Imagining the Future - A Smart Connected World - in the Post-PC Era we need thing beyond "BigData" and "IoT" and imagine a Human-Centered, Interactive World. A world where technology isn't static, but interactive, and behaves more like organic communities and follows natural models of alignment and intelligence.
“Don’t shoot the PM!” or data literacy from a product management point of viewClaire Devilard
As a Product Manager, I tend to be at the crossroad of people with very different levels of data literacy. In this presentation, I share tips on how to handle working on data with non-data specialists, from struggling with data requests nonsense, implementing self-service data tools or pushing for improved data standards when it is not a business priority.
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This slideshow was first presented at a meetup organised by “Data Plus Women” at the Information Lab Data School offices in London, on 15 July 2019. Take a look at their MeetUp page here: https://www.meetup.com/Data-Plus-Women/
David Turnbull, cofounder and CCO Snapshot, at Travel Tech Conference Russia 2017 (http://traveltechcon.ru/eng).
"As the debate surrounding the dominance of OTA's and who truly "owns" the customer intensifies, David takes an amusing but critical look at the current state of data management within the hospitality sector and why this is preventing the significant leaps in customer experience achieved by other industries".
Subscribe to TTCR news: http://eepurl.com/cnhNvH
Data, Strategy, and Authenticity: a love storyKendra Clarke
We all have data. We know that we need to use data. But how do we use data to make strategic decisions when strategy making is a primarily creative act?
Is big data handicapped by "design"? Seven design principles for communicatin...Zach Gemignani
Is big data handicapped by "design"? This presentation shares the seven design principles for effective data communication. Good and bad examples for data visualizations highlight the choices designers make in helping non-analytical audiences understand the meaning in data.
“Don’t shoot the PM!” or data literacy from a product management point of viewClaire Devilard
As a Product Manager, I tend to be at the crossroad of people with very different levels of data literacy. In this presentation, I share tips on how to handle working on data with non-data specialists, from struggling with data requests nonsense, implementing self-service data tools or pushing for improved data standards when it is not a business priority.
--------------
This slideshow was first presented at a meetup organised by “Data Plus Women” at the Information Lab Data School offices in London, on 15 July 2019. Take a look at their MeetUp page here: https://www.meetup.com/Data-Plus-Women/
David Turnbull, cofounder and CCO Snapshot, at Travel Tech Conference Russia 2017 (http://traveltechcon.ru/eng).
"As the debate surrounding the dominance of OTA's and who truly "owns" the customer intensifies, David takes an amusing but critical look at the current state of data management within the hospitality sector and why this is preventing the significant leaps in customer experience achieved by other industries".
Subscribe to TTCR news: http://eepurl.com/cnhNvH
Data, Strategy, and Authenticity: a love storyKendra Clarke
We all have data. We know that we need to use data. But how do we use data to make strategic decisions when strategy making is a primarily creative act?
Is big data handicapped by "design"? Seven design principles for communicatin...Zach Gemignani
Is big data handicapped by "design"? This presentation shares the seven design principles for effective data communication. Good and bad examples for data visualizations highlight the choices designers make in helping non-analytical audiences understand the meaning in data.
Launching Data Products for Fun and ProfitZach Gemignani
You've made your big data investments, but where is the ROI. The answer may be in data products -- using your data assets to build customer-facing solutions that differentiate and generate new revenue streams. This presentation explains the opportunity and best practices for designing, building, and launching data products.
Winning The Digital Transformation Game with MongoDBMongoDB
What do you need to build your digital strategy? An Agile Lab, few tattooed developers, Macbooks loaded with XCode and Android Studio and MongoDB. Learn how MongoDB played a key role in RBC Wealth’s digital transformation and delivering award winning mobile and web applications.
Beyond Data Visualization: What's next in communicating with data?Zach Gemignani
We've made great progress in learning how to visualize data, yet a gap still remains between the data experts and the data consumers who might take action on the data. This presentation, shared at the Nashville Analytics Summit, explains how we can bring people into the process of communicating data and guide them to informed actions.
See what attorneys are saying about LexisNexis MedMal Navigator, the first-of-its-kind, interactive medical malpractice litigation dashboard made for medical malpractice and insurance defense practitioners.
