In the current climate, it’s now more important than ever to digitally enable your workforce and customers.
Hear from Simon Taylor, VP Global Partners & Alliances, Lucidworks and Matt Aslett, Research Vice President, 451 Research to get the inside scoop on how industry leaders in Europe are developing and executing their digital transformation strategies.
In this webinar, we’ll discuss:
The top challenges and aspirations European business and technology leaders are solving using AI and search technology
Which search and AI use cases are making the biggest impact in industries such as finance, healthcare, retail and energy in Europe
What technology buyers should look for when evaluating AI and search solutions
Smart Answers for Employee and Customer Support After COVID-19Lucidworks
Watch our on-demand webinar showcasing Smart Answers on Lucidworks Fusion. This technology makes existing chatbots and virtual assistants more intelligent and more valuable to the people you serve.
In this webinar, we’ll cover off:
-How search and deep learning extend conversational frameworks for improved experiences
-How Smart Answers improves customer care, call deflection, and employee self-service
-A live demo of Smart Answers for multi-channel self-service support
Webinar: 5 Must-Have Items You Need for Your 2020 Ecommerce StrategyLucidworks
In this webinar with 451 Research, you'll understand how retailers are using AI to predict customer intent and learn which key performance metrics are used by more than 120 online retailers in Lucidworks’ 2019 Retail Benchmark Survey.
In this webinar, you’ll learn:
● What trends and opportunities are facing the ecommerce industry in 2020
● Why search is the universal path to understanding customer intent
● How large online retailers apply AI to maximize the effectiveness of their personalization efforts
Webinar: Smart answers for employee and customer support after covid 19 - EuropeLucidworks
The COVID-19 pandemic has forced companies to support far more customers and employees through digital channels than ever before. Many are turning to chatbots to help meet increasing demand, but traditional rules-based approaches can’t keep up. Our new Smart Answers add-on to Lucidworks Fusion makes existing chatbots and virtual assistants more intelligent and more valuable to the people you serve.
Organizations today are adding digital technology to all areas of the business— fundamentally transforming the way companies interact with knowledge workers. Search, NLP, and effective insight delivery is key to making the processes of tomorrow, smart, flexible, and powerful.
Learn how the most innovative companies fuel creativity and drive productivity with search experiences that connect people to insights precisely when they need them.
Presented by: Lucidworks CMO, Vivek Sriram
Hear guest speaker, Forrester Wave author Mike Gualtieri, discuss the importance of cognitive search and provide insights behind the newly published report, The Forrester Wave™: Cognitive Search, Q2 2019, in which Lucidworks is named a Leader.
Smart Answers for Employee and Customer Support After COVID-19Lucidworks
Watch our on-demand webinar showcasing Smart Answers on Lucidworks Fusion. This technology makes existing chatbots and virtual assistants more intelligent and more valuable to the people you serve.
In this webinar, we’ll cover off:
-How search and deep learning extend conversational frameworks for improved experiences
-How Smart Answers improves customer care, call deflection, and employee self-service
-A live demo of Smart Answers for multi-channel self-service support
Webinar: 5 Must-Have Items You Need for Your 2020 Ecommerce StrategyLucidworks
In this webinar with 451 Research, you'll understand how retailers are using AI to predict customer intent and learn which key performance metrics are used by more than 120 online retailers in Lucidworks’ 2019 Retail Benchmark Survey.
In this webinar, you’ll learn:
● What trends and opportunities are facing the ecommerce industry in 2020
● Why search is the universal path to understanding customer intent
● How large online retailers apply AI to maximize the effectiveness of their personalization efforts
Webinar: Smart answers for employee and customer support after covid 19 - EuropeLucidworks
The COVID-19 pandemic has forced companies to support far more customers and employees through digital channels than ever before. Many are turning to chatbots to help meet increasing demand, but traditional rules-based approaches can’t keep up. Our new Smart Answers add-on to Lucidworks Fusion makes existing chatbots and virtual assistants more intelligent and more valuable to the people you serve.
Organizations today are adding digital technology to all areas of the business— fundamentally transforming the way companies interact with knowledge workers. Search, NLP, and effective insight delivery is key to making the processes of tomorrow, smart, flexible, and powerful.
Learn how the most innovative companies fuel creativity and drive productivity with search experiences that connect people to insights precisely when they need them.
Presented by: Lucidworks CMO, Vivek Sriram
Hear guest speaker, Forrester Wave author Mike Gualtieri, discuss the importance of cognitive search and provide insights behind the newly published report, The Forrester Wave™: Cognitive Search, Q2 2019, in which Lucidworks is named a Leader.
Top 5 Business Intelligence (BI) Trends in 2013Siva Shanmugam
Below are a few trends that we believe are going to gain momentum this year.
Agile IM
Cloud BI / SaaS BI
Mobile Business Intelligence
Analytics
Big Data
How to Use Algorithms to Scale Digital BusinessTeradata
Gartner defines digital business as the creation of new business designs by blurring the digital and physical worlds. Digital business creates new business opportunities, but the amount of data generated will eclipse the human ability to process it. Further, many complex decisions will need to be made in timeframes, and at scales, that are impossible by human actors. Gartner analyst Chet Geschickter will explain share advice on how to leverage algorithmic business principles to drive digital business success.
Customer Experience: A Catalyst for Digital TransformationCloudera, Inc.
Customer experience is a catalyst in many digital transformation projects. It is why many businesses invest in new technologies and processes to more effectively engage customers, constituents, or employees. The goal of putting digital tools to work in a transformative way is to ensure that data and insights connect people with information and processes that ultimately lead to a better experience for customers. Yet, it demands a modern approach that considers all of the platforms, processes, and data across the customer journey. The goal for many organizations is dynamically maintaining a single source of truth about each customer to drive personalized experiences based on individual preferences and behaviors.
However, businesses today have primarily invested in systems of record. While these systems are critical for managing internal operational processes, they are typically not effective for today's pace of business change. Insight-driven experiences require customer intelligence platforms that can finally create a customer 360. The deeper data and improved algorithms now available let users factor in individual affinity, segment, and a myriad of growing data sources. The result is greater relevance and effectiveness to deliver a differentiated experience that in today’s competitive landscape is not a luxury, but a necessity for survival.
