Making Leaders Successful Every Day by Roxana Strohmenger of Forrester - Pres...InsightInnovation
The document discusses how companies can become customer-obsessed and succeed in today's age of the customer. It recommends that companies shift to becoming an Intelligent Enterprise by bridging customer experience, intelligence, and research departments. Insights should come from continuous integration of various data sources including new sources of data. The document holds up Disney's "guestology" processes as the pinnacle example of an Intelligent Enterprise.
This whitepaper discusses interactive Venn diagrams and how they can provide a powerful way for business users to gain insights from corporate data. It explains that Venn diagrams visually show relationships between sets of data in a simple way. While traditionally time-consuming to produce, new tools now allow Venns to be built and manipulated in real-time without SQL. The document argues that Venn diagrams, though originally developed in the 19th century, are well-suited to today's advanced analytics needs by revealing patterns that would be difficult to uncover with other techniques.
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This presentation is based on an article “ Data is Worthless if You Don’t Communicate It ” by Thomas H. Davenport published under Harvard Business review in year 2013 .
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It’s not that you’ll have to deal with new information about your target account every other day. The necessity of data accuracy and recency arises at the point when your target decision-maker changes their job, role, contact details, and other critical aspects.
Digital Foresight, a ready-to-implement solution that
helps inform you about a high-value customer’s likelihood to
defect and enable you to take the next best action to keep
existing customers
1. The document discusses how contact center managers currently struggle to track customer interactions across multiple vendor systems storing proprietary data.
2. It proposes using a big data platform like Esgyn to ingest real-time and historical data from various systems into a single "customer data lake" to better analyze customer journeys and behavior.
3. Esgyn provides a vendor-agnostic platform for building a contact center data lake to gain insights into customer experiences across different touchpoints.
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White papers are authoritative pieces of marketing collateral commonly used in B2B processes. They are your opportunity to articulate the value of your product/service and make a compelling case to use you as a preferred service provider.
Making Leaders Successful Every Day by Roxana Strohmenger of Forrester - Pres...InsightInnovation
The document discusses how companies can become customer-obsessed and succeed in today's age of the customer. It recommends that companies shift to becoming an Intelligent Enterprise by bridging customer experience, intelligence, and research departments. Insights should come from continuous integration of various data sources including new sources of data. The document holds up Disney's "guestology" processes as the pinnacle example of an Intelligent Enterprise.
This whitepaper discusses interactive Venn diagrams and how they can provide a powerful way for business users to gain insights from corporate data. It explains that Venn diagrams visually show relationships between sets of data in a simple way. While traditionally time-consuming to produce, new tools now allow Venns to be built and manipulated in real-time without SQL. The document argues that Venn diagrams, though originally developed in the 19th century, are well-suited to today's advanced analytics needs by revealing patterns that would be difficult to uncover with other techniques.
Week2day2 communicating data for impactNishant Kumar
This presentation is based on an article “ Data is Worthless if You Don’t Communicate It ” by Thomas H. Davenport published under Harvard Business review in year 2013 .
How contextual data enhances business growth Bizkonnect
The document discusses how B2B marketers are increasingly focusing on contextual insights rather than just data volume to drive sustainable growth. It recommends leveraging an actionable sales intelligence software supported by virtual sales assistants to access contextualized customer data. Such data should focus on complete decision-making groups rather than individuals, go beyond generic databases with customized insights, and provide high quality global coverage that integrates with CRM systems.
Who will be the most suitable b2 b data provider for you Bizkonnect
It’s not that you’ll have to deal with new information about your target account every other day. The necessity of data accuracy and recency arises at the point when your target decision-maker changes their job, role, contact details, and other critical aspects.
Digital Foresight, a ready-to-implement solution that
helps inform you about a high-value customer’s likelihood to
defect and enable you to take the next best action to keep
existing customers
1. The document discusses how contact center managers currently struggle to track customer interactions across multiple vendor systems storing proprietary data.
