- Visual discovery tools have been partially or fully deployed in 58% of organizations surveyed, with 39% having enterprise-wide deployments.
- The most common vendors of visual discovery tools used are Tableau (53%), Microsoft (35%), and QlikTech (30%).
- Most organizations plan to expand their deployment of visual discovery tools in the future (84%), while only 13% plan to maintain at current levels.
- The top benefits of visual discovery tools over other BI tools according to users are better visualization (78%) and easier use (77%).
TDWI Boston Keynote - The New BI/Analytics Synergy - 7 30-2015 - tdwi keynoteEckerson Group
To stay relevant in a fast-changing business and data environment, business and analytics leaders need to recognize that their teams are no longer the center of the data universe. They need to reach out and partner with other data analytics players in the organization and create a shared vision for the future. The new business analytics leader fosters a rich analytical ecosystem of people, processes and technologies that fuels a data-driven organization.
You Will Learn:
- How the data world has changed and why
- The cyclical nature of power in the data world
- Characteristics of the new analytical ecosystem
- The role of BI leaders and teams in the new world order
How a Data-Driven Culture Improves Organizational Performance Tableau Software
In the last few years, many researchers and analysts have predicted power shifts in business intelligence and analytics world. Today, self-service analytical tools are enabling information workers everywhere identify new insights and drive business performance.
In this slideshare, learn from IDC research and Amaysim BI Manager about:
Why meeting the analytical needs of business users matter to organizational performance
What’s driving leaders in APAC enterprises towards a self-service paradigm?
How to encourage adoption of analytical tools in your organization
How leading Asia Pacific enterprises such as Amaysim are adopting self-service analytics and the benefits they’ve experienced.
This slideshare came from a full webinar delivered by Tableau. You can the full length webinar at http://www.tableau.com/learn/webinars/how-analytic-culture-drives-performance-asia-pacific-organizations
Real-time Data is Changing the Face of the Insurance IndustryDataWorks Summit
The insurance industry was founded on data and yet, new data sources and the “speed” of data are entirely changing how the industry conducts its business. Real-time data used to be a foreign term for insurers but in the digital and connected world it has a significant impact on how the industry engages with customers, manages relationships, conducts core operations of risk assessments and manages claims.
Predictive analytics is the minimum table stakes to remain competitive. Preventive analytics and machine learning are on the rise to the extent they are called out and considered critical success factors in an insurance company’s business strategy. The question is, how do you prepare the organization and adjust the mindset of a business to use real-time data to better serve customers whether individuals or companies?
During this interactive session insurance industry leaders will discuss a variety of topics, including:
· how business data strategies are changing
· filling the skills gap
· value of open data sources and incorporating machine learning
In an age where the insurer must be founded on machine learning and advanced analytics, you’ll hear from the leaders who have a grasp on the opportunities, as well as how to avoid and/or prepare for the bumps along the way
Speakers for this Session:
1. Cindy Maike
2. Denise Rogers
3. Naresh Mudunuru
TDWI Boston Keynote - The New BI/Analytics Synergy - 7 30-2015 - tdwi keynoteEckerson Group
To stay relevant in a fast-changing business and data environment, business and analytics leaders need to recognize that their teams are no longer the center of the data universe. They need to reach out and partner with other data analytics players in the organization and create a shared vision for the future. The new business analytics leader fosters a rich analytical ecosystem of people, processes and technologies that fuels a data-driven organization.
You Will Learn:
- How the data world has changed and why
- The cyclical nature of power in the data world
- Characteristics of the new analytical ecosystem
- The role of BI leaders and teams in the new world order
How a Data-Driven Culture Improves Organizational Performance Tableau Software
In the last few years, many researchers and analysts have predicted power shifts in business intelligence and analytics world. Today, self-service analytical tools are enabling information workers everywhere identify new insights and drive business performance.
In this slideshare, learn from IDC research and Amaysim BI Manager about:
Why meeting the analytical needs of business users matter to organizational performance
What’s driving leaders in APAC enterprises towards a self-service paradigm?
How to encourage adoption of analytical tools in your organization
How leading Asia Pacific enterprises such as Amaysim are adopting self-service analytics and the benefits they’ve experienced.