In this session we will address:
3 things to learn:
•Leaders and Laggards of digital transformation
•How to create data-driven customer insights
•The importance of machine learning to uncover hidden insights
The Ultimate Guide To Embedded Analytics Poojitha B
Did you know that the lack of in-context data prevents you from making smarter business decisions - and as a result, missing out on key revenue opportunities?
An initiative to healthcare analytics with office 365 and power bi spsparis2017Thuan Ng
Today data is a valuable asset in every organization, especially in healthcare industry. For example, with data about number of patients by location, hospital shall have the ability to offer more services to take care of them rapidly by building more medical stataion. Or with doctor's workload you know how to start hiring more human resources to balance the workload. With Office 365 - a digital workplace platform and PowerBI - a business intelligence and analytics on Microsoft Cloud service, let's have a look at how the digital transformation is initiated for healthcare industry.
Mathew Zaute, VP of Analytics at Rise Interactive, shares insights into the current marketing analytics landscape, common struggles marketers face, the keys to success, and more.
Give your customers what they want, with SaaS embedded analytics Powered by GoodData. Read this guide to learn why Zendesk says “Advanced analytics are the #1 reason why customers upgrade.” Get a better understanding of:
1. How embedded analytics can help you differentiate in a crowded SaaS market
2. Why Forrester identifies the cloud and analytics as two key drivers of future business applications innovation
3. How you can practice agile revenue development, monetizing the data you already have within your core application
4. The unique benefits of becoming a Powered by GoodData embedded analytics partner
5. How GoodData is driving revenue, retention and relationships for software vendors across operations, martech, health, travel and other sectors
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
From Lagging to Lightspeed: AI for Project ManagersAggregage
Imagine a world where your project team's capabilities aren't bogged down by data gaps, administrative gruntwork, or simple code errors. Productivity would soar, creativity would flourish, and project teams could focus on working together, not working on the tech. This world isn't as much a fantasy as it is the future. Thanks to AI's emerging role in project management, we can finally restructure our teams to achieve more. Join our panel of thought leaders to learn where AI is taking us and how to get there.
Be Digital or Die - Predictive Analytics for Digital TransformationFintricity
A look at leveraging big data and predictive analytics for digital transformation. This deck was presented at the Predictive Analytics & Innovation Summit in London. 10th May 2016, by Alpesh Doshi, Founder of Fintricity.
Webinar: Enable Insight Driven Data Risk Assessments with AILucidworks
Learn how top global enterprises today are taking proactive steps toward modernizing their current risk assessment systems with cognitive search and AI driven platforms.
Presented by: George Tziahanas, Partner, SOHO2
Simon Taylor, VP Global Partner & Alliances, Lucidworks
Trying to figure out if embedded analytics are for you?
According to Gartner Research, more than 90% of business leaders view content information as a strategic asset, yet fewer than 10% can quantify its economic value. Read this guide to learn why you should be leveraging an asset you already own--data--to build relationships, increase retention, and drive revenue.
Humans are sentient. We perceive. We feel. We listen. The problem is the more you put together, the more we lose these capabilities. We get slower. The idea is, how we create a company that acts like a single organism, where we identify opportunities, and that allows us to work in a faster and exponential world world where development happens in months rather than years. Don't let digital transformation become a war of competitive attrition. You may need to invest in your future to change the game.
This presentation was made on June 16, 2020.
A recording of the presentation can be viewed here: https://youtu.be/khjW1t0gtSA
AI is unlocking new potential for every enterprise. Organizations are using AI and machine learning technology to inform business decisions, predict potential issues, and provide more efficient, customized customer experiences. The results can enable a competitive edge for the business.
H2O.ai is a visionary leader in AI and machine learning and is on a mission to democratize AI for everyone. We believe that every company can become an AI company, not just the AI Superpowers. We are empowering companies with our leading AI and Machine Learning platforms, our expertise, experience and training to embark on their own AI journey to become AI companies themselves. All companies in all industries can participate in this AI Transformation.
Tune into this virtual meetup to learn how companies are transforming their business with the power of AI and where to start.
About Parul Pandey:
Parul is a Data Science Evangelist here at H2O.ai. She combines Data Science , evangelism and community in her work. Her emphasis is to spread the information about H2O and Driverless AI to as many people as possible, She is also an active writer and has contributed towards various national and international publications.
Top 5 Business Intelligence (BI) Trends in 2013Siva Shanmugam
Below are a few trends that we believe are going to gain momentum this year.
Agile IM
Cloud BI / SaaS BI
Mobile Business Intelligence
Analytics
Big Data
How to Use Algorithms to Scale Digital BusinessTeradata
Gartner defines digital business as the creation of new business designs by blurring the digital and physical worlds. Digital business creates new business opportunities, but the amount of data generated will eclipse the human ability to process it. Further, many complex decisions will need to be made in timeframes, and at scales, that are impossible by human actors. Gartner analyst Chet Geschickter will explain share advice on how to leverage algorithmic business principles to drive digital business success.
Customer Experience: A Catalyst for Digital TransformationCloudera, Inc.
Customer experience is a catalyst in many digital transformation projects. It is why many businesses invest in new technologies and processes to more effectively engage customers, constituents, or employees. The goal of putting digital tools to work in a transformative way is to ensure that data and insights connect people with information and processes that ultimately lead to a better experience for customers. Yet, it demands a modern approach that considers all of the platforms, processes, and data across the customer journey. The goal for many organizations is dynamically maintaining a single source of truth about each customer to drive personalized experiences based on individual preferences and behaviors.
However, businesses today have primarily invested in systems of record. While these systems are critical for managing internal operational processes, they are typically not effective for today's pace of business change. Insight-driven experiences require customer intelligence platforms that can finally create a customer 360. The deeper data and improved algorithms now available let users factor in individual affinity, segment, and a myriad of growing data sources. The result is greater relevance and effectiveness to deliver a differentiated experience that in today’s competitive landscape is not a luxury, but a necessity for survival.
In this session we will address:
3 things to learn:
•Leaders and Laggards of digital transformation
•How to create data-driven customer insights
•The importance of machine learning to uncover hidden insights
The Ultimate Guide To Embedded Analytics Poojitha B
Did you know that the lack of in-context data prevents you from making smarter business decisions - and as a result, missing out on key revenue opportunities?
