Lightning talk delivered to EDW14 on Data Privacy as an outcome to be achieved through effective data management. Proposed concept of "Value Proposition" as originally defined to be applied to Privacy, with Data Governance and other disciplines being part of the "Value Delivery System" to achieve balanced Key Resulting Experiences.
BI congres 2014-3: facts not opinions - Tobias Temmink - TeradataBICC Thomas More
7de BI congres van het BICC-Thomas More: 3 april 2014
Geen meningen maar Feiten!
Big Data heeft de wereld van BI en Analytics veranderd. Of toch niet? Wat is nog altijd hetzelfde en wat is er veranderd? Wat is er vandaag voor nodig om een volledig data gedreven organisatie te worden? Ik zal laten zien hoe bedrijven als Netflix, Full Tilt Poker, en Wells Fargo nieuwe en bestaande technologien gebruiken om hun bedrijven te draaien en te verbeteren.
Lightning talk delivered to EDW14 on Data Privacy as an outcome to be achieved through effective data management. Proposed concept of "Value Proposition" as originally defined to be applied to Privacy, with Data Governance and other disciplines being part of the "Value Delivery System" to achieve balanced Key Resulting Experiences.
BI congres 2014-3: facts not opinions - Tobias Temmink - TeradataBICC Thomas More
7de BI congres van het BICC-Thomas More: 3 april 2014
Geen meningen maar Feiten!
Big Data heeft de wereld van BI en Analytics veranderd. Of toch niet? Wat is nog altijd hetzelfde en wat is er veranderd? Wat is er vandaag voor nodig om een volledig data gedreven organisatie te worden? Ik zal laten zien hoe bedrijven als Netflix, Full Tilt Poker, en Wells Fargo nieuwe en bestaande technologien gebruiken om hun bedrijven te draaien en te verbeteren.
How to Ruin your Business with Data Science & Machine Learning by Ingo MierswaData Con LA
Abstract:- Everyone talks about how machine learning will transform business forever and generate massive outcomes. However, it's surprisingly simple to draw completely wrong conclusions from statistical models, and correlation does not imply causation is just the tip of the iceberg. The trend of the democratization of data science further increases the risk for applying models in a wrong way. This session will discuss. How highly-correlated features can overshadow the patterns your machine learning model is supposed to find this leads to models which will perform worse in production than during model building. How incorrect cross-validation lead to over-optimistic estimations of your model accuracy, especially we will discuss the impact of data preprocessing on the accuracy of machine learning models. How feature engineering can lift simple models like linear regression to the accuracy of deep learning but comes with the advantages of understandability & robustness.
Taken from the Future of Web Design, San Francisco 2015 Conference. https://futureofwebdesign.com/san-francisco-2015/
Site analytics. The quantified self. Big data. Human activity is creating more and more measurable data. But is more data really helping designers make better decisions? Human problems often require illogical approaches. In order to meet real human needs, we need to approach the data we collect with empathy and find the story in the facts.
To view recording of this webinar please use the below URL:
http://wso2.com/library/webinars/2016/08/analytics-as-your-business-edge/
Data is the new oil! For most enterprises, data is the oil you’ve been sitting on without realizing its value. You can gain many useful insights from data that lead to new and better products and operations, enables new user experiences, allows better understanding of customers, makes interactions seamless and enables new pay per use business models and dynamic pricing models. Furthermore, data itself can be monetized. Enterprises can broker interactions between end users as done in digital advertising or sell insights to third parties in anonymized forms. Just like in Google and Facebook, data can be a primary asset that organizations collect as part of their operations.
Big Data: The Force That’s Good for Consumers and SocietyExperian_US
Craig Boundy, CEO of Experian North America, discusses how big data is being used as a force for good. Good for consumers, good for business, and good for society. He shares his perspective how Experian’s work in data and analytics has real-life applications.
Big Plans for Big Data in the Public Sector InfographicSAP Analytics
Big Data and analytics are held in high regard by agencies worldwide, but implementing government programs remains challenging. The difference between what agencies hope to achieve with big data and how they grade their performance today is striking.