This slideshare came from a full webinar delivered by Tableau. You can the full length webinar at http://www.tableau.com/learn/webinars/how-analytic-culture-drives-performance-asia-pacific-organizations
Real-time Data is Changing the Face of the Insurance IndustryDataWorks Summit
The insurance industry was founded on data and yet, new data sources and the “speed” of data are entirely changing how the industry conducts its business. Real-time data used to be a foreign term for insurers but in the digital and connected world it has a significant impact on how the industry engages with customers, manages relationships, conducts core operations of risk assessments and manages claims.
Predictive analytics is the minimum table stakes to remain competitive. Preventive analytics and machine learning are on the rise to the extent they are called out and considered critical success factors in an insurance company’s business strategy. The question is, how do you prepare the organization and adjust the mindset of a business to use real-time data to better serve customers whether individuals or companies?
During this interactive session insurance industry leaders will discuss a variety of topics, including:
· how business data strategies are changing
· filling the skills gap
· value of open data sources and incorporating machine learning
In an age where the insurer must be founded on machine learning and advanced analytics, you’ll hear from the leaders who have a grasp on the opportunities, as well as how to avoid and/or prepare for the bumps along the way
Speakers for this Session:
1. Cindy Maike
2. Denise Rogers
3. Naresh Mudunuru
DEJ's AIOps research study titled - Strategies of Top Performing Organizations in Deploying AIOps is based on insights from 1,100+ organizations (721 of them using AIOps capabilities).
How to Use Open Source Technologies in Safety-critical Medical Device PlatformsShahid Shah
There is a great deal of fear and angst in the medical device vendor community about the use open source in safety-critical products. This presentation provides advice on why the fear is misplaced and how to proceed with using open source in safety-critical medical devices.
Mendix and David Stephenson share insight to help IT leaders define their organization’s incremental IoT strategy. Discover a framework for setting your IoT vision and enabling rapid experimentation to deliver quick wins while paving the way for more significant innovations.
Supply Chain Intelligence and Analytics Executive Guidelines for SuccessHalo BI
Learn from industry experts about the future of supply chain analytics in 2016. Understand the main concerns of executives in the coming year and where the focus will be across the entire supply chain.
This 66-page guide goes over everything you need to know about embedded analytics - targeted for software executives and product managers looking to build product value with embedded analytics. Learn more at www.logianalytics.com.
There is little arguing the benefits and disruptive potential of Big Data. However, many organizations have not fully embedded Big Data in their operations. In fact, our research shows that only 13% have achieved full-scale production for their Big Data implementations. The most troubling development is that most organizations are failing to benefit from their investments. Only 27% of respondents described their Big Data initiatives as “successful” and only 8% described them as “very successful”.
The Big Picture: Real-time Data is Defining Intelligent OffersCloudera, Inc.
New research shows that 57% of the buying cycle is completed before a prospect even speaks to a company. Marketers already know this, Ninety-six percent (96%) of organizations believe that email personalization can improve email marketing performance. But where do we get this increasingly personal direction? The answer is likely in your customer data. In order to understand your customer needs contextualized in the moment they feel the need to act you will require a platform that can leverage real-time data. Apache Kudu is a Cloudera component that makes dealing with quickly changing data fast and easy. Companies are leveraging next generation data stores like Kudu to build data applications that deliver smart promotions, real-time offers, and personalized marketing. Join us as we discuss modern approaches to real-time application development and highlight key Cloudera use cases being powered by Cloudera’s operational database.
Data Driven Decisions - Big Data Warehousing Meetup, FICOCaserta
Predictive analytics has always been about the future, and the age of big data has made that future an increasingly dynamic place, filled with opportunity and risk.
The evolution of advanced analytics technologies and the continual development of new analytical methodologies can help to optimize financial results, enable systems and services based on machine learning, obviate or mitigate fraud and reduce cybersecurity risks, among many other things.
Caserta Concepts, Zementis, and guest speaker from FICO presented the strategies, technologies and use cases driving predictive analytics in a big data environment.
For more information, visit www.casertaconcepts.com or contact us at info@casertaconcepts.com
Observability is the most important capability needed to manage the development, deployment, and operation of modern systems.
These slides—based on the webinar with EMA Research and LightStep--explore the importance of observability and how to address this capability for complex systems.
These slides—based on the webinar featuring John L Myers, managing research director for data and analytics at leading IT analyst firm Enterprise Management Associates (EMA), and Neil Barton, chief technology officer at WhereScape—highlight how the world of streaming data pipelines and automation practices for analytical environments intersect to provide value to both business stakeholders and corporate technologists.