MongoDB World 2019: Winning the Digital Transformation Game with MongoDBMongoDB
What do you need to build your digital strategy? An Agile Lab, few tattooed developers, Macbooks loaded with XCode and Android Studio and MongoDB. Learn how MongoDB played a key role in RBC Wealth’s digital transformation and delivering award winning mobile and web applications.
WiDS - Unleashing the promises of big dataYara Jubran
Due to the rapid development of information and computer technologies, nowadays we can generate, store and process big data more than ever. Consequently, organizations can benefit from this significant development as it allows them to have more data at their disposal. However, for organizations to benefit from available data, the data must be processed, extracted and converted into useful information that may lead to taking informed decision. Yet, this is easier said than done.
While there is a shared understanding of big data’s power and importance, many fail to perceive the actionable steps and resources required to utilize it effectively. And this lack of strategic planning -which enables us to optimally use big data and take faster evidence-informed decisions- is one of the major impediments to successful completion of big data projects and initiatives.
The aim of this presentation is setting out a roadmap to simplify the shift onto the big data journey for businesses by answering ‘How to unleash the promises of big data within an organization?’ It will address the key factors to decode big data successfully and suggests a set of main steps to do it. The key steps are drawn from multiple domains and case studies that are each deemed to constitute the strategic plan.
Data Visualization: Addressing Data Overload With the Power of 'Wow'Forum One
Some have called data visualization “big data’s hot cousin.” Learn from our panelists how to better uncover and feature your data treasures in new and compelling ways. You can have the most impressive results imaginable, but if they are buried in a 45-page PDF or lost in a sea of Excel formulas, how are you going to use them to make the change you need to make? Be a better consumer and translator of the sea of data around you—and help your audiences understand what it all means.
Struggling to cope with the challenges of big data now? There’s a “big data tsunami” approaching on the horizon. You can prepare to “catch the wave” rather than being left behind by market leaders.
Presentation on " ANALYSIS OF TED TALK BY DAVID McCANDLESS ON THE BEAUTY OF DATA VISUALIZATION" made as a task for the internship on "DATA ANALYTICS WITH MANAGERIAL APPLICATIONS" under Professor Sameer Mathur, IIM Lucknow. Submitted by TARANG JAIN,DTU
Everybody has heard of Big Data, and its promise as the next great frontier for innovation. However, Big Data is neither new nor easily defined. What are the key drivers that make Big Data so critically important today? What is the single idea behind Big Data that promises such game changing outcomes for capable organizations? Who are the skilled talent that deliver Big Data results?
This presentation briefly reviews the opportunities, motivation and trends that are driving Big Data disruption. Data science is introduced as the enabling engine for Big Data transformation via the creation of new Data Products. The data scientist is defined and his tools, workflow and challenges are reviewed. Finally, practical tips are presented for approaching data product development.
Key takeaways include:
- Big Data disruption is driven by four megatrends
- Data is the essential raw material for creating valuable Data Products
- Data scientists are heterogeneous by role & skill set, but share common tools, workflows and challenges
- Data science talent is more important than raw data for Big Data success
These slides are modified from an invited presentation for the Gwinnett Chamber of Commerce on March 18, 2014. An excerpt was presented at the Georgia Pacific Social Media Working Session on March 19, 2014.
Launching Data Products for Fun and ProfitZach Gemignani
You've made your big data investments, but where is the ROI. The answer may be in data products -- using your data assets to build customer-facing solutions that differentiate and generate new revenue streams. This presentation explains the opportunity and best practices for designing, building, and launching data products.
Winning The Digital Transformation Game with MongoDBMongoDB
What do you need to build your digital strategy? An Agile Lab, few tattooed developers, Macbooks loaded with XCode and Android Studio and MongoDB. Learn how MongoDB played a key role in RBC Wealth’s digital transformation and delivering award winning mobile and web applications.
Beyond Data Visualization: What's next in communicating with data?Zach Gemignani
We've made great progress in learning how to visualize data, yet a gap still remains between the data experts and the data consumers who might take action on the data. This presentation, shared at the Nashville Analytics Summit, explains how we can bring people into the process of communicating data and guide them to informed actions.
See what attorneys are saying about LexisNexis MedMal Navigator, the first-of-its-kind, interactive medical malpractice litigation dashboard made for medical malpractice and insurance defense practitioners.