2. It proposes using a big data platform like Esgyn to ingest real-time and historical data from various systems into a single "customer data lake" to better analyze customer journeys and behavior.
3. Esgyn provides a vendor-agnostic platform for building a contact center data lake to gain insights into customer experiences across different touchpoints.
White Paper Writing Service - By DSR GhostwritingDaniel Rosehill
White papers are authoritative pieces of marketing collateral commonly used in B2B processes. They are your opportunity to articulate the value of your product/service and make a compelling case to use you as a preferred service provider.
XtremeLogics provides a solution for real-time social media monitoring and data categorization. Their platform automatically categorizes social media data to transform it into useful information for applications. It can answer questions about customer satisfaction and interest in programs. The platform extracts data from sources like Twitter, Facebook, and LinkedIn and performs sentiment analysis, behavioral mapping, and parameterization.
Using big data allows companies to personalize marketing and increase customer loyalty and spending. Research shows personalization can increase ROI on marketing investments five to eight times and boost sales by 10%. Customers are willing to share personal details if it benefits them through more personalized experiences.
Content intelligence for Financial Services idio Ltd
Customers have lost trust in financial services providers and are dissatisfied with a lack of personalized advice. They are demanding more transparent and tailored relationships, and are moving to disruptive competitors that provide seamless digital experiences and personalized advice using data analytics. Content intelligence platforms analyze customer content consumption to build financial interest profiles, predict customer needs, and recommend relevant content to improve the customer experience. This allows financial institutions to deliver proactive, personalized advice across digital channels.
Stories are more effective than data alone at communicating information and persuading others. Stories add context and structure to data, making it more engaging, memorable and easy to understand. By connecting data to real-world scenarios and people's experiences, stories strengthen communication of data and make the information more persuasive. Marketers in particular can use data storytelling to increase their power of persuasion when securing budget by explaining how their ideas and campaigns will help achieve business goals.
A powerful data-driven narrative opens up new perspectives and concepts within the minds of those who read it by strategically utilizing narrative, data analysis, data visualization, and storytelling techniques.
In today's data-driven world, data visualization plays a pivotal role in conveying complex information, making it accessible and understandable to a broad audience. Whether in the context of business, science, journalism, or academia, data visualization is a powerful tool that helps storytellers convey their messages effectively. In this essay, we will explore the role of data visualization in storytelling with data, highlighting its significance, benefits, and best practices.
Data Visualization & Why it is Important in Your BusinessDigital Dialogue
Numbers can be powerful, but interpreting and using them effectively can be challenging for many people. This is where data visualization comes into play. By creating clear and concise visual representations of data, you can help your employees and clients better understand your business and the insights it offers.
Business success through data driven insightsJeffrey Evans
This document discusses how businesses can leverage customer data to gain insights and succeed. It provides the following key points:
1. Businesses need a clearly defined data strategy aligned with business objectives to effectively use customer data. This includes having analytical skills both internally and accessing external expertise.
2. Data has become a primary tool for understanding customers, their needs, and predicting demand. However, many businesses have not optimized their data strategy and implementation.
3. Successful data-driven businesses have the right mix of internal and external resources, including data analysts with commercial and analytical skills connected to business goals. Leadership influences the organization to effectively infuse data-driven insights.
The Ultimate Data-Driven Marketing Survival GuideDaniel Robinson
Venturing into the thick forests of marketing and advertising can sometimes be daunting, the forest grows ever more complex, the skills needed to navigate your way more rigorous.
The lifeline that leads your way, which shines like the lighthouse beam on a stormy sea; DATA…
Data is critical to your survival and your ability to thrive in this harsh environment.
Your data strategy is the shelter and warmth that will provide protection and cover during your quest.
Data relating to content is your nourishment, the food and water that feeds your journey.
Your analytics data is your compass and your navigation mechanism, allowing you to know you are on track and enabling you to alter your course if you are being led astray.
You need tools and equipment for your journey and the technology you take with you can make all the difference – without a good knife where would we be…
And of course your magic key of data activation, it unlocks the value in your kit and lets you develop insight that will lead you to your destination.