View these slides to learn about:
- Drivers behind the growth of streaming usage scenarios
- Challenges that streaming data presents
- Value of automation techniques and technologies
- Benefits of applying automation to streaming data pipelines
- How WhereScape® automation with Streaming can fast-track streaming data use in your data landscape
Moving from data to insights: How to effectively drive business decisions & g...Cloudera, Inc.
Firms have become obsessed with data. But the key to competitive advantage is not just more or bigger data or big data technology, it is finding actionable insights from all the data as well as embedding insight in processes and applications. This requires a change in your approach - modernized architecture and embedding insights and data in you business decisions It also requires a change in how your people work systematically to find, test and implement insights. In this webinar, Forrester Vice President and Principal Analyst Brian Hopkins will present results from two years of research into these ideas and recommend to attendees how they can get the most out of their data and analytics to drive effective business decisions and gain competitive advantage.
Transforming How Sponsors and CROs Interact with Clinical SitesPerficient, Inc.
Clinical trials are expensive. With the constraints of quality and compliance, the only way to reduce costs is to make trial operations more efficient. When study sponsors are able to automate workflows and efficiently exchange information, documents, queries, and supplies with their clinical sites, good things happen: confusion and errors are minimized, relationships with investigators and site personnel improve, and overhead costs plummet.
In this SlideShare, we discuss how organizations can use strategy, technology, and design to reduce clinical trial costs while improving quality and compliance.
This presentation was delivered by Julie Craig, Research Director of Enterprise Management Associates (EMA) and Kalyan Ramanathan, VP, Product Marketing AppDynamics in a webinar. Julie reveals the results of a recently conducted EMA survey of 300+ IT professionals highlighting the real-world impact of Franken-monitoring.
On-demand webinar is available at: bit.ly/Franken-Monitoring
Learn statistics and expert opinions on the state of the market regarding data quality in 2023.
Learn about:
- statistics and expert opinions
- the key focus of data quality in 2023
- the Data Maturity Model
- DevOps for data and CI/CD pipelines
- data validation and ETL testing
- test automation
DEJ's AIOps research study titled - Strategies of Top Performing Organizations in Deploying AIOps is based on insights from 1,100+ organizations (721 of them using AIOps capabilities).
How to Use Open Source Technologies in Safety-critical Medical Device PlatformsShahid Shah
There is a great deal of fear and angst in the medical device vendor community about the use open source in safety-critical products. This presentation provides advice on why the fear is misplaced and how to proceed with using open source in safety-critical medical devices.
Mendix and David Stephenson share insight to help IT leaders define their organization’s incremental IoT strategy. Discover a framework for setting your IoT vision and enabling rapid experimentation to deliver quick wins while paving the way for more significant innovations.
Supply Chain Intelligence and Analytics Executive Guidelines for SuccessHalo BI
Learn from industry experts about the future of supply chain analytics in 2016. Understand the main concerns of executives in the coming year and where the focus will be across the entire supply chain.
This 66-page guide goes over everything you need to know about embedded analytics - targeted for software executives and product managers looking to build product value with embedded analytics. Learn more at www.logianalytics.com.
There is little arguing the benefits and disruptive potential of Big Data. However, many organizations have not fully embedded Big Data in their operations. In fact, our research shows that only 13% have achieved full-scale production for their Big Data implementations. The most troubling development is that most organizations are failing to benefit from their investments. Only 27% of respondents described their Big Data initiatives as “successful” and only 8% described them as “very successful”.
The Big Picture: Real-time Data is Defining Intelligent OffersCloudera, Inc.
New research shows that 57% of the buying cycle is completed before a prospect even speaks to a company. Marketers already know this, Ninety-six percent (96%) of organizations believe that email personalization can improve email marketing performance. But where do we get this increasingly personal direction? The answer is likely in your customer data. In order to understand your customer needs contextualized in the moment they feel the need to act you will require a platform that can leverage real-time data. Apache Kudu is a Cloudera component that makes dealing with quickly changing data fast and easy. Companies are leveraging next generation data stores like Kudu to build data applications that deliver smart promotions, real-time offers, and personalized marketing. Join us as we discuss modern approaches to real-time application development and highlight key Cloudera use cases being powered by Cloudera’s operational database.
Data Driven Decisions - Big Data Warehousing Meetup, FICOCaserta
Predictive analytics has always been about the future, and the age of big data has made that future an increasingly dynamic place, filled with opportunity and risk.
