TEDx Manchester: AI & The Future of WorkVolker Hirsch
TEDx Manchester talk on artificial intelligence (AI) and how the ascent of AI and robotics impacts our future work environments.
The video of the talk is now also available here: https://youtu.be/dRw4d2Si8LA
Business Intelligence & Data Analytics– An Architected ApproachDATAVERSITY
Business intelligence (BI) and data analytics are increasing in popularity as more organizations are looking to become more data-driven. Many tools have powerful visualization techniques that can create dynamic displays of critical information. To ensure that the data displayed on these visualizations is accurate and timely, a strong Data Architecture is needed. Join this webinar to understand how to create a robust Data Architecture for BI and data analytics that takes both business and technology needs into consideration.
Business today is starting to understand the value of data, and some organisations are outperforming their competition by putting data at the heart of their thinking. Leveraging data to change business models, understand their customers and employees better and deliver new revenue streams is the driving force in this new data centric era.
Jon Woodward - MSFT
Dave Coplin - MSFT
Mike Bugembe - JustGiving
Gary Richardson - KPMG
TEDx Manchester: AI & The Future of WorkVolker Hirsch
TEDx Manchester talk on artificial intelligence (AI) and how the ascent of AI and robotics impacts our future work environments.
The video of the talk is now also available here: https://youtu.be/dRw4d2Si8LA
Business Intelligence & Data Analytics– An Architected ApproachDATAVERSITY
Business intelligence (BI) and data analytics are increasing in popularity as more organizations are looking to become more data-driven. Many tools have powerful visualization techniques that can create dynamic displays of critical information. To ensure that the data displayed on these visualizations is accurate and timely, a strong Data Architecture is needed. Join this webinar to understand how to create a robust Data Architecture for BI and data analytics that takes both business and technology needs into consideration.
Business today is starting to understand the value of data, and some organisations are outperforming their competition by putting data at the heart of their thinking. Leveraging data to change business models, understand their customers and employees better and deliver new revenue streams is the driving force in this new data centric era.
Jon Woodward - MSFT
Dave Coplin - MSFT
Mike Bugembe - JustGiving
Gary Richardson - KPMG
Top 5 Deep Learning and AI Stories - October 6, 2017NVIDIA
Read this week's top 5 news updates in deep learning and AI: Gartner predicts top 10 strategic technology trends for 2018; Oracle adds GPU Accelerated Computing to Oracle Cloud Infrastructure; chemistry and physics Nobel Prizes are awarded to teams supported by GPUs; MIT uses deep learning to help guide decisions in ICU; and portfolio management firms are using AI to seek alpha.
Explore how different industries are embracing the utility of AI to create and deliver new value for their customers and organisation
* Discuss the state of maturity of AI across industries
* Get an appreciation of business posture to AI projects
We also review the utility of AI across several industries including:
* Healthcare
* Newsroom & Journalism
* Travel
* Finance
* Supply Chain / eCommerce / Retail
* Streaming & Gaming
* Transportation
* Logistics
* Manufacturing
* Agriculture
* Defense & Cybersecurity
Part of the What Matters in AI series as published on www.andremuscat.com
Analytics, Business Intelligence, and Data Science - What's the Progression?DATAVERSITY
Data analysis can include looking back at historical data, understanding what an organization currently has, and even looking forward to predictions of the future. This presentation will talk about the differences between analytics, business intelligence, and data science, as well as the differences in architecture — and possibly even organization maturity — that make each successful.
Learn more about these topics we will explore including:
Defining analytics, business intelligence, and data science
Differences in architecture
When to use analytics, business intelligence, or data science
Whether there has been an evolution between analytics, business intelligence, and data science
Big Data & Analytics (Conceptual and Practical Introduction)Yaman Hajja, Ph.D.
A 3-day interactive workshop for startups involve in Big Data & Analytics in Asia. Introduction to Big Data & Analytics concepts, and case studies in R Programming, Excel, Web APIs, and many more.