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The Ultimate Data-Driven Marketing Survival GuideDaniel Robinson
Data is critical to your survival and your ability to thrive in this harsh environment.
Your data strategy is the shelter and warmth that will provide protection and cover during your quest.
Data relating to content is your nourishment, the food and water that feeds your journey.
Your analytics data is your compass and your navigation mechanism, allowing you to know you are on track and enabling you to alter your course if you are being led astray.
You need tools and equipment for your journey and the technology you take with you can make all the difference – without a good knife where would we be…
And of course your magic key of data activation, it unlocks the value in your kit and lets you develop insight that will lead you to your destination.
So to help you weary travellers along your quest, to arm you with the best advantage and invigorate you with knowledge, ADMA are happy to share with you the DATA SURVIVAL GUIDE; everything you need to succeed. Produced in conjunction with the valiant speakers coming to you at ADMA Data Day in Sydney on the 27th April and Melbourne on the 29th April where more secrets will be revealed…
Data analysis has transformed the way organizations and individuals make decisions. As the volume of data continues to grow exponentially, the need for data-driven insights has become increasingly critical. However, raw data, no matter how extensive, can often be overwhelming and challenging to interpret. This is where the concept of data storytelling comes into play. In this comprehensive exploration, we will delve into the essence of data storytelling, its significance in data analysis, the key elements that constitute an effective data story, and practical tips for implementing data storytelling techniques.
Customer intelligence platform - Maximum Capabilities of Your DataNaully Nicolas
"The reality of the battlefield is that you don't study it. We just do what we can to apply what we know. Therefore, to do a little, you have to know a lot and well" - Marshal Foch
Customer Intelligence will dominate the new decade (new intelligence solutions are being built every day such as Oracle, SAS, IBM or data clean rooms), as brands develop more sophisticated machine learning models and proprietary algorithms to extract insights, information about their customers and their future behaviors, and make the best marketing decisions in real-time. Since Consumer Intelligence is at the heart of every smart marketing decision, what are the options for marketers to truly understand their customers and their behaviors?
Thinking Small: Bringing the Power of Big Data to the MassesFlutterbyBarb
Thinking Small: Bringing the Power of Big Data to the Masses via Adobe with the results of improved access to insights, better user experiences, and greater productivity in the enterprise.
This document discusses how data science can help solve problems in marketing. It provides examples of common marketing problems such as customer segmentation, predictive modeling, personalization, optimization, and A/B testing. It then explains how data science techniques like analyzing customer data can help companies develop more effective marketing strategies by providing insights into customer behavior and preferences. Specifically, data science allows companies to identify customer segments, predict future behaviors, deliver personalized messages, maximize marketing efforts, and test strategies. Overall, the document argues that data science is a useful tool for marketing because it can help companies make more informed decisions by analyzing customer data.
Analytical Storytelling: From Insight to ActionCognizant
1) Analytical storytelling is the process of using data-driven narratives to inspire meaningful decision-making and organizational change. It bridges the gap between insights from data analysis and taking action.
2) Traditional "gut-based" decision making is not optimal, as executives often do not leverage data insights sufficiently. Analytical storytelling applies principles of storytelling and data journalism to connect with stakeholders and motivate behavior change.
3) The document provides an example of how analytical storytelling was used to transform an insurance company's analytics practices and drive organizational change, shifting from a reactive to proactive, insights-driven culture. Segmented communications addressed different stakeholder groups effectively.
Data storytelling connects two worlds, As a result, storytelling is fast becoming the most effective way to reach people. Storytelling is the new way to get consumers and the answers they need about you and your business. It's also becoming a vital element of a strong campaign, and stories are a proven medium for teaching, explaining, and influencing. Data storytelling is a communication technique that uses data as the guiding source. For more just check it out this presentation, and you will get best ideas from it. For more email us on info@nds.group
Why does telling a story with your data matters Explain the impo.docxfranknwest27899
Why does telling a story with your data matters? Explain the importance of accurate data in today's business environment.