The evolution of advanced analytics technologies and the continual development of new analytical methodologies can help to optimize financial results, enable systems and services based on machine learning, obviate or mitigate fraud and reduce cybersecurity risks, among many other things.
Caserta Concepts, Zementis, and guest speaker from FICO presented the strategies, technologies and use cases driving predictive analytics in a big data environment.
For more information, visit www.casertaconcepts.com or contact us at info@casertaconcepts.com
Observability is the most important capability needed to manage the development, deployment, and operation of modern systems.
These slides—based on the webinar with EMA Research and LightStep--explore the importance of observability and how to address this capability for complex systems.
These slides—based on the webinar featuring John L Myers, managing research director for data and analytics at leading IT analyst firm Enterprise Management Associates (EMA), and Neil Barton, chief technology officer at WhereScape—highlight how the world of streaming data pipelines and automation practices for analytical environments intersect to provide value to both business stakeholders and corporate technologists.
View these slides to learn about:
- Drivers behind the growth of streaming usage scenarios
- Challenges that streaming data presents
- Value of automation techniques and technologies
- Benefits of applying automation to streaming data pipelines
- How WhereScape® automation with Streaming can fast-track streaming data use in your data landscape
Moving from data to insights: How to effectively drive business decisions & g...Cloudera, Inc.
Firms have become obsessed with data. But the key to competitive advantage is not just more or bigger data or big data technology, it is finding actionable insights from all the data as well as embedding insight in processes and applications. This requires a change in your approach - modernized architecture and embedding insights and data in you business decisions It also requires a change in how your people work systematically to find, test and implement insights. In this webinar, Forrester Vice President and Principal Analyst Brian Hopkins will present results from two years of research into these ideas and recommend to attendees how they can get the most out of their data and analytics to drive effective business decisions and gain competitive advantage.
Transforming How Sponsors and CROs Interact with Clinical SitesPerficient, Inc.
Clinical trials are expensive. With the constraints of quality and compliance, the only way to reduce costs is to make trial operations more efficient. When study sponsors are able to automate workflows and efficiently exchange information, documents, queries, and supplies with their clinical sites, good things happen: confusion and errors are minimized, relationships with investigators and site personnel improve, and overhead costs plummet.
In this SlideShare, we discuss how organizations can use strategy, technology, and design to reduce clinical trial costs while improving quality and compliance.
This presentation was delivered by Julie Craig, Research Director of Enterprise Management Associates (EMA) and Kalyan Ramanathan, VP, Product Marketing AppDynamics in a webinar. Julie reveals the results of a recently conducted EMA survey of 300+ IT professionals highlighting the real-world impact of Franken-monitoring.
On-demand webinar is available at: bit.ly/Franken-Monitoring
Learn statistics and expert opinions on the state of the market regarding data quality in 2023.
Learn about:
- statistics and expert opinions
- the key focus of data quality in 2023
- the Data Maturity Model
- DevOps for data and CI/CD pipelines
- data validation and ETL testing
- test automation
Data Trends for 2019: Extracting Value from DataPrecisely
To get the most business value from data, you need to keep up with the latest tech trends – or do you?
View this webinar on-demand as we share the results from our 2019 Data Trends Survey! We'll reveal what organizations around the world are really up to at the intersection of technology, big data and business.
Key topics include:
• Business initiatives getting the most IT support in 2019
• Highest-priority IT initiatives
• Tech adoption rates, benefits and challenges
IT Executive Survey: Strategies for Monitoring IT Infrastructure & ServicesCA Technologies
This slide deck summarizes results from a survey to uncover key challenges IT executives face in monitoring IT Infrastructure & services. 47% of the respondents use more than 5 IT monitoring tools to monitor their IT infrastructure, while scalability and the pain of jumping from one monitoring tool to the other were one of key challenges mentioned. Learn more about CA Nimsoft Monitor Snap at http://www.ca.com/snap
The world around us is changing. Data is embedded in everything, and users from all lines of business want to leverage this data to influence decisions. The trick is to create a culture for pervasive analytics and empower the business to use data everywhere.
The core enabling technology to make this happen is Apache Hadoop. By leveraging Hadoop, organizations of all sizes and across all industries are making business models more predictable, and creating significant competitive advantages using big data.