DOI: 10.13140/RG.2.2.10638.36162
Tips for the Food sector: To keep up with this constantly shifting consumer behavior, look for early signs by using Google Trends to see how demand for certain food products or delivery services is changing to meet people’s needs.
Tips for Travel marketers: Our APAC travel recovery itinerary revealed that people have local trips and safety in mind, so marketers should seek to provide safety information upfront and present local product offerings and fun activities.
Tips for keeping people entertained: Though some people who signed up for a new entertainment source might stay, there’s also a higher likelihood of churn when their trial period ends. If you saw an increase in people signing up for your online products and services, focus on retention to keep them coming back, especially if you offered a free trial during the pandemic.
Tips for merchants: Make sure you integrate digital payment options for your consumers. Digital payments are expected to see a continued boost post-COVID-19, and trust in e-Wallets will likely increase.
Although there is still some instability, the internet sector in SEA is set to emerge stronger than ever in a post-COVID-19 world. The digital economy remains a bright spot in a very challenging economic environment, and e-Commerce remains a key driver of growth. The biggest takeaway for brands and marketers is the need to focus on people and their changing habits online, as well as keeping up with changing trends, as we continue to understand what our new normal will look like in the future.
As NFT projects continue to pop up and censorship woes become a reality, decentralized storage has become a beacon of hope for many. Let’s check out how much the decentralized storage sector has grown!
The tipping point for electrified vehicles is in sight, and a combination of hybrid and fully electric powertrains is expected to cut the global market share of pure internal combustion engines (ICEs) by about 50% by 2030.
Data Driven Advanced Analytics using Denodo Platform on AWSDenodo
Watch full webinar here: https://buff.ly/3JC8gCS
Accelerating cloud adoption and modernizing analytics in the cloud has become a necessity to facilitate timely, insightful, and impactful decision making. However, with the widespread data in an organization across disparate hybrid cloud data sources poses a challenge with real time and well governed analytics. Data Virtualization is a modern data integration technique in which a single semantic layer can be built to help drive data democratization and speed up the analytics in an efficient and cost-effective manner.
Watch this session to learn:
- How various AWS services (Redshift, S3, RDS) can be quickly integrated using Denodo Platform’s logical data management by implementing a logical data fabric (LDF)
- How LDF helps you manage and deliver your data for data science and analytics programs, supporting your business users.
- How governed Data Services layer enables self-service analytics in your complex AWS data landscape
Big Data may well be the Next Big Thing in the IT world. The first organizations to embrace it were online and startup firms. Firms like Google, eBay, LinkedIn, and Facebook were built around big data from the beginning.
Two hour lecture I gave at the Jyväskylä Summer School. The purpose of the talk is to give a quick non-technical overview of concepts and methodologies in data science. Topics include a wide overview of both pattern mining and machine learning.
See also Part 2 of the lecture: Industrial Data Science. You can find it in my profile (click the face)
Ethical Considerations in the Design of Artificial IntelligenceJohn C. Havens
A presentation for IEEE's Ethics Symposium happening in Vancouver, May 2016. Featuring presentations from John C. Havens, Mike Van der Loos, John P. Sullins, and Alan Mackworth.
Top 5 Deep Learning and AI Stories - October 6, 2017NVIDIA
Read this week's top 5 news updates in deep learning and AI: Gartner predicts top 10 strategic technology trends for 2018; Oracle adds GPU Accelerated Computing to Oracle Cloud Infrastructure; chemistry and physics Nobel Prizes are awarded to teams supported by GPUs; MIT uses deep learning to help guide decisions in ICU; and portfolio management firms are using AI to seek alpha.