Data Storytelling: What It Is, Why It Matters
Telling a compelling story with your data helps you get your point across effectively. Here are four tips to keep your data from getting lost in translation.
8 Non-Tech Skills IT Pros Need To Succeed
(Click image for larger view and slideshow.)
Organizations can do a lot more with their data if they understand it better than they do. While businesses continue to invest dollars in business intelligence (BI) and analytics tools, they aren't necessarily getting the information they need to improve business decision-making.
Data visualizations
help by transforming complex information into something easier to understand. However, two people can interpret the same data visualization differently. Notably, data visualizations tend to answer "what" questions, but they don't tend to explain the "why," or provide other contextual information. Data storytelling does exactly that.
"Data storytelling weaves data and visualizations into a narrative tailored to a specific audience in order to convey credibility in the analytical approach, confidence in the results, and a compelling set of insights that is actionable to the audience." said Ryan Fuller, general manager at Microsoft and former CEO and cofounder of enterprise analytics company VoloMetrix, in an interview. "The narrative is the key vehicle to convey insights, and the visualizations are important proof points to back up the narrative."
Executives, managers, and employees have always told stories as part of their everyday work experience, but they are increasingly being required to use data to support their points of view, claims, and recommendations. The danger, of course, is data can be tortured into saying almost anything.
"One of the biggest mistakes is trying to fit the data to the story, which often results in a jumbled narrative that doesn't arrive at a compelling conclusion," said Francois Ajenstat, VP of product development at BI and analytics solution provider
Tableau
, in an interview. "Always start with the data, then build your story around it, rather than vice versa."
After speaking with experts in data science and analytics, we've developed the following four tips to help guide your data storytelling.
1. General Storytelling Rules Apply
Effective data storytelling is a lot like storytelling generally. The data story should have a beginning, a middle, and an end. It should also include a thesis (or a hypothesis), supporting facts (data), a logical structure, and a compelling presentation. Yet, all too often, those responsible for analyzing data are unable to present it in a way that's meaningful to the audience.
"A common mistake is spending too much time on the technical aspect or methodology and not providing much creativity in pointing out how the data can help the business," said David Liebskind, VP of anal.
XtremeLogics provides a solution for real-time social media monitoring and data categorization. Their platform automatically categorizes social media data to transform it into useful information for applications. It can answer questions about customer satisfaction and interest in programs. The platform extracts data from sources like Twitter, Facebook, and LinkedIn and performs sentiment analysis, behavioral mapping, and parameterization.
Using big data allows companies to personalize marketing and increase customer loyalty and spending. Research shows personalization can increase ROI on marketing investments five to eight times and boost sales by 10%. Customers are willing to share personal details if it benefits them through more personalized experiences.
Content intelligence for Financial Services idio Ltd
Customers have lost trust in financial services providers and are dissatisfied with a lack of personalized advice. They are demanding more transparent and tailored relationships, and are moving to disruptive competitors that provide seamless digital experiences and personalized advice using data analytics. Content intelligence platforms analyze customer content consumption to build financial interest profiles, predict customer needs, and recommend relevant content to improve the customer experience. This allows financial institutions to deliver proactive, personalized advice across digital channels.
Stories are more effective than data alone at communicating information and persuading others. Stories add context and structure to data, making it more engaging, memorable and easy to understand. By connecting data to real-world scenarios and people's experiences, stories strengthen communication of data and make the information more persuasive. Marketers in particular can use data storytelling to increase their power of persuasion when securing budget by explaining how their ideas and campaigns will help achieve business goals.
A powerful data-driven narrative opens up new perspectives and concepts within the minds of those who read it by strategically utilizing narrative, data analysis, data visualization, and storytelling techniques.
In today's data-driven world, data visualization plays a pivotal role in conveying complex information, making it accessible and understandable to a broad audience. Whether in the context of business, science, journalism, or academia, data visualization is a powerful tool that helps storytellers convey their messages effectively. In this essay, we will explore the role of data visualization in storytelling with data, highlighting its significance, benefits, and best practices.