Staying on the Right Side of the Fence when Analyzing Human DataMolly O'Shea
Data is all around us and comes from many different sources. This data is generated by human behavior and it’s growing at an astonishing rate. Companies are collecting this data and using it in ways they could have never imagined.
This brings a sense of unease among people that their intimate information is no longer their own. Yet this data is central to companies ability to better serve customers, but it is necessary that companies find the balance and honor customers privacy. How can we strike the balance?
Join this webinar and you will learn:
About the current and future challenges in this data-rich world
How to be a good guy, and still achieve your business objectives while analyzing Human Data
About PYLON for Facebook Topic Data and how you can build insights from Facebook while protecting user privacy
Vol 1 of the training video gives an overview of:
What is Big Data?
Why, where & when of Big Data
Differentials of Big Data
Potential of Big Data application
Risks involved in executing Big Data projects
Future of Big Data
Internet of Things ... Internet of what? There is not such a thing like a free lunch, so who pays for big IoT benefits? Are our privacy and security jeopardized more than ever?
How to Ruin your Business with Data Science & Machine Learning by Ingo MierswaData Con LA
Abstract:- Everyone talks about how machine learning will transform business forever and generate massive outcomes. However, it's surprisingly simple to draw completely wrong conclusions from statistical models, and correlation does not imply causation is just the tip of the iceberg. The trend of the democratization of data science further increases the risk for applying models in a wrong way. This session will discuss. How highly-correlated features can overshadow the patterns your machine learning model is supposed to find this leads to models which will perform worse in production than during model building. How incorrect cross-validation lead to over-optimistic estimations of your model accuracy, especially we will discuss the impact of data preprocessing on the accuracy of machine learning models. How feature engineering can lift simple models like linear regression to the accuracy of deep learning but comes with the advantages of understandability & robustness.
Taken from the Future of Web Design, San Francisco 2015 Conference. https://futureofwebdesign.com/san-francisco-2015/
Site analytics. The quantified self. Big data. Human activity is creating more and more measurable data. But is more data really helping designers make better decisions? Human problems often require illogical approaches. In order to meet real human needs, we need to approach the data we collect with empathy and find the story in the facts.
To view recording of this webinar please use the below URL:
http://wso2.com/library/webinars/2016/08/analytics-as-your-business-edge/
Data is the new oil! For most enterprises, data is the oil you’ve been sitting on without realizing its value. You can gain many useful insights from data that lead to new and better products and operations, enables new user experiences, allows better understanding of customers, makes interactions seamless and enables new pay per use business models and dynamic pricing models. Furthermore, data itself can be monetized. Enterprises can broker interactions between end users as done in digital advertising or sell insights to third parties in anonymized forms. Just like in Google and Facebook, data can be a primary asset that organizations collect as part of their operations.
Big Data: The Force That’s Good for Consumers and SocietyExperian_US
Craig Boundy, CEO of Experian North America, discusses how big data is being used as a force for good. Good for consumers, good for business, and good for society. He shares his perspective how Experian’s work in data and analytics has real-life applications.
Big Plans for Big Data in the Public Sector InfographicSAP Analytics
Big Data and analytics are held in high regard by agencies worldwide, but implementing government programs remains challenging. The difference between what agencies hope to achieve with big data and how they grade their performance today is striking.
Staying on the Right Side of the Fence when Analyzing Human DataMolly O'Shea
Data is all around us and comes from many different sources. This data is generated by human behavior and it’s growing at an astonishing rate. Companies are collecting this data and using it in ways they could have never imagined.
This brings a sense of unease among people that their intimate information is no longer their own. Yet this data is central to companies ability to better serve customers, but it is necessary that companies find the balance and honor customers privacy. How can we strike the balance?
Join this webinar and you will learn:
About the current and future challenges in this data-rich world
How to be a good guy, and still achieve your business objectives while analyzing Human Data
About PYLON for Facebook Topic Data and how you can build insights from Facebook while protecting user privacy
Vol 1 of the training video gives an overview of:
What is Big Data?