Explore how different industries are embracing the utility of AI to create and deliver new value for their customers and organisation
* Discuss the state of maturity of AI across industries
* Get an appreciation of business posture to AI projects
We also review the utility of AI across several industries including:
* Healthcare
* Newsroom & Journalism
* Travel
* Finance
* Supply Chain / eCommerce / Retail
* Streaming & Gaming
* Transportation
* Logistics
* Manufacturing
* Agriculture
* Defense & Cybersecurity
Part of the What Matters in AI series as published on www.andremuscat.com
Analytics, Business Intelligence, and Data Science - What's the Progression?DATAVERSITY
Data analysis can include looking back at historical data, understanding what an organization currently has, and even looking forward to predictions of the future. This presentation will talk about the differences between analytics, business intelligence, and data science, as well as the differences in architecture — and possibly even organization maturity — that make each successful.
Learn more about these topics we will explore including:
Defining analytics, business intelligence, and data science
Differences in architecture
When to use analytics, business intelligence, or data science
Whether there has been an evolution between analytics, business intelligence, and data science
Big Data & Analytics (Conceptual and Practical Introduction)Yaman Hajja, Ph.D.
A 3-day interactive workshop for startups involve in Big Data & Analytics in Asia. Introduction to Big Data & Analytics concepts, and case studies in R Programming, Excel, Web APIs, and many more.
DOI: 10.13140/RG.2.2.10638.36162
Tips for the Food sector: To keep up with this constantly shifting consumer behavior, look for early signs by using Google Trends to see how demand for certain food products or delivery services is changing to meet people’s needs.
Tips for Travel marketers: Our APAC travel recovery itinerary revealed that people have local trips and safety in mind, so marketers should seek to provide safety information upfront and present local product offerings and fun activities.
Tips for keeping people entertained: Though some people who signed up for a new entertainment source might stay, there’s also a higher likelihood of churn when their trial period ends. If you saw an increase in people signing up for your online products and services, focus on retention to keep them coming back, especially if you offered a free trial during the pandemic.
Tips for merchants: Make sure you integrate digital payment options for your consumers. Digital payments are expected to see a continued boost post-COVID-19, and trust in e-Wallets will likely increase.
Although there is still some instability, the internet sector in SEA is set to emerge stronger than ever in a post-COVID-19 world. The digital economy remains a bright spot in a very challenging economic environment, and e-Commerce remains a key driver of growth. The biggest takeaway for brands and marketers is the need to focus on people and their changing habits online, as well as keeping up with changing trends, as we continue to understand what our new normal will look like in the future.
As NFT projects continue to pop up and censorship woes become a reality, decentralized storage has become a beacon of hope for many. Let’s check out how much the decentralized storage sector has grown!
The tipping point for electrified vehicles is in sight, and a combination of hybrid and fully electric powertrains is expected to cut the global market share of pure internal combustion engines (ICEs) by about 50% by 2030.
Data Driven Advanced Analytics using Denodo Platform on AWSDenodo
Watch full webinar here: https://buff.ly/3JC8gCS
Accelerating cloud adoption and modernizing analytics in the cloud has become a necessity to facilitate timely, insightful, and impactful decision making. However, with the widespread data in an organization across disparate hybrid cloud data sources poses a challenge with real time and well governed analytics. Data Virtualization is a modern data integration technique in which a single semantic layer can be built to help drive data democratization and speed up the analytics in an efficient and cost-effective manner.
Watch this session to learn:
- How various AWS services (Redshift, S3, RDS) can be quickly integrated using Denodo Platform’s logical data management by implementing a logical data fabric (LDF)
- How LDF helps you manage and deliver your data for data science and analytics programs, supporting your business users.
- How governed Data Services layer enables self-service analytics in your complex AWS data landscape
Big Data may well be the Next Big Thing in the IT world. The first organizations to embrace it were online and startup firms. Firms like Google, eBay, LinkedIn, and Facebook were built around big data from the beginning.
Two hour lecture I gave at the Jyväskylä Summer School. The purpose of the talk is to give a quick non-technical overview of concepts and methodologies in data science. Topics include a wide overview of both pattern mining and machine learning.
