Monte Carlo
Spectral clustering
Restricted Bolzmann Machines
Logistic Regression
Computers making decisions
(cold, fast, cheap, rational)
64. • A machine learning algorithm is a system that
derives a set of rules based on a set of data
• It is based on systematic observation, double-
checking and cross-validation
• There is no magic, just data – and without data
there is no magic either
Machine Learning means
Programs that write Programs
88. If you ordered 8,5 cases, you
would waste a lot of meat,
the ideal order amount is 8
cases.
89. Predictive Apps in a Nutshell
Batch and streaming data ingestion, batch
and streaming delivery (with real-time option)
Reduce risk and cost » increase revenue and profit
Trend Estimation Classification Event Prediction
Optimize Returns
Collect Data Predict Results Drive Decisions
90. — John Maynard Keynes
“When my information
changes, I alter my conclusions.
What do you do, sir?”
91. One Common Platform for
Predictive Applications
Multi-Tenant Runtime Environment
Link Store Build Run View
Link your own and
third-party data, easily
integrated via API
Store your data in
high-performance
database as a service
Build machine
learning and
application code
Automatically run
and scale ML models
and applications
Monitor and inspect
resource usage and
model quality
Secure Micro Cloud Infrastructure
Domain Model Predictive Model Application Code
92. — Kevin Kelly
“The business plans of the next
10,000 startups are easy to
forecast: Take X and add AI”
93. How Enterprises adopt
Predictive Applications
Learn about
ADDD
Define Target
Process
Build
Predictive App
Go Live
Make Lots of
Money
95. How Enterprises REALLY adopt
Predictive Applications
Learn about
ADDD
Define Target
Process
Build
Predictive App
Make Lots of
Money
D O U BT S
CO N C E R N S
O B J E C T I O N S