Why, where & when of Big Data
Differentials of Big Data
Potential of Big Data application
Risks involved in executing Big Data projects
Future of Big Data
Internet of Things ... Internet of what? There is not such a thing like a free lunch, so who pays for big IoT benefits? Are our privacy and security jeopardized more than ever?
La privacy è sempre meno una preoccupazione individuale, essendo le persone disposte a cederne una parte in cambio di servizi di comunicazione efficienti.
Ma non è detto che questa tendenza sarà confermata dalla prossima invasione in rete di oggetti fisici integrati per comunicare con l'ambiente esterno. La strada è quella di evitare la creazione di monopoli digitali de-facto, evitando che la formula del futuro venga scritta soltanto dai big players del Web.
Security and Network Protection are difficult challenges for Industrial Internet and for Industrial Internet Of Things (IIOT).
Industrial Cyber Security (ICS Industrial Control System Security) is a topic discussed at this year IMA World Maintenance Forum 2016 in Lugano (Switzerland). In this paper we presented how to address and protect a plant control system and network.
How Java Software Re-shapes Embedded.
Good Reasons for IoT Solutions
IoT Challenges and Perceived Barriers
Legacy & Existing M2M Systems
Major Industry trends lead to M2M 2.0 and a Commodization of Distributed Systems
Predictive Analytics and the Industrial Internet of Manufacturing Things with...gogo6
Download our special report, IoT Tech for the Manager: http://bit.ly/report1-slideshare
Predictive Analytics and the Industrial Internet of Manufacturing Things as presented at the IoT Inc Business' eighteenth Meetup. See: http://www.iot-inc.com/predictive-analytics-and-the-industrial-internet-of-manufacturing-things-meetup/
In our eighteenth Meetup we have William Sobel, Chief Strategy Officer at System Insights and Chief Architect/Chair TSC at MTConnect Institute presenting “Predictive Analytics and the Industrial Internet of Manufacturing Things”.
Presentation Abstract
The Industrial Internet of Things has been hyped to take manufacturing into a new era; the German Industrie 4.0 initiative, NNMI in the US and 2025 goals in China are all aligned on the target of agile and smart manufacturing. Our current manufacturing systems have not changed much in the last 20 years and we are still using paper and pencil in many of our processes. There are many advanced technologies we can bring to bear today to help us along that path, but we still need to build the foundations to enable these advancements. Manufacturing requires special consideration for an IIOT system; an approach that does not take into consideration the context of the manufacturing process will not be able to transform the data from the equipment and sensors into actionable information. The solution is to build a standards based interoperable platform that allows services to fuse semantic data from multiple sources to provide the foundation for accelerated innovation in smart manufacturing. Will Sobel will discuss how this is a model for the new product and services to come and how this will enable outcome and intent based self-aware manufacturing systems.
Industry 4.0 and Internet of Things (IoT)- The Emerging Marketing TrendsSuyati Technologies
Internet technology is often counted as the third industrial revolution that has ushered in epic changes to the world of business. And today, we are welcoming what is named as the fourth industrial revolution – the convergence of physical things with the world of the internet- named as the Internet of Things. INDUSTRIAL INTERNET OF THINGS (IIoT) is renowned as the PRIMARY way to improve operational efficiency in manufacturing domain. By 2030, $15 trillion of global GDP will come from Industrial IoT, and in another 15 years, IIoT will add $14.2 trillion to global economy. Industry 4.0 promises new business models that disrupt existing ecosystems.