See also Part 2 of the lecture: Industrial Data Science. You can find it in my profile (click the face)
Ethical Considerations in the Design of Artificial IntelligenceJohn C. Havens
A presentation for IEEE's Ethics Symposium happening in Vancouver, May 2016. Featuring presentations from John C. Havens, Mike Van der Loos, John P. Sullins, and Alan Mackworth.
Canary in the Coalmine: How Social Media Can Prepare Us for Big Data Susan Etlinger
n this talk, Il discuss how organizations are addressing the challenges of social data--technological, organizational and cultural--and what it can teach us on the road to big data.
Strata 2014 Talk:Tracking a Soccer Game with Big DataSrinath Perera
Mobile devices, sensors and GPS are driving the demand to handle big data in both batch and real time. This presentation discusses how we used complex event processing (CEP) and MapReduce based technologies to track and process data from a soccer match as part of the annual DEBS event processing challenge. In 2013, the challenge included a data set generated by a real soccer match in which sensors were placed in the soccer ball and players’ shoes. This session will review how we used CEP to implement DESB challenge and achieved throughput in excess of 100,000 events/sec. It also will examine how we extended the solution to conduct batch processing using business activity monitoring (BAM) using the same framework, enabling users to obtain both instant analytics as well as more detailed batch processing based results.
Gayatri Patel, eBay, presents at the Big Analytics 2012 Roadshow
The wonders of what data can do for an organization is measured in the productivity and competitiveness of their team's decisions. Some believe more data is the key. Agreed...but good decisions require more than just deriving intelligence from big data. In this dynamic market, the need to socialize and evolve ideas with other teams, quickly correlate information across sources, and test ideas to fail fast early are strong enablers to gain competitive footing. eBay¹s analytic and technology advancements garners insights and approaches that continue to help our employees tell their "data stories" and make better decisions.
Introducción a la mesa redonda "La revolución M (Mobile) y el Turismo", Universidad Internacional Menéndez Pelayo (UIMP)
Ponentes:
Cristina Recoder - Turespaña
Pedro Jareño - minube.com
Iñaki Berenguer - Pixable / SingTel
Miguel Ortega - Blink Bookings
Modera:
Francisco Hernández Marcos - 11 Goals & Associates
From the Hadoop Summit 2015 Session with Tomer Shiran.
To deliver real-time impact from big data, organizations must evolve beyond traditional analytic approaches to support a new class of agile, distributed applications. Real-time Hadoop overcomes batch programs reliant on data transformations and schema management. This session highlights how leading organizations are leveraging Hadoop and NoSQL to merge analytics and production data to make adjustments while business is happening to optimize revenue, mitigate risk and reduce operational costs. Details include how companies have achieved real-time impact on their business, collapsed data silos, and automated in-line analytics with operational data for immediate impact.
Lies, Damned Lies and Software Analytics: Why Big Data Needs Rich DataMargaret-Anne Storey
(Abstract and video links below)
ACM SIGSOFT Webinar May 4th, 2016
Distinguished lecture at ISR, UCI, April 2016.
UCI Video is available at: https://www.youtube.com/watch?v=Ujm4G7ayRQQ
Webinar link will be available shortly.
This talk is based on a short chapter to appear in a forthcoming book on "Perspectives on Data Science for Software Engineering", it can be preordered here:
http://goo.gl/Wi30Ra
Abstract:
Software analytics and the use of computational methods on "big" data in software engineering is transforming the ways software is developed, used, improved and deployed. Software engineering researchers and practitioners are witnessing an increasing trend in the availability of diverse trace and operational data and the methods to analyze it. This information is being used to paint a picture of how software is engineered and suggest ways it may be improved. But we have to remember that software engineering is inherently a socio-technical endeavour, with complex practices, activities and cultural aspects that cannot be externalized or captured by tools alone---in fact, they may be perturbed when trace data is surfaced and analyzed in a transparent manner.
In this talk, I will ask:
- Are researchers and practitioners adequately considering the unanticipated impacts that software analytics can have on software engineering processes and stakeholders?