An initiative to healthcare analytics with office 365 and power bi spsparis2017Thuan Ng
Today data is a valuable asset in every organization, especially in healthcare industry. For example, with data about number of patients by location, hospital shall have the ability to offer more services to take care of them rapidly by building more medical stataion. Or with doctor's workload you know how to start hiring more human resources to balance the workload. With Office 365 - a digital workplace platform and PowerBI - a business intelligence and analytics on Microsoft Cloud service, let's have a look at how the digital transformation is initiated for healthcare industry.
Mathew Zaute, VP of Analytics at Rise Interactive, shares insights into the current marketing analytics landscape, common struggles marketers face, the keys to success, and more.
Give your customers what they want, with SaaS embedded analytics Powered by GoodData. Read this guide to learn why Zendesk says “Advanced analytics are the #1 reason why customers upgrade.” Get a better understanding of:
1. How embedded analytics can help you differentiate in a crowded SaaS market
2. Why Forrester identifies the cloud and analytics as two key drivers of future business applications innovation
3. How you can practice agile revenue development, monetizing the data you already have within your core application
4. The unique benefits of becoming a Powered by GoodData embedded analytics partner
5. How GoodData is driving revenue, retention and relationships for software vendors across operations, martech, health, travel and other sectors
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
From Lagging to Lightspeed: AI for Project ManagersAggregage
Imagine a world where your project team's capabilities aren't bogged down by data gaps, administrative gruntwork, or simple code errors. Productivity would soar, creativity would flourish, and project teams could focus on working together, not working on the tech. This world isn't as much a fantasy as it is the future. Thanks to AI's emerging role in project management, we can finally restructure our teams to achieve more. Join our panel of thought leaders to learn where AI is taking us and how to get there.
Be Digital or Die - Predictive Analytics for Digital TransformationFintricity
A look at leveraging big data and predictive analytics for digital transformation. This deck was presented at the Predictive Analytics & Innovation Summit in London. 10th May 2016, by Alpesh Doshi, Founder of Fintricity.
Webinar: Enable Insight Driven Data Risk Assessments with AILucidworks
Learn how top global enterprises today are taking proactive steps toward modernizing their current risk assessment systems with cognitive search and AI driven platforms.
Presented by: George Tziahanas, Partner, SOHO2
Simon Taylor, VP Global Partner & Alliances, Lucidworks
Trying to figure out if embedded analytics are for you?
According to Gartner Research, more than 90% of business leaders view content information as a strategic asset, yet fewer than 10% can quantify its economic value. Read this guide to learn why you should be leveraging an asset you already own--data--to build relationships, increase retention, and drive revenue.
Humans are sentient. We perceive. We feel. We listen. The problem is the more you put together, the more we lose these capabilities. We get slower. The idea is, how we create a company that acts like a single organism, where we identify opportunities, and that allows us to work in a faster and exponential world world where development happens in months rather than years. Don't let digital transformation become a war of competitive attrition. You may need to invest in your future to change the game.
This presentation was made on June 16, 2020.
A recording of the presentation can be viewed here: https://youtu.be/khjW1t0gtSA
AI is unlocking new potential for every enterprise. Organizations are using AI and machine learning technology to inform business decisions, predict potential issues, and provide more efficient, customized customer experiences. The results can enable a competitive edge for the business.
H2O.ai is a visionary leader in AI and machine learning and is on a mission to democratize AI for everyone. We believe that every company can become an AI company, not just the AI Superpowers. We are empowering companies with our leading AI and Machine Learning platforms, our expertise, experience and training to embark on their own AI journey to become AI companies themselves. All companies in all industries can participate in this AI Transformation.
Tune into this virtual meetup to learn how companies are transforming their business with the power of AI and where to start.
About Parul Pandey:
Parul is a Data Science Evangelist here at H2O.ai. She combines Data Science , evangelism and community in her work. Her emphasis is to spread the information about H2O and Driverless AI to as many people as possible, She is also an active writer and has contributed towards various national and international publications.
Building a Cognitive Business – Josh Sutton, SapientRazorfish Data & Artifici...Publicis Sapient
AI is going to disrupt nearly every industry at a faster pace than we have ever seen. Tomorrow’s success stories will be those firms that became a cognitive business. At the AI Summit in London, Josh Sutton, SapientRazorfish's Data & Artificial Intelligence Practice Lead, presented pragmatic, real world approaches for identifying meaningful uses for AI in organizations and covered how to build a cognitive platform inclusive of technology, experience, and change management that avoids creating silos and demonstrates meaningful business value.
Riding and Capitalizing the Next Wave of Information TechnologyGoutama Bachtiar
Delivered in guest lecture session for International Business Accounting Program, Faculty of Business and Management, Petra Christian University, Surabaya, East Java, Indonesia.
Investing in AI: Moving Along the Digital Maturity CurveCognizant
Digitally mature businesses are more likely to consider themselves at an advanced stage of AI adoption, according to our recent study, enabling them to turn data into insights at the scale and precision required today.
The dynamic synergy between data analytics and cognitive process automation embodies the very essence of data-driven decision-making. In this latest piece from the E42 Blog, we dive deep into the very synergy that has firmly established itself as the bedrock of modern business strategy, ushering in precision, efficiency, and growth for enterprises.
Aligning your business to the data driven economy, how data is the new oil, importance of algorithms in a data driven world and their benefits for different industries, and new use cases of digital data.
Gartner predicts that in 2020, organizations using AI tech will achieve long-term success 4 times more than others. Considering the exponential expansion and influence of AI and its exceptional value, adopting this technology is no longer a choice, but a need, for organizations.For more visit at https://www.payjo.co/blog/13-reasons-why-your-business-needs-ai/
Certus Accelerate - Building the business case for why you need to invest in ...Certus Solutions
Becoming an analytically driven or cognitive business is a journey.
Businesses will be able to rapidly capitalize on new opportunities if they have invested in the foundations of their information management systems.
Conversational intelligence builds on the advancements in artificial intelligence and cognitive computing to help organisations to lower costs, lower risk, and increase value. This is achieved through a variety of outcomes, such as enhancing engagement through providing personalized understanding, scaling and elevating human expertise, infusing products and services with contextually aware knowledge, enabling automated, intelligent business process and powering the ability for disruptive data discovery and exploration that have otherwise eluded organisations for decades.