View our infographic to understand the emerging marketing trends created by Industry 4.0 and IoT: http://suyati.com/industry-4-0-and-iot/
Il Privacy Officer, professionista con competenze giuridiche o informatiche?festival ICT 2016
Il nuovo regolamento europeo sulla protezione dei dati, che sostituirà il nostro attuale Codice Privacy, obbligherà tutte le 20.000 pubbliche amministrazioni e altre migliaia di imprese italiane a dotarsi di un privacy officer. In altri 15 Paesi europei, questa figura è già prevista per legge, mentre negli USA esiste dagli anni ’90, ma in Italia è ancora poco conosciuta, anche se é destinata a vedere un rapido exploit anche da noi. Quali competenze dovrà possedere il privacy officer? Basterà conoscere bene tutta la normativa che regola la protezione dei dati, con gli avvocati favoriti ad assumere questo ruolo pagato profumatamente all’estero? Oppure, basterà conoscere tutte i metodi e le tecniche più avanzate per assicurare una protezione efficace ai dati dell’azienda? e se la risposta esaustiva non fosse né una, nè l’altra? E quali sono i rischi civili penali e civili che corrono le imprese che, volendo risparmiare, già al presente evitano di avvalersi di un privacy officer perchè lo considerano un costo superfluo?
My presentation in Week of Robotics, Helsinki, Finland on November 28th, 2014. My purpose was to initiate discussion about the possibilities and risks of using Big Data in combination with robotics, especially from ethical perspective. My main reference was Davis & Patterson (2012): Ethics of Big Data which I recommend as further reading.
Minne analytics presentation 2018 12 03 final compressedBonnie Holub
Monday was another great conference by MinneAnalytics! #MinneFRAMA was a great success with over 1,100 attendees at Science Museum of Minnesota. Alison Rempel Brown is a great host! A Teradata colleague told me that her post about my presentation "blew up" with hits and she got over 2K views, and 60+ likes. I'm proud to be a part of this great #datascience organization brining #machinelearning and #artificialintelligence #analytics to our #bigdata clients. If you want my slides, here they are.
Say Good-Bye to Zero-Sum: Say Hello to Privacy and Marketing, by Designbradley_g
A presentation by Commissioner Cavoukian to the Canadian Institute Advertising and Marketing Law Conference on how Privacy by Design can give a sustainable competitive advantage in advertising and marketing.
The dawn of the Post-Cookie Era: Thoughts on the Future of Web AnalyticsIbrahim Elawadi
Are we witnessing the end of the Golden Age of Web Analytics? Is attribution dead?
Let’s take a step back to see how we got to this point, investigate its consequences than discuss some solutions.
Written recap:
https://himtox.medium.com/the-dawn-of-the-post-cookie-era-thoughts-on-the-future-of-web-analytics-2a20040eecbd
Eureka Analytics Seminar Series - Product Management for Data Science ProductsEureka Analytics Pte Ltd
Data Science is increasingly being used to build new products in every industry, from Internet companies to physical businesses, and from large enterprise systems to consumer products that we carry in our pockets. The ability to understand the Data Science process is an increasingly important skill for Software Product Managers. What are some of the unique challenges when building a Data Science product? How do we build products that scale if there is an element of experimentation and research? In this seminar, you will learn what it takes to manage a Data Science product, and hear practical tips and examples from our experience at Eureka Analytics. This seminar is brought to you by Eureka Analytics
What should organizations be concerned about when using Machine Learning for Predictive Modeling techniques? Divergence Academy and Divergence.AI are leading efforts to bring Algorithmic Accountability awareness to masses.
Alternative Data is everywhere. We MUST start using them as a competitive edge over the competitors who are all looking to only their traditional data sources
Big Data: The Road to Know More About Your BusinessOAUGNJ
Does your organization have a Big Data strategy or have you started your Big Data journey? Surveys are showing that Big Data has not been implemented in the majority of companies. The difficulty is that the amount of data the world is producing outstrips most companies’ ability to use it. This session will review the need for a big data strategy, how to get started and the critical success factors to ensure you are on the Big Data Road to Success. Companies are creating huge business value by capturing more data (particularly unstructured data) from social media, sensors and mobile devices. Learn how these companies got started and what they are doing to transform their business.
D2 d turning information into a competive asset - 23 jan 2014Henk van Roekel
Understanding the evolution of Business Intelligence and Analytics and the challenges and opportunities that come with it. Exploring CGI's Data2Diamonds™ approach ensuring financial sound, technical viable and socially desirable Big Data initiatives.