- Are there important questions that are not being asked because the answers do not lie in the data that are readily available?
- Can we improve the application of software analytics using other methods that collect insights directly from participants in software engineering (e.g., through observations)?
I will explore these questions through specific examples. I hope to engage the audience in discussing how software analytics that depend on "big data" from tools, as well as methods that collect "thick" data from participants, can be mutually beneficial in improving software engineering research and practice.
Great quotes from historical leading thinkers (Einstein) to contemporary (Tim O’Reilly & DJ Patil) have to say about the power, use and analysis of data.
Big Data and Analytics are playing an important role to improve the performance of game and players on the field, off the field through predictive decisions.
Gaining Competitive Advantage through Supplier Collaboration and Supplier Rel...TraceGains
If you have any questions or comments, please send them to connect@tracegains.com. We look forward to hearing from you.
Race to win, rather than race to the bottom!
Continued consolidation of the food supply base will lead to more powerful and assertive customers in some markets. These customers are placing increasing demand on the entire supply chain for reduced cost and higher levels of value delivery. While many companies focus on price reduction as a solution they soon realize that there is only so much supplier margin and they soon become in effective in trying to meet the increasing demands of the customer and company management. They also realize that there is a significant cost and time involved in changing and developing new suppliers.
The solution to increasing demand for value is to get business alignment across the entire supply chain. This requires value-based relationships will require substantial changes in behavior by the buyer and seller. This webinar will detail the need to establish clear processes through which buyers and suppliers interface and collaborate. The focus is on building and developing a Supplier Relationship Management (SRM) focus for your business.
Things covered in the seminar:
-How can a company build a process that delivers cost and value improvement Year on Year
Understanding the Supplier Relationship Management Process
-Identifying which suppliers are good candidates for SRM
-How to drive collaboration with suppliers
Predictive Modeling & Data-Driven Product Insights at LinkedIn - Scott Nichol...Scott Nicholson
Talk given at Advanced Analytics & Big Data Forum conference in San Francisco on April 25, 2012.
Abstract: Data on 150+ million professionals' careers and networks provide a fascinating playground for analysts to discover data insights about career trends, the social web and the economy. This talk will focus on how insights extracted from the LinkedIn dataset enable individuals with limited information the ability to make better decisions about their professional lives. In the course of this theme we will discuss data tools, insights and approaches to predictive modeling in the context of the LinkedIn dataset and Analytics Team.
Il ruolo dei dati nella trasformazione digitale - SAS italySAS Italy
SAS Italy - Quali sono le sfide attuali e future per l’analisi dei Big Data? Per governare al meglio il crescente volume, velocità e varietà dei dati a disposizione è necessario applicare soluzioni di Streaming Analytics, Data Sampling e Data Fusion. Solo così sarà possibile mettere gli Analytics in Action. Scopri, in questa presentazione di apertura del SAS Road Show 2017, come SAS Viya aiuta le aziende a rispondere alle esigenze presenti e future sull’analisi dei dati.
Getting Started with Data Governance? Use Process Models!DATAVERSITY
In order to prepare for a data governance initiative, companies need to break down their organizational silos and address inefficiencis in business process. Any organization will use a number of different business processes for operations, sales, marketing, and other areas. Capturing the way a business works can be challenging, but data architects should work with business stakeholders to establish process models and ensure they are all speaking the same language to create a solid foundation for enterprise architecture and data governance. IDERA's Kim Brushaber will discuss the importance of business process modeling as the first step for data governance and demonstrate how ER/Studio Business Architect helps companies map and model the relationships between process, people, and data.