Data Visualization & Why it is Important in Your BusinessDigital Dialogue
Numbers can be powerful, but interpreting and using them effectively can be challenging for many people. This is where data visualization comes into play. By creating clear and concise visual representations of data, you can help your employees and clients better understand your business and the insights it offers.
Business success through data driven insightsJeffrey Evans
This document discusses how businesses can leverage customer data to gain insights and succeed. It provides the following key points:
1. Businesses need a clearly defined data strategy aligned with business objectives to effectively use customer data. This includes having analytical skills both internally and accessing external expertise.
2. Data has become a primary tool for understanding customers, their needs, and predicting demand. However, many businesses have not optimized their data strategy and implementation.
3. Successful data-driven businesses have the right mix of internal and external resources, including data analysts with commercial and analytical skills connected to business goals. Leadership influences the organization to effectively infuse data-driven insights.
The Ultimate Data-Driven Marketing Survival GuideDaniel Robinson
Venturing into the thick forests of marketing and advertising can sometimes be daunting, the forest grows ever more complex, the skills needed to navigate your way more rigorous.
The lifeline that leads your way, which shines like the lighthouse beam on a stormy sea; DATA…
Data is critical to your survival and your ability to thrive in this harsh environment.
Your data strategy is the shelter and warmth that will provide protection and cover during your quest.
Data relating to content is your nourishment, the food and water that feeds your journey.
Your analytics data is your compass and your navigation mechanism, allowing you to know you are on track and enabling you to alter your course if you are being led astray.
You need tools and equipment for your journey and the technology you take with you can make all the difference – without a good knife where would we be…
And of course your magic key of data activation, it unlocks the value in your kit and lets you develop insight that will lead you to your destination.
So to help you weary travellers along your quest, to arm you with the best advantage and invigorate you with knowledge, ADMA are happy to share with you the DATA SURVIVAL GUIDE; everything you need to succeed. Produced in conjunction with the valiant speakers coming to you at ADMA Data Day in Sydney on the 27th April and Melbourne on the 29th April where more secrets will be revealed…
The Ultimate Data-Driven Marketing Survival GuideDaniel Robinson
Data is critical to your survival and your ability to thrive in this harsh environment.
Your data strategy is the shelter and warmth that will provide protection and cover during your quest.
Data relating to content is your nourishment, the food and water that feeds your journey.
Your analytics data is your compass and your navigation mechanism, allowing you to know you are on track and enabling you to alter your course if you are being led astray.
You need tools and equipment for your journey and the technology you take with you can make all the difference – without a good knife where would we be…
And of course your magic key of data activation, it unlocks the value in your kit and lets you develop insight that will lead you to your destination.
So to help you weary travellers along your quest, to arm you with the best advantage and invigorate you with knowledge, ADMA are happy to share with you the DATA SURVIVAL GUIDE; everything you need to succeed. Produced in conjunction with the valiant speakers coming to you at ADMA Data Day in Sydney on the 27th April and Melbourne on the 29th April where more secrets will be revealed…
Data analysis has transformed the way organizations and individuals make decisions. As the volume of data continues to grow exponentially, the need for data-driven insights has become increasingly critical. However, raw data, no matter how extensive, can often be overwhelming and challenging to interpret. This is where the concept of data storytelling comes into play. In this comprehensive exploration, we will delve into the essence of data storytelling, its significance in data analysis, the key elements that constitute an effective data story, and practical tips for implementing data storytelling techniques.
Customer intelligence platform - Maximum Capabilities of Your DataNaully Nicolas
"The reality of the battlefield is that you don't study it. We just do what we can to apply what we know. Therefore, to do a little, you have to know a lot and well" - Marshal Foch
Customer Intelligence will dominate the new decade (new intelligence solutions are being built every day such as Oracle, SAS, IBM or data clean rooms), as brands develop more sophisticated machine learning models and proprietary algorithms to extract insights, information about their customers and their future behaviors, and make the best marketing decisions in real-time. Since Consumer Intelligence is at the heart of every smart marketing decision, what are the options for marketers to truly understand their customers and their behaviors?