The Data Driven Enterprise - Roadmap to Big Data & Analytics SuccessBigInsights
The Data Driven Enterprise - Roadmap to Big Data & Analytics Success
Presentation used at the series of Breakfast seminar around Australia hosted by Lenovo/Intel/SAP/EY
AI Foundations Course Module 1 - An AI Transformation JourneySri Ambati
The chances of successfully implementing AI strategies within an organization significantly improve when you can recognize where your organization is on the maturity scale. Over this course, you will learn the keys to unlocking value with AI which include asking the right questions about the problems you are solving and ensuring you have the right cross-section of talent, tools, and resources. By the end of this module, you should be able to recognize where your organization is on the AI transformation spectrum and identify some strategies that can get you to the next stage in your journey.
To find additional videos on AI courses, earn badges, join the courses at H2O.ai Learning Center: https://training.h2o.ai/products/ai-foundations-course
To find the Youtube video about this presentation: https://youtu.be/PJgr2epM6qs
Speakers:
Chemere Davis (H2O.ai - Senior Data Scientist Training Specialist)
Ingrid Burton (H2O.ai - CMO)
2015 Strategy Execution Summit Presentation: Susan Hill & Walter Mitton from the Centers ffor Medicare and Medicaid Services (CMS): Strategy Implementation in a Large Public Organization
The Team Member and Guest Experience - Lead and Take Care of your restaurant team. They are the people closest to and delivering Hospitality to your paying Guests!
Make the call, and we can assist you.
408-784-7371
Foodservice Consulting + Design
Artificial intelligence (AI) offers new opportunities to radically reinvent the way we do business. This study explores how CEOs and top decision makers around the world are responding to the transformative potential of AI.
Comparing Stability and Sustainability in Agile SystemsRob Healy
Copy of the presentation given at XP2024 based on a research paper.
In this paper we explain wat overwork is and the physical and mental health risks associated with it.
We then explore how overwork relates to system stability and inventory.
Finally there is a call to action for Team Leads / Scrum Masters / Managers to measure and monitor excess work for individual teams.
The case study discusses the potential of drone delivery and the challenges that need to be addressed before it becomes widespread.
Key takeaways:
Drone delivery is in its early stages: Amazon's trial in the UK demonstrates the potential for faster deliveries, but it's still limited by regulations and technology.
Regulations are a major hurdle: Safety concerns around drone collisions with airplanes and people have led to restrictions on flight height and location.
Other challenges exist: Who will use drone delivery the most? Is it cost-effective compared to traditional delivery trucks?
Discussion questions:
Managerial challenges: Integrating drones requires planning for new infrastructure, training staff, and navigating regulations. There are also marketing and recruitment considerations specific to this technology.
External forces vary by country: Regulations, consumer acceptance, and infrastructure all differ between countries.
Demographics matter: Younger generations might be more receptive to drone delivery, while older populations might have concerns.
Stakeholders for Amazon: Customers, regulators, aviation authorities, and competitors are all stakeholders. Regulators likely hold the greatest influence as they determine the feasibility of drone delivery.
Senior Project and Engineering Leader Jim Smith.pdfJim Smith
I am a Project and Engineering Leader with extensive experience as a Business Operations Leader, Technical Project Manager, Engineering Manager and Operations Experience for Domestic and International companies such as Electrolux, Carrier, and Deutz. I have developed new products using Stage Gate development/MS Project/JIRA, for the pro-duction of Medical Equipment, Large Commercial Refrigeration Systems, Appliances, HVAC, and Diesel engines.
My experience includes:
Managed customized engineered refrigeration system projects with high voltage power panels from quote to ship, coordinating actions between electrical engineering, mechanical design and application engineering, purchasing, production, test, quality assurance and field installation. Managed projects $25k to $1M per project; 4-8 per month. (Hussmann refrigeration)
Successfully developed the $15-20M yearly corporate capital strategy for manufacturing, with the Executive Team and key stakeholders. Created project scope and specifications, business case, ROI, managed project plans with key personnel for nine consumer product manufacturing and distribution sites; to support the company’s strategic sales plan.