ABD303_Developing an Insights Platform—the Sysco Journey from Disparate Syste...Amazon Web Services
Sysco has nearly 200 operating companies across its multiple lines of business throughout the United States, Canada, Central/South America, and Europe. As the global leader in food services, Sysco identified the need to streamline the collection, transformation, and presentation of data produced by the distributed units and systems, into a central data ecosystem. Sysco's Business Intelligence and Analytics team addressed these requirements by creating a data lake with scalable analytics and query engines leveraging AWS services. In this session, Sysco will outline their journey from a hindsight reporting focused company to an insights driven organization. They will cover solution architecture, challenges, and lessons learned from deploying a self-service insights platform. They will also walk through the design patterns they used and how they designed the solution to provide predictive analytics using Amazon Redshift Spectrum, Amazon S3, Amazon EMR, AWS Glue, Amazon Elasticsearch Service and other AWS services.
Developing an Insights Platform—the Sysco Journey from Disparate Systems to a...Amazon Web Services
Sysco has nearly 200 operating companies across its multiple lines of business throughout the United States, Canada, Central/South America, and Europe. As the global leader in food services, Sysco identified the need to streamline the collection, transformation, and presentation of data produced by the distributed units and systems, into a central data ecosystem. Sysco's Business Intelligence and Analytics team addressed these requirements by creating a data lake with scalable analytics and query engines leveraging AWS services. In this session, Sysco will outline their journey from a hindsight reporting focused company to an insights driven organization. They will cover solution architecture, challenges, and lessons learned from deploying a self-service insights platform. They will also walk through the design patterns they used and how they designed the solution to provide predictive analytics using Amazon Redshift Spectrum, Amazon S3, Amazon EMR, AWS Glue, Amazon Elasticsearch Service and other AWS services.
Business Growth and Enhancing Consumer Experience Through Online Payment Rashed Moslem
E Commerce is the next big thing in Bangladesh. I have prepared this presentation with industry data and my experience in digital industry. I tried to show how online payment can enhance consumer experience in the long run and how consumer behavior is changing over the time.
Big Data & Analytics continues to redefine business. Data has transitioned from an underused asset to the lifeblood of the organisation, and a critical component of business intelligence, insight and strategy.
Big Data Scotland is the largest annual data analytics conference held in Scotland: it is supported by ScotlandIS and The Data Lab and free for delegates to attend. The conference is geared towards senior technologists and business leaders and aims to provide a unique forum for knowledge exchange, discussion and cross-pollination.
The programme will explore the evolution of data analytics; looking at key tools and techniques and how these can be applied to deliver practical insight and value. Presentations will span a wide array of topics from Data Wrangling and Visualisation to AI, Chatbots and Industry 4.0.
Key Topics
• Tools and techniques
• Corporate data culture, business processes, digital transformation
• Business intelligence, trends, decision making
• AI, Real-time Analytics, IoT, Industry 4.0, Robotics
• Security, regulation, privacy, consent, anonymization
• Data visualisation, interpretation and communication
• CRM and Personalisation
This presentation offers a basic understanding of Big Data. It does this by defining Big Data, offers a History of Big Data, Big Data by the Numbers and the 8 Laws of Big Data
This session is especially tailored for technology and consulting partners, looking to learn more about big data and analytics on AWS. As individuals and commerce move online, companies have unprecedented access to data to improve customer experience and take advantage of new market opportunities. However, organizations often struggle with turning data into actionable insights to drive their business. Learn how AWS and big data APN partners are helping companies enable a broad range of analytic capabilities, to deliver better business results and better serve their customers. We discuss key big data and analytics use cases, and programs to enable partners to get to market with these solutions.
Integrating the CDO Role Into Your Organization; Managing the Disruption (MIT...Caserta
The role of the Chief Data Officer (CDO) has become integral to the evolution needed to turn a wisdom-driven company into an analytics-driven company. With Data Governance at the core of your responsibility, moving the innovation meter is a global challenge among CDOs. Specifically the CDO must:
• Provide a single point of accountability for data initiatives and issues
• Innovate ways to use existing data and evangelize a data vision for the organization
• Support & enforce data governance policies via outreach, training & tools
• Work with IT to develop/maintain an enterprise data repository
• Set standards for analytical reporting and generate data insights through data science
In this session, Joe Caserta addresses real-word CDO challenges, shares techniques to overcome them, manage corporate disruption and achieve success.