Conversations play an important role in building these relationships, but they are increasingly taking on digital forms, which are very hard to track. These conversations hold valuable information, but how can companies extract actionable insights? What role does Conversational Intelligence play?
Listen to an interview that Founder & CEO Neil Movold did with B2M's Simon Fawkes on the subject of Conversational Intelligence and the answers to these questions.
https://b2m.co.nz/conversational-intelligence/
Top Business Intelligence Trends - By DataToBizKavika Roy
Ready to take your business to the next level? Discover the top business intelligence trends for this year and stay ahead of the game.
Read the full article: https://www.datatobiz.com/blog/top-business-intelligence-trends/
About DataToBiz:
DataToBiz is a team of experts who are committed to helping businesses and enterprises adopt advanced technologies like Data Science, Artificial Intelligence, and Business Intelligence technologies. We possess rich experience in designing, implementing, and crafting Data Engineering Solutions, for a wide array of business challenges.
DataToBiz: https://www.datatobiz.com/
Ibm cognitive business_strategy_presentationdiannepatricia
IBM Cognitive Business Strategy presentation. Presented by Dianne Fodell and Jim Spohrer at the Cognitive Systems Institute Group Speaker Series call on October 8, 2015.
The 10 Most Admired Analytics Companies to Watch in 2018Merry D'souza
We introduce “The 10 Most Admired Analytics Companies to Watch in 2018”, in order to assist businesses to choose their right analytics companies. Assessing the scenario in versatile perceptions, our magazine has brought light onto the companies, who have flaunted excellence in providing technologically advanced analytics solutions. This list showcases the analytics companies which are creating a better ‘Analytics’ world.
Gartner predicts that in 2020, organizations using AI tech will achieve long-term success 4 times more than others. Considering the exponential expansion and influence of AI and its exceptional value, adopting this technology is no longer a choice, but a need, for organizations.
Here are 13 reasons why your business needs AI:
Search is the Tip of the Spear for Your B2B eCommerce StrategyLucidworks
With ecommerce experiencing explosive growth, it seems intuitive that the B2B segment of that ecosystem is mirroring the same trajectory. That said, B2B has very different needs when it comes to transacting with the same style of experiences that we see in B2C. For instance, B2B ecommerce is about precision findability, whereas B2C customers can convert at higher rates when they’re just browsing online. In order for the B2B buying experience to be successful, search needs to be tuned to meet the unique needs of the segment.
In this webinar with Forrester senior analyst Joe Cicman, you’ll learn:
-Which verticals in B2B will drive the most growth, and how machine-learning powered personalization tactics can be deployed to support those specific verticals
-Why an omnichannel selling approach must be deployed in order to see success in B2B
-How deploying content search capabilities will support a longer sales cycle at scale
-What the next steps are to support a robust B2B commerce strategy supported by new technology
Speakers
Joe Cicman, Senior Analyst, Forrester
Jenny Gomez, VP of Marketing, Lucidworks
Customer loyalty starts with quickly responding to your customer’s needs. When it comes to resolving open support cases, time is of the essence. Time spent searching for answers adds up and creates inefficiencies in resolving cases at scale. Relevant answers need to be a few clicks away and easily accessible for agents directly from their service console.
We will explore how Lucidworks’ Agent Insights application automatically connects agents with the correct answers and resources. You’ll learn how to:
-Configure a proactive widget in an agent’s case view page to access resources across third-party systems (such as Sharepoint, Confluence, JIRA, Zendesk, and ServiceNow).
-Easily set up query pipelines to autonomously route assets and resources that are relevant to the case-at-hand—directly to the right agent.
-Identify subject matter experts within your support data and access tribal knowledge with lightning-fast speed.
How Crate & Barrel Connects Shoppers with Relevant ProductsLucidworks
Lunch and Learn during Retail TouchPoints #RIC21 virtual event.
***
Crate & Barrel’s previous search solution couldn’t provide its shoppers with an online search and browse experience consistent with the customer-centric Crate & Barrel brand. Meanwhile, Crate & Barrel merchandisers spent the bulk of their time manually creating and maintaining search rules. The search experience impacted customer retention, loyalty, and revenue growth.
Join this lunch & learn for an interactive chat on how Crate & Barrel partnered with Lucidworks to:
-Improve search and browse by modernizing the technology stack with ML-based personalization and merchandising solutions
-Enhance the experience for both shoppers and merchandisers
-Explore signals to transform the omnichannel shopping experience
Questions? Visit https://lucidworks.com/contact/
Learn how to guide customers to relevant products using eCommerce search, hyper-personalisation, and recommendations in our ‘Best-In-Class Retail Product Discovery’ webinar.
Nowadays, shoppers want their online experience to be engaging, inspirational and fulfilling. They want to find what they’re looking for quickly and easily. If the sought after item isn’t available, they want the next best product or content surfaced to them. They want a website to understand their goals as though they were talking to a sales assistant in person, in-store.
In this webinar, we explore IMRG industry data insights and a best-in-class example of retail product discovery. You’ll learn:
- How AI can drive increased revenue through hyper-personalised experiences
- How user intent can be easily understood and results displayed immediately
- How merchandisers can be empowered to curate results and product placement – all without having to rely on IT.
Presented by:
Dave Hawkins, Principal Sales Engineer - Lucidworks
Matthew Walsh, Director of Data & Retail - IMRG
Connected Experiences Are Personalized ExperiencesLucidworks
Many companies claim personalization and omnichannel capabilities are top priorities. Few are able to deliver on those experiences.
For a recent Lucidworks-commissioned study, Forrester Consulting surveyed 350+ global business decision-makers to see what gets in the way of achieving these goals. They discovered that inefficient technology, lack of behavioral insights, and failure to tie initiatives to enterprise-wide goals are some of the most frequent blockers to personalization success.
Join guest speaker, Forrester VP and Principal Analyst, Brendan Witcher, and Lucidworks CEO, Will Hayes, to hear the results of the Forrester Consulting study, how to avoid “digital blindness,” and how to apply VoC data in real-time to delight customers with personalized experiences connected across every touchpoint.