MongoDB World 2019: Winning the Digital Transformation Game with MongoDBMongoDB
What do you need to build your digital strategy? An Agile Lab, few tattooed developers, Macbooks loaded with XCode and Android Studio and MongoDB. Learn how MongoDB played a key role in RBC Wealth’s digital transformation and delivering award winning mobile and web applications.
WiDS - Unleashing the promises of big dataYara Jubran
Due to the rapid development of information and computer technologies, nowadays we can generate, store and process big data more than ever. Consequently, organizations can benefit from this significant development as it allows them to have more data at their disposal. However, for organizations to benefit from available data, the data must be processed, extracted and converted into useful information that may lead to taking informed decision. Yet, this is easier said than done.
While there is a shared understanding of big data’s power and importance, many fail to perceive the actionable steps and resources required to utilize it effectively. And this lack of strategic planning -which enables us to optimally use big data and take faster evidence-informed decisions- is one of the major impediments to successful completion of big data projects and initiatives.
The aim of this presentation is setting out a roadmap to simplify the shift onto the big data journey for businesses by answering ‘How to unleash the promises of big data within an organization?’ It will address the key factors to decode big data successfully and suggests a set of main steps to do it. The key steps are drawn from multiple domains and case studies that are each deemed to constitute the strategic plan.
Data Visualization: Addressing Data Overload With the Power of 'Wow'Forum One
Some have called data visualization “big data’s hot cousin.” Learn from our panelists how to better uncover and feature your data treasures in new and compelling ways. You can have the most impressive results imaginable, but if they are buried in a 45-page PDF or lost in a sea of Excel formulas, how are you going to use them to make the change you need to make? Be a better consumer and translator of the sea of data around you—and help your audiences understand what it all means.
Struggling to cope with the challenges of big data now? There’s a “big data tsunami” approaching on the horizon. You can prepare to “catch the wave” rather than being left behind by market leaders.
Presentation on " ANALYSIS OF TED TALK BY DAVID McCANDLESS ON THE BEAUTY OF DATA VISUALIZATION" made as a task for the internship on "DATA ANALYTICS WITH MANAGERIAL APPLICATIONS" under Professor Sameer Mathur, IIM Lucknow. Submitted by TARANG JAIN,DTU
Everybody has heard of Big Data, and its promise as the next great frontier for innovation. However, Big Data is neither new nor easily defined. What are the key drivers that make Big Data so critically important today? What is the single idea behind Big Data that promises such game changing outcomes for capable organizations? Who are the skilled talent that deliver Big Data results?
This presentation briefly reviews the opportunities, motivation and trends that are driving Big Data disruption. Data science is introduced as the enabling engine for Big Data transformation via the creation of new Data Products. The data scientist is defined and his tools, workflow and challenges are reviewed. Finally, practical tips are presented for approaching data product development.
Key takeaways include:
- Big Data disruption is driven by four megatrends
- Data is the essential raw material for creating valuable Data Products
- Data scientists are heterogeneous by role & skill set, but share common tools, workflows and challenges
- Data science talent is more important than raw data for Big Data success
These slides are modified from an invited presentation for the Gwinnett Chamber of Commerce on March 18, 2014. An excerpt was presented at the Georgia Pacific Social Media Working Session on March 19, 2014.
THIRUVANANTHAPURAM, JULY 19:
Marlabs, a Bangalore-based provider of IT services, is sponsoring a ‘Business Intelligence Technology’ conference at the Thiruvananthapuram Technopark on Friday.
The event will focus on emerging trends in Business Intelligence (BI) Technology, a Marlabs spokesman said.
It will feature eminent speakers from leading information technology companies including Marlabs, Infosys, UST Global, NeST and Kreara.
The conference will discuss latest developments in emerging BI areas such as predictive analytics, Big Data, mobile BI, social BI and advanced visualisations. It will also highlight the growing job opportunities for newly graduated software professionals in the Tier II and Tier III cities.
Today, we have data – lots of it. We can process information – in many ways. And with these two tools and a little bit of creativity, we are discovering the vast depths of human behavior and by extension, a way to accurately predict the future -- and our future happiness. In fact, we can quantify human movement, behaviors, desires, and even moods on a scale that wasn’t possible before a series of advances in processing power, developments in psychology and social network science, and most importantly, access to data.