Thinking Small: Bringing the Power of Big Data to the MassesFlutterbyBarb
Thinking Small: Bringing the Power of Big Data to the Masses via Adobe with the results of improved access to insights, better user experiences, and greater productivity in the enterprise.
This document discusses how data science can help solve problems in marketing. It provides examples of common marketing problems such as customer segmentation, predictive modeling, personalization, optimization, and A/B testing. It then explains how data science techniques like analyzing customer data can help companies develop more effective marketing strategies by providing insights into customer behavior and preferences. Specifically, data science allows companies to identify customer segments, predict future behaviors, deliver personalized messages, maximize marketing efforts, and test strategies. Overall, the document argues that data science is a useful tool for marketing because it can help companies make more informed decisions by analyzing customer data.
Analytical Storytelling: From Insight to ActionCognizant
1) Analytical storytelling is the process of using data-driven narratives to inspire meaningful decision-making and organizational change. It bridges the gap between insights from data analysis and taking action.
2) Traditional "gut-based" decision making is not optimal, as executives often do not leverage data insights sufficiently. Analytical storytelling applies principles of storytelling and data journalism to connect with stakeholders and motivate behavior change.
3) The document provides an example of how analytical storytelling was used to transform an insurance company's analytics practices and drive organizational change, shifting from a reactive to proactive, insights-driven culture. Segmented communications addressed different stakeholder groups effectively.
Data storytelling connects two worlds, As a result, storytelling is fast becoming the most effective way to reach people. Storytelling is the new way to get consumers and the answers they need about you and your business. It's also becoming a vital element of a strong campaign, and stories are a proven medium for teaching, explaining, and influencing. Data storytelling is a communication technique that uses data as the guiding source. For more just check it out this presentation, and you will get best ideas from it. For more email us on info@nds.group
Why does telling a story with your data matters Explain the impo.docxfranknwest27899
Why does telling a story with your data matters? Explain the importance of accurate data in today's business environment.
Data Storytelling: What It Is, Why It Matters
Telling a compelling story with your data helps you get your point across effectively. Here are four tips to keep your data from getting lost in translation.
8 Non-Tech Skills IT Pros Need To Succeed
(Click image for larger view and slideshow.)
Organizations can do a lot more with their data if they understand it better than they do. While businesses continue to invest dollars in business intelligence (BI) and analytics tools, they aren't necessarily getting the information they need to improve business decision-making.
Data visualizations
help by transforming complex information into something easier to understand. However, two people can interpret the same data visualization differently. Notably, data visualizations tend to answer "what" questions, but they don't tend to explain the "why," or provide other contextual information. Data storytelling does exactly that.
"Data storytelling weaves data and visualizations into a narrative tailored to a specific audience in order to convey credibility in the analytical approach, confidence in the results, and a compelling set of insights that is actionable to the audience." said Ryan Fuller, general manager at Microsoft and former CEO and cofounder of enterprise analytics company VoloMetrix, in an interview. "The narrative is the key vehicle to convey insights, and the visualizations are important proof points to back up the narrative."
Executives, managers, and employees have always told stories as part of their everyday work experience, but they are increasingly being required to use data to support their points of view, claims, and recommendations. The danger, of course, is data can be tortured into saying almost anything.
"One of the biggest mistakes is trying to fit the data to the story, which often results in a jumbled narrative that doesn't arrive at a compelling conclusion," said Francois Ajenstat, VP of product development at BI and analytics solution provider
Tableau
, in an interview. "Always start with the data, then build your story around it, rather than vice versa."
After speaking with experts in data science and analytics, we've developed the following four tips to help guide your data storytelling.