In this webinar, you’ll learn:
- Why companies who utilize real-time customer signals report more effective personalization
- How to connect employees and customers in a shared experience through search and browse
- How Lucidworks clients Lenovo, Morgan Stanley and Red Hat fast-tracked improvements in conversion, engagement and customer satisfaction
Featuring
- Will Hayes, CEO, Lucidworks
- Brendan Witcher, VP, Principal Analyst, Forrester
Intelligent Insight Driven Policing with MC+A, Toronto Police Service and Luc...Lucidworks
Intelligent Policing. Leveraging Data to more effectively Serve Communities.
Policing in the next decade is anticipated to be very different from historical methods. More data driven, more focused on the intricacies of communities they serve and more open and collaborative to make informed recommendations a reality. Whether its social populations, NIBRS or organization improvement that’s the driver, the IT requirement is largely the same. Provide 360 access to large volumes of siloed data to gain a full 360 understanding of existing connections and patterns for improved insight and recommendation.
Join us for a round table discussion of how the Toronto Police Service is better serving their community through deploying a unified intelligent data platform.
Data innovation improves officers' engagement with existing data and streamlines investigation workflows by enhancing collaboration. This improved visibility into existing police data allows for a more intelligent and responsive police force.
In this webinar, we'll cover:
-The technology needs of an intelligent police force.
-How a Global Search improves an officer's interaction with existing data.
Featuring:
-Simon Taylor, VP, Worldwide Channels & Alliances, Lucidworks
-Michael Cizmar, Managing Director, MC+A
-Ian Williams, Manager of Analytics & Innovation, Toronto Police Service
[Webinar] Intelligent Policing. Leveraging Data to more effectively Serve Com...Lucidworks
Policing in the next decade is anticipated to be very different from historical methods. More data driven, more focused on the intricacies of communities they serve and more open and collaborative to make informed recommendations a reality. Whether its social populations, NIBRS or organization improvement that’s the driver, the IT requirement is largely the same. Provide 360 access to large volumes of siloed data to gain a full 360 understanding of existing connections and patterns for improved insight and recommendation.
Join us for a round table discussion of how the Toronto Police Service is better serving their community through deploying a unified intelligent data platform.
Data innovation improves officers' engagement with existing data and streamlines investigation workflows by enhancing collaboration. This improved visibility into existing police data allows for a more intelligent and responsive police force.
In this webinar, we'll cover:
The technology needs of an intelligent police force.
How a Global Search improves an officer's interaction with existing data.
Featuring
-Simon Taylor, VP, Worldwide Channels & Alliances, Lucidworks
-Michael Cizmar, Managing Director, MC+A
-Ian Williams, Manager of Analytics & Innovation, Toronto Police Service
Accelerate The Path To Purchase With Product Discovery at Retail Innovation C...Lucidworks
Wish your conversion rates were higher? Can’t figure out how to efficiently and effectively serve all the visitors on your site? Embarrassed by the quality of your product discovery experience? The bar is high and the influx of online shopping over recent months has reminded us that the opportunities are real. We’re all deep in holiday prep, but let’s take a few minutes to think about January 2021 and beyond. How can we position ourselves for success with our customers and against our competition?
Grab your lunch and let’s dive into three strategies that need to be part of your 2021 roadmap. You don’t need an army to get there. But you do need to take action and capitalize on the shoppers abandoning the product discovery journey on your site.
In this session, attendees will find out how to:
-Take control of merchandising at scale;
-Implement hands-free search relevancy; and
-Address personalization challenges.
AI-Powered Linguistics and Search with Fusion and RosetteLucidworks
For a personalized search experience, search curation requires robust text interpretation, data enrichment, relevancy tuning and recommendations. In order to achieve this, language and entity identification are crucial.
For teams working on search applications, advanced language packages allow them to achieve greater recall without sacrificing precision.
Join us for a guided tour of our new Advanced Linguistics packages, available in Fusion, thanks to the technology partnership between Lucidworks and Basistech.
We’ll explore the application of language identification and entity extraction in the context of search, along with practical examples of personalizing search and enhancing entity extraction.
In this webinar, we’ll cover:
-How Fusion uses the Rosette Basic Linguistics and Entity Extraction packages
-Tips for improving language identification and treatment as well as data enrichment for personalization
-Speech2 demo modeling Active Recommendation
-Use Rosette’s packages with Fusion Pipelines to build custom entities for specific domain use cases
Featuring:
-Radu Miclaus, Director of Product, AI and Cloud, Lucidworks, Lucidworks
-Robert Lucarini, Senior Software Engineer, Lucidworks
-Nick Belanger, Solutions Engineer, Basis Technology
The Service Industry After COVID-19: The Soul of Service in a Virtual MomentLucidworks
Before COVID-19, almost 80% of the US workforce worked service in jobs that involve in-person interaction with strangers. Now, leaders of service organizations must reshape their offerings during the pandemic and prepare for whatever the new normal turns out to be. Our three panelists will share ideas for adapting their service businesses, now that closer-than-six-feet isn’t an option.
Join Lucidworks as we talk shop with 3 service business leaders, covering:
-Common impacts of the pandemic on service businesses (and what to do about them),
-How service teams can maintain a human touch across virtual channels, and
-Plans for the future, before and after the pandemic subsides.
Featuring
-Sara Nathan, President & CEO, AMIGOS
-Anthony Carruesco, Founder, AC Fly Fishing
-sara bradley, chef and proprietor, freight house
-Justin Sears, VP Product Marketing, Lucidworks
Where Search Meets Science and Style Meets Savings: Nordstrom Rack's Journey ...Lucidworks
Nordstrom Rack | Hautelook curates and serves customers a wide selection of on-trend apparel, accessories, and shoes at an everyday savings of up to 75 percent off regular prices. With over a million visitors shopping across different platforms every day, and a realization that customers have become accustomed to robust and personalized search interactions, Nordstrom Rack | Hautelook launched an initiative over a year ago to provide data science-driven digital experiences to their customers.
In this session, we’ll discuss Nordstrom Rack | Hautelook’s journey of operationalizing a hefty strategy, optimizing a fickle infrastructure, and rallying troops around a single vision of building an expansible machine-learning driven product discovery engine.