Join Cloudera and Forrester to learn:
- What we mean by pervasive analytics, how it impacts your organization, and how to get started
- How leading organizations are using pervasive analytics for competitive advantage
- How Cloudera’s extensive partner ecosystem complements your strategy, helping deliver results faster
Workload automation (WLA) software is one of the critical tools required to run an effective IT operation.
These slides—based on the webinar hosted by leading IT research firm EMA and Broadcom—delve into changes to the operating model for IT and benefits of automation intelligence.
5 Ways to Tighten Security with Endpoint ManagementIvanti
In a world of BYOD and rapidly expanding mobility, securing and managing endpoints is more challenging than ever. This is confirmed, along with many surprising statistics, in a recent survey conducted by analyst Enterprise Management Associates (EMA). Join us for this 60-minute webinar where security experts Jason Forsgren and Eran Livne go over report highlights and share their insights on how to best address these challenges. All webinar registrants will get a free copy of the complete EMA research report.
(BDT207) Use Streaming Analytics to Exploit Perishable Insights | AWS re:Inve...Amazon Web Services
Streaming analytics is about knowing and acting on what's happening in your business and with your customers right this second. Forrester calls these perishable insights because they occur at a moment's notice and you must act on them fast. The high velocity, whitewater flow of data from innumerable real-time data sources such as market data, internet of things, mobile, sensors, clickstream, and even transactions remain largely un-navigated by most firms. The opportunity to leverage streaming analytics has never been greater. In this session, Forrester analyst Mike Gualtieri explains the opportunity, use cases, and how to use cloud-based streaming solutions in your application architecture.
How to Plan for an xAPI Pilot at xAPI Camp DevLearn 2018 - Yet AnalyticsAllie Tscheulin
From an organization-wide executive directive to become more data-driven, a retail corporate L&D team took an internal look at their own data practices. Realizing that they had an overwhelming lack of transparency into their learning initiatives and a great amount of data that had gone unused, the team developed a transformation vision to create a single system of record for learning to enable observability, granularity, and accountability for all team members. The team was committed to the vision of xAPI; however, the data and information they needed in order to make actionable change for their learners was locked away in non-interoperable formats, and they recognized the need to develop a data strategy and implementation plan.
*Originally presented on 10/ 23/2018 at xAPI Camp during DevLearn 2018 by Allie Tscheulin
How to Plan for Your xAPI Pilot - xAPI Camp at DevLearn 2018 - Yet Analytics Margaret Roth
From an organization-wide executive directive to become more data-driven, a retail corporate L&D team took an internal look at their own data practices. Realizing that they had an overwhelming lack of transparency into their learning initiatives and a great amount of data that had gone unused, the team developed a transformation vision to create a single system of record for learning to enable observability, granularity, and accountability for all team members. The team was committed to the vision of xAPI; however, the data and information they needed in order to make actionable change for their learners was locked away in non-interoperable formats, and they recognized the need to develop a data strategy and implementation plan.
*Originally presented on 10/23/2018 at xAPI Camp during DevLearn 2018 by Allie Tscheulin
Conversation Management becomes increasingly important, also in BtoB. Online listening is the first step. What is it? How can it be organised? More information? jo.heirman@proximity.bbdo.be
2023 Survey Review: State Of Marketing Data Standards In The AI EraSearch Engine Journal
Claravine and Advertiser Perceptions surveyed 140 marketers and agencies to better understand the impact of data standards on marketing data, and they’re ready to present their findings.
Want to learn how you can mitigate privacy risks and boost ROI through data standards?
Watch and learn how companies are addressing new privacy laws, taking advantage of AI, and organizing their data to better capture the campaign data they need, as well as how you can implement these findings in your campaigns.
In this webinar, you will:
- Gain a better understanding of how your marketing data management compares to enterprise advertisers.
- Get an overview of the current state of data standards and analytics, and how marketers are managing risk while improving the ROI of their programs.
- Walk away with tactics and best practices that you can use to improve your marketing data now.
Chris Comstock, Chief Growth Officer at Claravine, will show you the marketing data trends of top advertisers and the potential pitfalls that come with poor data standards.
Register and learn the key ways to level up your data strategy to pinpoint campaign success.
It’s been three years since the General Data Protection Regulation shook up how organizations manage data security and privacy, ushering in a new focus on Data Governance. But what is the state of Data Governance today?
How has it evolved? What’s its role now? Building on prior research, erwin by Quest and ESG have partnered on a new study about what’s driving the practice of Data Governance, program maturity and current challenges. It also examines the connections to data operations and data protection, which is interesting given the fact that improving data security is now the No. 1 driver of Data Governance, according to this year’s survey respondents.