1. General Storytelling Rules Apply
Effective data storytelling is a lot like storytelling generally. The data story should have a beginning, a middle, and an end. It should also include a thesis (or a hypothesis), supporting facts (data), a logical structure, and a compelling presentation. Yet, all too often, those responsible for analyzing data are unable to present it in a way that's meaningful to the audience.
"A common mistake is spending too much time on the technical aspect or methodology and not providing much creativity in pointing out how the data can help the business," said David Liebskind, VP of anal.
Data Storytelling: The only way to unlock true insight from your dataBright North
Data visualisation is failing. Many businesses are relying on tools like Excel and PowerPoint to deliver an engaging data story without first establishing the plot. Bright North's latest whitepaper explains why Data Storytelling is the only way to unlock true insight from your data and lists five steps you can take to give your data story a happy ending.
The 7 Essentials of Successful Health Economic CommunicationCovance
In an era of continued pressure on healthcare budgets, the role of health economic data has never been more important. Yet the contribution these data make to rational decision-making can be undermined by incomprehension, skepticism and even hostility from outsiders - including colleagues, commentators and healthcare decision-makers. What steps can be taken to address the problem?
What is Data Visualization: A Comprehensive GuideLucy Zeniffer
What is Data Visualization: A Comprehensive Guide" offers a concise exploration of the fundamental concepts and techniques behind visualizing data. From charts and graphs to interactive dashboards, this guide illuminates how data visualization enhances understanding and decision-making across various domains. Dive into the art and science of transforming raw data into insightful visuals.
The document discusses using data visualization to drive collaboration and quality improvement. It argues that while spreadsheets are useful for optimization problems, visualizing data in infographic style allows stakeholders to have more constructive conversations. The document presents an example from West Corporation called CEEQ (Comprehensive End to End Quality) scoring, which visualizes software quality metrics. CEEQ scoring frames discussions around overall success and quality rather than isolating individual metrics, and provides nuanced insights to identify improvement opportunities.
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Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
CAKE: Sharing Slices of Confidential Data on BlockchainClaudio Di Ciccio
Presented at the CAiSE 2024 Forum, Intelligent Information Systems, June 6th, Limassol, Cyprus.
Synopsis: Cooperative information systems typically involve various entities in a collaborative process within a distributed environment. Blockchain technology offers a mechanism for automating such processes, even when only partial trust exists among participants. The data stored on the blockchain is replicated across all nodes in the network, ensuring accessibility to all participants. While this aspect facilitates traceability, integrity, and persistence, it poses challenges for adopting public blockchains in enterprise settings due to confidentiality issues. In this paper, we present a software tool named Control Access via Key Encryption (CAKE), designed to ensure data confidentiality in scenarios involving public blockchains. After outlining its core components and functionalities, we showcase the application of CAKE in the context of a real-world cyber-security project within the logistics domain.
Paper: https://doi.org/10.1007/978-3-031-61000-4_16
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
2. 1. Stories make data meaningful
Stories bridge the gap
between data science,
analytics, and your audience.
Whether that audience includes
consumers, potential partners
or investors, a narrative
takeaway is essential to convey
how your product or service will
solve a particular need.
3. Stories tell to sell
The goal of analytics is often to change
how someone makes a decision or takes
an action. A story can convey how to get
from point A to B more clearly than raw
data can—think of it like giving someone a
map instead of just a set of coordinates.
By showing the destination and how to get
there, you are able provide a bridge
between raw data and the users who
stand to benefit from it.
4. While raw data can be complex and hard to process, putting it
in the context of a story boils it down to simple, memorable
truths. Data analytics can be too complex for the average
audience to digest. Instead, frame those figures in an
engaging narrative, and the message will be received loud and
clear.
Negotiation & Closing
5. Stories crystalize
takeaways
Investors are not necessarily
interested in complex data analysis,
but rather in the takeaways that
speak to a company’s future health.
Similarly, consumers don’t care
about the back end analytics behind
your app; they are interested in how
your service can improve their own
life in a real and meaningful way.
Use data storytelling to put into
context the problem that your
product solves.