The audience will learn about:
-The key technical challenges and outcomes that come with onboarding a solution
-The lessons learned of creating and executing operational design
-The use of Lucidworks Fusion to plug custom data science models into search and browse applications to understand user intent and deliver personalized experiences
Apply Knowledge Graphs and Search for Real-World Decision IntelligenceLucidworks
Knowledge graphs and machine learning are on the rise as enterprises hunt for more effective ways to connect the dots between the data and the business world. With newer technologies, the digital workplace can dramatically improve employee engagement, data-driven decisions, and actions that serve tangible business objectives.
In this webinar, you will learn
-- Introduction to knowledge graphs and where they fit in the ML landscape
-- How breakthroughs in search affect your business
-- The key features to consider when choosing a data discovery platform
-- Best practices for adopting AI-powered search, with real-world examples
Presenter: Justin Sears, Lucidworks and Shalin Mangar
Description: Apache Solr is one of the most trusted and performant search engines. Many of the world’s largest companies use Solr to power their e-commerce and workplace web applications. But obtaining the required expertise, managing and scaling infrastructure, administering security, and performing upgrades for an enterprise-grade Solr environment can be difficult and expensive — preventing infrastructure leaders from delivering Solr’s time-tested advantages to their organizations.
Using Search to Drive Self-Help Success at VeritasLucidworks
Learn how to use ROI to validate knowledge management and search to management, by delivering a better customer self-service experience that improves customer success and satisfaction. Understand the simple business case that justified investment in Lucidworks Fusion to deliver unified search across multiple repositories, allowing both customers and support engineers to maximize productivity. Identity management and security models allow support engineers to use the same interface as customers, making it easy to teach customers how to self-solve while still protecting sensitive data.
Speaker: Joe Kugler, Sr Mgr, Knowledge
Management and Self Help Experience, Veritas Technologies
Learn how to use user-generated search data to improve relevancy of results at scale. As search development and data science converge, Lucidworks Fusion provides a solution that including AI and signal-driven features out of the box.
Speaker: Mark Moyou, Data Science Manager, Lucidworks
Enterprise Information Architecture: Empowering AI in the Digital WorkplaceLucidworks
Search is an essential component of the digital workplace. The Digital Workplace is an ecosystem of information that is managed in multiple systems, exposed in multiple experiences, and needs to meet the needs of a wide range of users. This information drives decision-making, analytics, and knowledge sharing across the organization. When your information architecture, taxonomies, and metadata are implemented across the enterprise, the power of AI driven search is unlocked.
Lucidworks Fusion at Foot Locker: Speed at ScaleLucidworks
Foot Locker is going through a major digital transformation and search experience enhancement using Lucidworks Fusion is a key part of the transformation initiative. Foot Locker has a unique position in selling specialty sneakers with a demography covering teens to millennials. This poses a unique challenge to satisfy a tech-savvy, primarily mobile-driven user base. There are also multiple brands spanning across North America, Europe and APAC regions requiring advanced search capabilities and multilingual support. Delivering this solution at speed at scale requires tools that support these capabilities. Fusion is one such tool we are learning and we will present our journey so far. We are still in the process of rolling out Fusion to enable advanced features to all of the brands under Foot Locker. The presentation will include the latest data and learnings at the time of the conference.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
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.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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
3. 3
Search & AI
Application in the
Current Pandemic
Where to Focus to ease the Burden of doing Business
4. 4
We’re now living in a different world…
G E N E R A L T R E N D S *
o 48% of the market is still formulating its digital transformation planning
o 89% of consumers are concerned with protecting their personal data online: Covid-19 bad actors
o 76% of consumers are likely to switch to an alternate online vendor: poor experience / Covid-19
o 47% of digitally aware consumers would prefer virtual assistants to save time vs. call center
N E E D S *
o Measure digital performance relative to the customer experience
o Improve personalised digital experiences for content and commerce along with customer data and
intelligence platforms
o Use of virtual assistants to ease capacity issues relative to accessing relevant information and
deflection of expensive call service interactions
o Improve employee information access in the new “Working from home” situation
*451 Research, LLC – Copyright, March 2020
6. 78% of businesses believe Covid-19 has already
had a negative operational impact.
75% already have or will be implementing expanded
work-from-home policies in response to the crisis
38% that think work-from-home policies will become
be long-term or made permanent.
62% have already experienced a fall in employee
productivity, or expect to in the next three months.
41% report having already felt an internal strain on
their IT resources.
22% have delayed/halted rolling out of new products
or services.
Coronavirus quick fixes aren’t scalable; business leaders must rethink work itself | 451 Group Research March
20th , 2020
7. Top Priorities
ACHIEVE A UNIFIED SINGLE SOURCE OF
INFORMATION [INC. CUSTOMER DATA]
GAIN RICHER SOURCES OF DATA FOR LINE
OF BUSINESS DECISION MAKERS
Voice of The Enterprise: Workforce Productivity & Collaboration, Employee Lifecycle | 451 Group Research, Q2
2019
8. We need to connect people to data
insight?
Predictable, organisationally defined data access
BEFORE
Empowered data consumers seek insight and
drive productivity on their own
NOW
9. Data Scientist Driven Activity Business Alignment
Meet the “Last Mile Problem”
BigDataManagement
&Analytics
❶ ❷ ❸ ❹ ❺ ❻ ❼ ❽
Problems with Activating Data for Digital Transformation
10. Data Scientist Driven The Last Mile Problem
Reduced Time to Value
Quantifiable & Faster ROI
Search,Discovery&
OperationalAI
BigDataManagement
&Analytics
❶ ❷ ❸ ❹ ❺ ❻ ❼ ❽
❶ ❷ ❸ ❹
Direct Alignment with Business Needs
Problems with Activating Data for Digital Transformation
12. What goes wrong with AI in Digital
Transformation Projects?
BAD DATA IN = BAD RECOMMENDATION OUT. FALSE
POSITIVES REDUCING CONFIDENCE IN MACHINE LEARNING
LONGER TERM COMPLACENT DEPENDENCIES ON
“INFALLIBLE” MACHINE LEARNING
IN ABILITY FOR AI TO TAKE ACCOUNT OF THE WIDER
CONTEXT OF BUSINESS NEEDS / OUTCOMES
13. Challenges Adopting AI & ML
IT Teams
May misunderstand both the business
objectives and the machine learning model.