So please join us for this webinar to learn about the:
Other primary drivers for enterprise Data Governance programs
Most common bottlenecks to program maturity and sustainability
Advantages of aligning Data Governance with the other data disciplines
In a post-COVID world, data has the power to be even more transformative, and 84% of business and technology professionals say it represents the best opportunity to develop a competitive advantage during the next 12 to 24 months. Let’s make sure your organization has the intelligence it needs about both data and data systems to empower stakeholders in the front and back office to do what they need to do.
The Expanding Role and Importance of Application Delivery Controllers [Resear...Radware
When it Comes to ADCs, Perception is Not Reality.
The Enterprise Strategy Group and Radware recently conducted a collaborative research project about the current use and future strategies of application delivery controllers (ADCs).
Based on a survey of 243 IT professionals, the research reveals that the role of ADCs has expanded well beyond the historical perception of hardware-based load balancers.
What’s most interesting is that ADCs are becoming a critical component of a defense-in-depth security strategy as enterprises fine-tune security policy and enforcement to align with their sensitive business applications. Organizations are also deploying ADCs as virtual appliances at an increasing rate and taking advantage of ADC functionality from the network through the application layer.
There is a lesson to be learned here: enterprise organizations can get creative with ADC deployments for performance tuning, application-specific services, and critical system protection. Read this research http://www.radware.com/social/esg-adc-research/ to understand the benefits of applying ADCs in this fashion.
Why Companies Need New Approaches for Faster Time-to-Insight SAP Asia Pacific
An IDC infographic, sponsored by SAP. Volumes and variety of data are continuing to grow. The speed of data usage is also increasing, leading to new user expectations. Given these realities, organizations need to: Sift through data to find meaning, identify risks and opportunities, and identify factors that impact future performance.
Learn about the organizational and architectural strategies needed to make self-service analytics successful. Self-service is more about process and training instead of only focusing on tools.
Download this research to read about self-service architecture in detail:https://www.eckerson.com/articles/a-reference-architecture-for-self-service-analytics
If you need help with self-service analytics, data architecture or data management, contact us on the following link: https://www.eckerson.com/consulting
Managing Data Sprawl with Data Catalogs for Self-ServiceEckerson Group
Self-service analytics tools solved one problem but created another. Now we need data catalogs and self-service data.
When you're done reading the slides, you can download our research: The Ultimate Guide to Data Catalogs https://www.eckerson.com/articles/the-ultimate-guide-to-data-catalogs-key-things-to-consider-when-selecting-a-data-catalog
We also help you choose a data catalog and teach you how to implement it across your enterprise. Contact us-https://www.eckerson.com/consulting
Effective tips for leaders in the #BI and #Analytics space who want to become better leaders.
Visit www.eckerson.com to know more about our research, education and consulting services.
In this webcast, Wayne Eckerson discusses the impact of artificial intelligence (AI) and machine (ML) learning on the finance industry, specifically how AI/ML will lead to augmented intelligence, in which man and machine collaborate to deliver optimal outcomes and decisions.
Watch the webinar on this link: https://www.youtube.com/watch?time_continue=506&v=UwBEd_m0XBs
TDWI Boston Keynote: The New BI/Analytics Synergy Eckerson Group
To stay relevant in a fast-changing business and data environment, business and analytics leaders need to recognize that their teams are no longer the center of the data universe. They need to reach out and partner with other data analytics players in the organization and create a shared vision for the future. The new business analytics leader fosters a rich analytical ecosystem of people, processes and technologies that fuels a data-driven organization.
You Will Learn:
- How the data world has changed and why
- The cyclical nature of power in the data world
- Characteristics of the new analytical ecosystem
- The role of BI leaders and teams in the new world order
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
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/
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.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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
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
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.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
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Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
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Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
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2. What is the status of visual discovery
tools in your organization?
10%
24%
18%
30%
19%
No plans
Under consideration
Under development
Partially deployed
Fully deployed
3. Which best describes the scale and scope
of your visual discovery deployments?
3%
25%
29%
39%
5%
Not deployed
Departmental
Business unit
Enterprise
Other
4. How many separate instances of visual
discovery tools exist in your organization?
2%
49%
14%
7%
10%
6%
12%
0
1 to 2
3
4 to 5
6 to 10
11 to 20
21+
5. To what degree has your organization linked
separate instances of visual discovery tools?