Over 15 years of experience managing and developing cost improvement projects with key Stakeholders, site Manufacturing Engineers, Mechanical Engineers, Maintenance, and facility support personnel to optimize pro-duction operations, safety, EHS, and new product development. (BioLab, Deutz, Caire)
Experience working as a Technical Manager developing new products with chemical engineers and packaging engineers to enhance and reduce the cost of retail products. I have led the activities of multiple engineering groups with diverse backgrounds.
Great experience managing the product development of products which utilize complex electrical controls, high voltage power panels, product testing, and commissioning.
Created project scope, business case, ROI for multiple capital projects to support electrotechnical assembly and CPG goods. Identified project cost, risk, success criteria, and performed equipment qualifications. (Carrier, Electrolux, Biolab, Price, Hussmann)
Created detailed projects plans using MS Project, Gant charts in excel, and updated new product development in Jira for stakeholders and project team members including critical path.
Great knowledge of ISO9001, NFPA, OSHA regulations.
User level knowledge of MRP/SAP, MS Project, Powerpoint, Visio, Mastercontrol, JIRA, Power BI and Tableau.
I appreciate your consideration, and look forward to discussing this role with you, and how I can lead your company’s growth and profitability. I can be contacted via LinkedIn via phone or E Mail.
Jim Smith
678-993-7195
jimsmith30024@gmail.com
Public Speaking Tips to Help You Be A Strong Leader.pdfPinta Partners
In the realm of effective leadership, a multitude of skills come into play, but one stands out as both crucial and challenging: public speaking.
Public speaking transcends mere eloquence; it serves as the medium through which leaders articulate their vision, inspire action, and foster engagement. For leaders, refining public speaking skills is essential, elevating their ability to influence, persuade, and lead with resolute conviction. Here are some key tips to consider: https://joellandau.com/the-public-speaking-tips-to-help-you-be-a-stronger-leader/
Specific ServPoints should be tailored for restaurants in all food service segments. Your ServPoints should be the centerpiece of brand delivery training (guest service) and align with your brand position and marketing initiatives, especially in high-labor-cost conditions.
408-784-7371
Foodservice Consulting + Design
6. • Yahoo ad unit delivery script
• Google ad delivery script
• Flash movie
• ??? (not easy to track Flash traffic)
• Nielsen NetRatings tracking script
• AdSafe pixel
• Facebook iframe
• Facebook tracking
• ??? (did not analyze)
• DoubleVerify script
• Tracking script (like a pixel)
• Yahoo impression tracker
• Tracking pixel
• Yahoo impression opportunity tracker
• Tracking pixel
Conclusion: 13 separate HTTP requests to 6 separate companies, not counting
redirects and cacheable scripts.
Simeon Simeonv, Anatomy of an Online Ad, High Contrast, April
17, 2013
Anatomy of an Online Ad
29. Who decides?
“Consumer Subject Review Boards”
Big Data “Algorithmists”
Privacy Professionals
Regulators and Legislators
30. Key ConsiderationsStrategies for Striking the Right Balance
• From “Kodakers” to cookies: New technologies bring new fears
• But it’s not personal!
• No Harm, No Foul is no longer the best defense
• Don’t be Creepy
• Dignity and Privacy as a Human Right
• What They Know
• Sunlight is the best disinfectant: The transparency cure
• Privacy by Design
31. In Conclusion
• Balancing privacy with value is critical
to maintaining consumer trust
• Put privacy at the core of innovation agenda
• Anticipate potential user concerns and proactively address
them with transparency and control
• Privacy norms and user expectations of privacy are changing
• Privacy communication can make or break your relationship
with clients
Is big data bad data that purports to be used for such good that it can stress privacy constraints?
Notice – individuals should be provided with timely notice of how their data will be collected, used, and disclosed
Choice – individuals should be given choices about whether and how their data will be used
Purpose Specification – the purposes for which personal data are collected should be specified prior to or at the time of collection;
Use Limitation – personal data should only be used for those purposes specified prior to or at the time of collection;
Data Minimization – organizations should seek to limit the amount of personal data they collect and that might be retained.