Business Leaders
Define the business goals that want to pursue
with AI, but they don’t usually understand the
challenges and limitations of building ML models
Data Scientists
Understand machine learning, but they might
not truly understand the business objectives
and they may build “hungry” models that
consume too many IT resources
1 2
3
14. Artificial Narrow Intelligence (ANI) is the AI
that exists in our world today,
programmed to perform a single task —
whether it’s checking the weather, being
able to play chess, or analyzing raw data to
to write journalistic reports.
Artificial General intelligence (AGI) or refers to
machines that exhibit human intelligence. In
other words, AGI can successfully perform any
intellectual task that a human being can being
conscious, sentient, and driven by emotion
and self-awareness.
ANI systems can process data and complete
tasks at a significantly quicker pace than any
human being can, which has enabled us to
improve our overall productivity, efficiency,
and quality of life e.g. assist doctors to make
data-driven decisions, making healthcare
better
AGI is expected to be able to reason, solve
problems, make judgements under uncertainty,
plan, learn, integrate prior knowledge in
decision-making, and be innovative,
imaginative and creative.
It’s all about Operationalising AI
15. “Machine learning is a method of data
analysis that automates analytical model
building. It is a branch of artificial
intelligence based on the idea that systems
can learn from data, identify patterns and
make decisions with minimal human
intervention.”
SAS INSTITUTE INC. 2019
16. How to Implement Machine Learning
A FRAMEWORK FOR APPLYING AI IN THE ENTERPRISE
GARTNER INC. 2017
18. Many AI tools’ designs start
with just data, not the human
question. Thus, a great AI
platform focuses on an answer to
the question by using search,
rather than just being tool based.
AI AUTHORITY
CHAO HAN, HEAD OF DATA SCIENCE, LUCIDWORKS
SEPT 2018
20. 20
HYPER PERSONALISATION
Go beyond using static rules and profiles. Instead dynamically
customise the experience for each data consumer.
Use AI and machine learning to predict user intent and give
employees the insights they need, when they need them.
Maximise the opportunities to tailor content that fits each
and every employee’s wants and needs.
Explore
Curate
Integrate
MACHINE LEARNING
21. Use Case Examples
Digital Commerce
Predictive
Merchandising
Catalog Search
Sentiment Analysis
Personal
Assistant/Chatbots
Digital Workplace
Scientific Research
Call Center
Prioritisation
Support Deflection
Natural Language
Search
Fraud Detection
22. Advanced connectors and AI enrichment,
delivered by intuitive applications created with App Studio,
deployed on-prem or as a multi-tenant cloud managed
service.
D ATA
Any format,
any platform
S O L U T I O N
Personalised
insights for each
individual
STORAGE
& SEARCH
INTENT
PREDICTIO
N
APP
CREATION
DATA
INGEST &
PREP
F U S I O N P L AT F O R M
Human
Generated
System
Generated
Application
Generated
Digital
Workplace
23. STORAGE & SEARCH INTENT PREDICTION APP CREATIONDATA INGEST & PREP
NLP: NER, phrases, POS
Document classification
Anomaly detection
Clustering
Topic detection
Search engine &
data processing
Connectors
ETL pipelines
Scheduling & alerting
SQL engine
Rules engine
Query pipelines
Query intent detector
Automatic relevancy
Signals & query analytics
Recommenders
A/B testing
Modular components
Stateless architecture
User-focused experience
Geospatial mapping
Results preview
Rapid prototyping
S C A L A B L E O P E R AT I O N S
SECURITYCDCRCLOUDSCALABLEEXTENSIBLE
26. D ATA
Any format,
any platform
Human
Generated
System
Generated
Application
Generated
Index Search Intent BuildApp
S O L U T I O N
A S S E M B LY
Digital
Workplace
RULE
ENTITY
ML
NLP
BOOST
SIGNAL
R A P I D A S S E M B LY P L AT F O R M
FUSION
Q&A Chatbot
FUSION
Risk Analysis
FUSION
Workplace Search
S O L U T I O N T E M P L AT E S
27. R E A L - L I F E E X A M P L E S
Lucidworks Fusion
powers connected
experiences
Customer
Care
Investigation Employee
Q&A
Supply
Efficiency
Compliance
& Audit
28. C A S E S T U D Y
Single, global source of truth
in their knowledge management
application
An accurate picture
of client interactions and expertise
Content disambiguation
10MD O C U M E N T S M A N A G E D
40KEMPLOYEES
29. C A S E S T U D Y
Better customer support
Putting the right information in front
of customers in fewer clicks
Improved support calls
Shorter wait times, and a more
engaged support
Reinvest savings
200%I N C R E A S E I N C T R
50KF E W E R S U P P O R T T I C K E T S
34%C A L L D E F L E C T I O N
91%R E D U C T I O N I N T C O
30. C A S E S T U D Y
More searches converted into sold
tickets
Full-site search on iOS & Android
mobile apps
33%I N C R E A S E I N C O N V E R S I O N
63%I M P R O V E M E N T I N V I S I T O R S
15%R E V E N U E AT T R I B U T E D T O S E A R C H
SCRIPT:
You’re not the only one who feels the challenge transitioning to a more agile digital workplace.
How are these challenging industries to evolve
It is difficult to integrate AI and Machine Learning into enterprise operations. This because most companies have adopted a “project-based” deployment model for ML. This is challenging because three groups need to work closely together, despite having different skills and interests:
Business leaders define the business goals that want to pursue with ML, but they don’t usually understand the challenges and limitations of building ML models,
Data Scientists understand machine learning, but they might not truly understand the business objectives and they may build “hungry” models that consume too many IT resources,
IT Teams may misunderstand both the business objectives and the machine learning model.
See search-maturity keynote in presentations gdrive
SCRIPT:
At Lucidworks, we know that these are very complex challenges, because we began working on them 12 years ago.
We began with a deep understanding of search and Apache Solr, and we wrote code to ingest data generated by systems, humans and applications.
We’ve developed advanced functionality for indexing, clustering, classification, faceting, filtering, relevancy, ranking, analytics, visualization, natural language processing, ranking and boosting results.
We’ve bundled it all into a Digital Workplace solution available with Lucidworks Fusion.