19%
45%
15%
20%
None - Instances are not linked; each
are islands of information
Some - Some instances share data
and definitions, but most don't
Most - Most instances share data
and definitions, but not all
All - All instances share data and
instances
6. Which data sources are accessed by
your visual discovery tools?
72%
58%
52%
49%
44%
31%
12%
10%
5%
Enterprise data warehouse
Local files (e.g. Excel)
Enterprise applications (e.g. ERP)
Departmental data mart
Departmental applications…
External data
Web services
Hadoop/NoSQL
Other
7. On average, how many sources of data do your visual
discovery tools display within a single application?
54%
22%
14%
2%
4%
5%
1 to 2
3
4 to 5
6 to 10
11 to 20
21+
8. What is the corporate policy regarding
the use of visual discovery tools?
38%
35%
32%
30%
14%
13%
Standardize on the tools for
creating enterprise dashboards
No corporate policy needed
Standardize on the tools for
business analysts
Standardize on the tools for
creating departmental dashboards
Prohibit departments from
purchasing the tools
Require the departments to point
the tools at the EDW
9. Which vendors supply you with visual
discovery tools?
53%
35%
30%
27%
20%
19%
17%
12%
9%
3%
2%
2%
1%
1%
Tableau
Microsoft
QlikTech
SAP Business Objects
IBM Cognos
Microstrategy
Other
SAS Institute
Tibco Spotfire
Information Builders
SiSense
Actuate
Advizor
Alteryx
10. Who are the primary users of your
visual discovery tools?
9%
44%
47%
Casual users
Power users
Both equally
11. To what degree do casual users use the following
functions in the visual discovery tool? (Only “high”
responses displayed)
37%
24%
22%
15%
11%
7%
4%
4%
4%
Monitor predefined metrics
Connect to, explore, and analyze a single data source
Analyze predefined metrics
Connect to, explore, and analyze multiple data source
Conduct what-if analysis
Author and publish dashboards
Enter or update data
Transform, clean, and/or combine data
Apply data mining algorithms (e.g. regressions)
12. To what degree do power users use the following
functions in the visual discovery tool? (Only “high”
responses displayed)
59%
55%
49%
37%
37%
33%
21%
21%
20%
Connect to, explore, and analyze a single data source
Connect to, explore, and analyze multiple data source
Analyze predefined metrics
Monitor predefined metrics
Conduct what-if analysis
Author and publish dashboards
Enter or update data
Transform, clean, and/or combine data
Apply data mining algorithms (e.g. regressions)
13. How do each of the following groups rate the value of
visual discovery tools compared to other BI tools in
use at your organization?
38%
43%
18%
28%
40%
31%
13%
32%
49%
24%
43%
31%
Much better
Better
Neutral
Business users
Business department
heads
IT department heads
Executives
14. Which BI tools has your organization
officially standardized on?
87%
70%
56%
45%
31%
21%
Reporting/dashboard tool
Ad query/analysis tool
Visual discovery tool
Multidimensional OLAP tool
Real-time analytics/dashboard tool
Data mining tool
15. To what degree did the following drive the
decision to implement visual discovery tools?
78%
77%
66%
53%
51%
51%
45%
33%
25%
Better visualization
Easier to use
Self-service analysis
Fast-changing business requirements
Self-service authoring
Quicker to deploy
Faster queries
Faster data integration
More affordable
16. To what degree has your organization
experienced the following challenges with
visual discovery tools?
33%
33%
32%
31%
27%
21%
21%
Complexity - Sourcing data from complex ERP/CRM applications
Consistency - Maintaining data consistency across environments
Funding - Getting executives to expand to fund the installation
or expansion of the software
Data quality - Idetnifying and fixing data quality errors
Scalability - Maintaining performance as numbers of users and
volume of data increases
Performance - Meeting SLAs for response times
Integration - Integrating the tools with other information
environments
17. What are the future plans for the
deployment of visual discovery tools?
84%
13%
2%
Expand deployment
Maintain, but not expand
Decrease deployment
18. What prevents you from deploying
visual discovery tools?
35%
29%
27%
25%
19%
18%
18%
12%
Our budget is tapped out
We already have suitable BI tools
Not a corporate standard
Fear of proliferating spreadmarts
Don't know enough about visual discovery tools
Performance and scalability issues
Other
Not enough value for the price