Becoming a data-driven organization in a fast-moving world - SAS italySAS Italy
SAS italy - Per diventare un’organizzazione data-driven è fondamentale mantenere la Governance del “fiume” di dati a disposizione. Una gestione necessaria che deve strutturarsi attraverso 3 fattori chiave: Persone, Processi e Tecnologie. Scopri nella presentazione di Oliver Penel, SAS EMEA Data Management Business Director, le raccomandazioni, i focus e le giuste domande che le aziende devono porsi per non rischiare di farsi travolgere dall’ondata di informazioni a loro disposizione.
This talk is an introduction to Data Science. It explains Data Science from two perspectives - as a profession and as a descipline. While covering the benefits of Data Science for business, It explaints how to get started for embracing data science in business.
ABD218_How Euroleague Basketball Uses IoT Analytics to Engage Fans- ABD218Amazon Web Services
IoT and big data have made their way out of industrial applications, general automation, and consumer goods, and are now a valuable tool for improving consumer engagement across a number of industries, including media, entertainment, and sports. The low cost and ease of implementation of AWS analytics services and AWS IoT have allowed AGT, a leader in IoT, to develop their IoTA analytics platform. Using IoTA, AGT brought a tailored solution to EuroLeague Basketball for real-time content production and fan engagement during the 2017-18 season. In this session, we take a deep dive into how this solution is architected for secure, scalable, and highly performant data collection from athletes, coaches, and fans. We also talk about how the data is transformed into insights and integrated into a content generation pipeline. Lastly, we demonstrate how this solution can be easily adapted for other industries and applications.
What is Machine Learning?!
AI that makes whisky | The "Chief Nose" Officer | Are You A Citizen Developer?! | The 5 S of Data | 92% use more than one cloud…and other data trends!
Thanks all for your feedback on my LinkedIN Live with Bernard Marr. Next week, on Tuesday, I'll be talking with Eric from Bloor. Be sure to register for free at https://bit.ly/3aTCcJt
1 - The Tyranny of the “OR”
2 - Data Fabric or Data Mesh?!
3 - How We Decide
4 - Poor Data Quality Could Cost You...
5 - The five core IT shifts of scaled agile organizations
Predictions: Worldwide IT Spending to Reach $4 Trillion in 2021
CIOs are the future?!
NFTs...not so much
Poor Data Quality Could Cost You...$12.8M a year
7 Lessons on how tech transformations can deliver value
92% of VCs consider themselves to be value add investors. MOST venture-backed #entrepreneurs disagree
Centralize OR Decentralize?! Eliminate Decision Failure & See The Future…
From Data to Analytics and Decision Making, new practices to help you succeed today and tomorrow.
How To 2.6X Your Business Value
The Rise of the "Augmenter Consumer", The 8 'Ates of Data Value, Is Pre-Covid Data Useless?! and Why It's So Hard To Be Data Driven?!
Happy National Croissant Day!
The Tales of the "Faux Croissant" & "Data Nostalgia", Artificial Intelligence that thinks like YOU thanks to GTP-3…and Dave Kellogg's biggest HITs and MISSES.
How To “Future Proof” Your Business | Gartner’s Top Data & Analytics Predictions for 2021 | Do your neighbors want to get vaccinated? | Why AI fails. 2021 Edition | Entrepreneurship Lessons…and “Busy Is The New Stupid”
This week is a little special: it's the last post of the year and my 71th since I started this series. We covered a lot this year and there is a lot to look forward to in the next updates in the next years.
As many of you already know, I'm a big fan of the Economist and have been for many many years. So, as you take some time off between Xmas and New Years, I suggest you pick up a copy of the Economist's "The World In 2021".
According to Gartner, Data Stories (NOT dashboards) will become the most widespread way of consuming Analytics by 2025, and 75% of these stories will be automatically generated using augmented analytics techniques….
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 4
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