Because we’ve done the work and become the experts at delivering the solution in the world’s largest organizations (including one third of the US Fortune 100), you can begin using our platform without diverting time, attention and money away from your core business.
Focus on your business, your customers and your employees instead.
REFERENCES:
Indexing Data: https://doc.lucidworks.com/fusion/2.1/Indexing-Data.html
Faceting: https://doc.lucidworks.com/fusion/2.1/Search/Faceting.html
Collaborative Filtering: https://doc.lucidworks.com/fusion/2.1/Recommendations_and_Boosting/Collaborative-Filtering.html
Relevancy: https://doc.lucidworks.com/fusion-server/4.1/solr-reference-guide/7.4.0/relevance.html
Ranking: https://doc.lucidworks.com/fusion-server/4.1/solr-reference-guide/7.4.0/learning-to-rank.html
Analytics: https://doc.lucidworks.com/fusion-server/4.1/solr-reference-guide/7.4.0/analytics.html
Visualization: https://doc.lucidworks.com/fusion-server/4.1/system-administration/dashboards/display-panels.html
Use Case Examples
Here is a list of use cases likely to need AI (we will add to this list as we see different AI-enabled deals come through):
Digital Commerce
B2C Predictive Merchandising (e.g. Lululemon) -- this is the classic ecommerce search like we support at Lululemon, Bed Bath & Beyond or Barnes & Noble
B2B Catalog Search (e.g. Getty Images) -- suppliers of industrial equipment who support very large and complex product catalogs. The buyer can search the catalogs or the seller’s employees can advise the buyer about which parts and components might be best
Digital Workplace
Scientific Research (e.g. IQVIA) -- for engineering, drug formulation or public health research in an area where experts have access to thousands of content-rich studies or reports
Call Center Dashboard (e.g. Fidelity) -- for help highly skilled consultants respond quickly to in-bound calls from the most valuable customers
IT Support Ticket Deflection (e.g. Red Hat, SAS) -- help distributed teams solve their own problems, when they may not be able to explain the issue according to pre-defined terms. Synonym detection, misspelling detection and head/tail analysis can help users solve their own problems.
Pharma Clinical Trials Tracking -- search data on many individuals with many, varied drug interaction signals.
Investment Advisory Platform (e.g. Morgan Stanley) -- give private bankers the power to make real-time recommendations when they are consulting with their high net worth clients.
Customer Sentiment Analysis (e.g. ExxonMobil) -- model keywords used in search and let the ML model changing trends in net positive or net negative sentiment expressed in those queries
Investigation of Fraud, Waste and Abuse (e.g. Government agencies) -- let the ML flag subtle but suspicious patterns that individual humans might not notice across multiple dats sets and channels
Instant Answer Engines (QA Systems) -- help employees or customers find their own answers with natural language search
Personal Assistants for Self-Service (e.g. Bank of America) -- power digital personal assistants like Bank of America’s “Erica”
SCRIPT:
Lucidworks Fusion incorporates AI and Machine Learning throughout the platform to intelligently ingest, explore, and curate the data.
When you ingest data into the Fusion platform, it uses AI to cluster, classify and organize content, so that it will be available for user queries.
Once the query comes into Fusion Server, it invokes Search AI to understand query intent and personalize results.
Fusion App Studio allows teams to quickly create new, personalized, data discovery experiences.
All of this can either be deployed on-prem, self-hosted on public cloud service, or as managed by Lucidworks in a multi-tenant cloud PaaS.
REFERENCES:
No customer left behind: How to drive growth by putting personalization at the center of your marketing | https://www.mckinsey.com/business-functions/marketing-and-sales/our-insights/no-customer-left-behind
SCRIPT:
Here’s some deeper detail on the functions performed by each of Fusion’s components.
For example, AI on data ingest includes NLP analysis, document classification, anomaly detection, clustering and topic detection.
Fusion Server delivers connectors to hundreds of data sources, and very fast search results, even with extremely large numbers of documents and thousands of concurrent users.
AI at query time helps with intent detection, automatic relevancy, query and signal analytics, recommenders and A/B testing.
And App Studio helps our customers deliver powerful knowledge discovery through a user-focused experience. Rapid prototyping helps our customers get the experiences right in the beginning and then easily tune them as conditions change.
Fusion has a distributed architecture, so its operations are extensible, scalable, and cloud-ready, all with cross data center replication (CDCR) and enterprise-grade security.
REFERENCES:
SolrCloud: https://doc.lucidworks.com/fusion-server/4.1/solr-reference-guide/7.2.1/solrcloud.html
CDCR video: https://youtu.be/fAvO8bHTh-Q
Webinar “Secure Solr with Fusion”: https://youtu.be/unREzFNIa7Q
SCRIPT:
I’ve described how Lucidworks Fusion powers exploration, integration and curation.
I’ve shown some fictional examples in my hypothetical “Brazilian oil & gas case study”.
Now I’d like to share some real-life customer examples of major companies using Lucidworks Fusion to power their Digital Workplace initiatives.
SCRIPT:
PWC powers their global knowledge management solution with Fusion. Fusion is the single, global source of truth, painting an accurate picture of client interactions and employee expertise.
PwC’s application augments internal data with external sources such as Wolphram Alpha and Wikipedia and presents the information side by side within the app, offering content disambiguation.
It is used by 40,000 employees to explore 10 million documents.
REFERENCES:
PWC slides from Activate 2018: https://www.slideshare.net/lucidworks/strategic-value-from-enterprise-search-and-insights-viren-patel-pwc
SCRIPT:
The open source Linux pioneer, Red Hat, uses Lucidworks for customer support.
They’ve doubled their click-through rate, avoided about 50,000 support tickets and reduced their TCO by 91%, compared to their previous self-service portal.
REFERENCES:
Case Study: “How Red Hat Cut Costs and Improved Relevancy with Lucidworks Fusion” | http://programs.lucidworks.com/rs/579-JML-927/images/Lucidworks_Red_Hat_Case_Study.pdf
SCRIPT:
Digital commerce on Vegas.com is powered by Fusion, and after migrating to Lucidworks:
conversion improved by one third,
visitor engagement improved by 63% and
now 15% of the site’s revenue is attributed to search.
REFERENCES:
Lucidworks customer video: https://lucidworks.com/video/vegas-com-and-fusion/