In advertising, industry, and humanity, we have experienced the evolution from Web 1.0 (informational) to Web 2.0 (platform) to Web 3.0 (semantic) to elements of Web 4.0 (anticipatory) – In this anticipatory era, what can we dream of next? Beyond addressability and increasing ad relevance, how can businesses utilize these advances in product development and other market initiatives? Can we make the leap from inductive logic to human-paralleled intuition? Can this make up for our human brain mechanics that make predicting our own happiness so difficult?
In this talk we’ll cover the evolutions in data access, models for information processing, and the science of collaboration to see not only how they have been leveraged in businesses but also how they are used to better understand human behavior, and hopefully in the near future, a little bit of happiness.
Python's Role in the Future of Data AnalysisPeter Wang
Why is "big data" a challenge, and what roles do high-level languages like Python have to play in this space?
The video of this talk is at: https://vimeo.com/79826022
Dr Bonnie Cheuk IDC Future of Work Keynote: Workforce Transformation Human Ma...Bonnie Cheuk
Dr Bonnie Cheuk, AstraZeneca Digital Transformation & Global Capability Leader (Learning Culture and Learning Agility), delivered a keynote at IDC Future of Work Conference on 3 Mar 2020. She provoked the audience to go beyond the hype, and think deeper on how human and AI and data-driven Machine collaborate together.
These 3 questions were discussed:
1. How should human and machine collaborate? What skills are required?
2. Will machines replace (most) jobs?
3. Will there be new jobs to enable human-machine collaboration?
Drawing on Dervin's Sense-Making Methodology, Bonnie reminded us that human beings are not robotic machines. Human beings have feelings, experience, we are both scientists and artists, we are analytics and we are emotional.
Bonnie asked the audience how would you like to build a high performance team? Who do you want to put in the team? Do you want everyone to have the same strength, same skills? Or would you pick a team making up of players who can complement one another, and can bring out the best of one another. So in order to propose how human and machine should collaborate in the future of work, it is useful to first ask: what is the strength of human beings? What is the strength of the machine? We need to understanding how AI-driven machines learn vs how human beings learned, and play to one another's strength. And what is the strength of human? It is being human. Let the machine handle the deductive reasoning, the data-driven predictions, repetitive tasks. Let the humans do what we do well, adapting, navigating the unknown, use our human skills, promote collective sense making to make judgement, decisions. And free up the time to allow us to learn, create and innovate.
Bonnie highlighted that there are many unknowns as to how AI will be further developed, and there are ethical issues and risks that have to be addressed, and there are no precedents to follow. Collective human sense making is critical to bring out multiple perspectives from different stakeholders, to co-create AI-driven machines that human beings can trust, and to collectively address tricky ethical issues early on. Dervin’s Sense-Making Metaphor is introduced to facilitate two-way dialogue, to address power issues, and to explore common and divergent views to build common understanding of potential challenges, and co-create solutions to address them.
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
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Statistics: Visualizing Data
Introductory Essay from the Locks
The Reality Today
All of us now are being blasted by information design. It's being poured into our eyes
through the Web, and we're all visualizers now; we're all demanding a visual aspect to
our information… And if you're navigating a dense information jungle, coming across
a beautiful graphic or a lovely data visualization, it's a relief, it's like coming across a
clearing in the jungle. –David McCandless
In today’s complex ‘information jungle,’ David McCandless observes that “Data is the new soil.”
McCandless, a data journalist and information designer, celebrates data as a ubiquitous resource
providing a fertile and creative medium from which new ideas and understanding can grow.
McCandless’s inspiration, statistician Hans Rosling, builds on this idea in his own TEDTalk with his
compelling image of flowers growing out of data/soil. These ‘flowers’ represent the many insights that
can be gleaned from effective visualization of data.
We’re just learning how to till this soil and make sense of the mountains of data constantly being
generated. As Gary King, Director of Harvard’s Institute for Quantitative Social Science says in his New
York Times article “The Age of Big Data”:
“It’s a revolution. We’re really just getting under way. But the march of quantification,
made possible by enormous new sources of data, will sweep through academia,
business and government. There is no area that is going to be untouched.”
How do we deal with all this data without getting information overload? How do we use data
to gain real insight into the world? Finding ways to pull interesting information out of data can
be very rewarding, both personally and professionally. The managing editor of Financial Times
observed on CNN’s Your Money: “The people who are able to in a sophisticated and practical
way analyze that data are going to have terrific jobs." Those who learn how to present data in
effective ways will be valuable in every field.
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Many people, when they think of data, think of tables filled with numbers. But this long-held notion is
eroding. Today, we’re generating streams of data that are often too complex to be presented in a
simple “table.” In his TEDTalk, Blaise Aguera y Arcas explores images as data, while Deb Roy uses
audio, video, and the text messages in social media as data.
Some may also think that only a few specialized professionals can draw insights from data. When we
look at data in the right way, however, the results can be fun, insightful, even whimsical--and accessible
to everyone! Who knew, for example, that there are more relationship break-ups on Monday than on
any other day of the week, or that ...
The Modern Columbian Exchange: Biovision 2012 PresentationMerck
The Columbian Exchange is a term used to capture what happened to North American Native Indians when the arrival of European settlers introduced ideas, animals, plants, and diseases that otherwise they had not yet been exposed to. Today, the Modern Columbian Exchange is occurring at a global scale, caused by unprecedented global travel and the Internet. An outcome of this Modern Columbian Exchange is disease outbreaks which have and will continue to affect dozens of countries in a very short time, impacting agriculture, tourism, and ultimately resulting in social tensions and the loss of life. The global response requires tight and timely coordination across countries. This necessitates the processing of large volumes of data – “BIG DATA” – which implies variety, variability and velocity. In this presentation, we explore the challenges of BIG DATA for preventative global health care. We answer the questions: a) how can human intelligence be more effectively leveraged to develop new insights, and b) how does this impact the design of data and information repositories? We conclude “The Time is NOW” for a new real-time analytics paradigm to transform the discovery and learning process.
Innovation med big data – chr. hansens erfaringerMicrosoft
Mange steder er Big Data stadig det nye og ukendte, der ikke har topprioritet hos IT, da ”vi ikke har store datamængder”. Men Big Data er meget mere end store datamængder. I Chr. Hansen A/S har Forskning og Udvikling (Innovation) afdelingen arbejdet med værdien af data og som resultat etableret et tværfagligt BioInformatik-program på Big Data teknologier fra Microsoft.
Big Data Past, Present and Future – Where are we Headed? - StampedeCon 2014StampedeCon
At StampedeCon 2014, Rob Peglar (EMC Isilon) presented "Big Data Past, Present and Future – Where are we Headed?"
Rob Peglar was one of the speakers at the very first StampedeCon. Following that talk two years ago, Rob will present an overview of and insight into the technologies and system approaches to computing, transport and storage of big data – where we’ve been, are now and are headed. There is a major ‘fork in the road’ upcoming in the treatment and business application of big data and the technology that surrounds it, one that is important enough to change the course of the methodologies and approaches used by large and small business alike, especially for the infrastructure required either on premise or in the cloud.
6.a survey on big data challenges in the context of predictiveEditorJST
Information is producing from various assets in a quick fashion. In request to know how much information is advancing we require predictive analytics. When the information is semi organized or unstructured the ordinary business insight calculations or instruments are not useful. In this paper, we have attempted to call attention to the difficulties when we utilize business knowledge devices
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
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.
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.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
6. In the Next Generation of
Intelligence
for the
Post-PC Era
The Metaphor
Must Change Again to a
New Paradigm
Two Dimensional Intelligence
No Longer Captures the Global
Complexity of
The Connected World
| Page 6
7. Traditional View of Big Data “We Have Mountains of Data”
and: “There’s GOLD in Them Thar Hills!”
You just have to dedicate Massive Computing Resources & Teams of Data
Scientists to identify nuggets of insight within a matter of Days or Hours.
SLOW DATA
THIS ISN’T ENOUGH IN THE CONNECTED WORLD
9. Taking it
Further:
People Must
Be The Center
For Multi-Device
Connected Applications
Smart Devices & Smart
Applications Must
Evolve Into
Conversational Models
For Communication
& Interaction
10. The Future will be Automatic, Transparent, Dynamic, Elastic, Intelligent:
Organic Models of Alignment & Intelligence
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