Conversational AI 101-The Ecosystem at a GlanceCapital Numbers
Conversational AI can help turn a marketer’s dream into a reality. It is here to create a world where brands can strengthen a bond with their buyers and buyers can learn to rely on brands again.
It’s a part of a larger shift we’re seeing in the business landscape today.
If you’d like help developing your multi-tenant software, contact us. https://bit.ly/2yif7wx
#buildingtheaiecosystem, #bigdataecosystem, #artificialintelligence, #futureof bigdataecosystem, #evolutionofbigdataecosystem, #chatbotconversation, #conversation, #chatbotconversationdesign, #chatbottalkaiconversation, #aiconversation, #conversationux, #conversationai, #conversationbot, #howtodesignaconversation
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21st Century Ways of Engaging with Your Customers: Leverage Data and AI/ML to Drive New Experiences and Deliver Better Informed Decisions
Speaker:
Matt Pitchford, FS Specialist Solutions Architect, AWS
Discover how to create a knowledge mine of rich insights from your data using cognitive technologies. Use this approach to serve customers with smart cognitive assistants delivering memorable financial experiences and use the same technology to empower colleagues to make efficient decisions across your organisation.
Accure builds Chatbot powered by Momentum driven AI to conduct conversation via textual method. This is designed to convincingly simulate how a human would behave as a conversational partner. NLP engine in Momentum process the incoming text and respond appropriately as it’s trained via Machine learning algorithm within the Momentum AI platform.
Conversational AI 101-The Ecosystem at a GlanceCapital Numbers
Conversational AI can help turn a marketer’s dream into a reality. It is here to create a world where brands can strengthen a bond with their buyers and buyers can learn to rely on brands again.
It’s a part of a larger shift we’re seeing in the business landscape today.
If you’d like help developing your multi-tenant software, contact us. https://bit.ly/2yif7wx
#buildingtheaiecosystem, #bigdataecosystem, #artificialintelligence, #futureof bigdataecosystem, #evolutionofbigdataecosystem, #chatbotconversation, #conversation, #chatbotconversationdesign, #chatbottalkaiconversation, #aiconversation, #conversationux, #conversationai, #conversationbot, #howtodesignaconversation
Follow Us On -
Facebook: http://www.facebook.com/CapitalNumbers
Twitter: https://twitter.com/_CNInfotech
Pinterest: http://pinterest.com/capitalnumbers/
Linkedin: http://www.linkedin.com/company/capitalnumbers
Youtybe: https://www.youtube.com/user/CNInfotech
Instagram: https://www.instagram.com/capitalnumbers_com/
21st Century Ways of Engaging with Your Customers: Leverage Data and AI/ML to Drive New Experiences and Deliver Better Informed Decisions
Speaker:
Matt Pitchford, FS Specialist Solutions Architect, AWS
Discover how to create a knowledge mine of rich insights from your data using cognitive technologies. Use this approach to serve customers with smart cognitive assistants delivering memorable financial experiences and use the same technology to empower colleagues to make efficient decisions across your organisation.
Accure builds Chatbot powered by Momentum driven AI to conduct conversation via textual method. This is designed to convincingly simulate how a human would behave as a conversational partner. NLP engine in Momentum process the incoming text and respond appropriately as it’s trained via Machine learning algorithm within the Momentum AI platform.
Engati is one of the best free chatbot platform to build bots in minutes without programming. Build once and publish across 8 major platforms - FB messenger, kik, telegram, line, viber, skype, slack and website. Supports intelligent paths, train, copy, analytics and private labeling.
Using Engati you can leverage the power of machine learning, NLP/NLU to design your very own chatbot.
The Ultimate Guide to Implementing Conversational AICeline Rayner
What exactly is conversational AI? How is it different than chatbots? How does it work, and why should you implement it?
In the most comprehensive guide ever written on this topic, we cover every single facet of successful, pain-free conversational AI implementation and maintenance in 2021.
This one is for the nontechnical people out there who have to deal with technical people in their work. At least some of you might have faced tough times when your tech counterparts start to talk about API. Well, don't worry anymore. I can assure you that APIs won't freak you out after going through these slides.
SharePoint Saturday Warsaw - Conversational AI applications in Microsoft TeamsThomas Gölles
While every team is unique, one thing that is consistent is that every team will need a variety of apps and tools to get their work done. Since there is no such thing as a universal tool for work, the extensibility of the Teams platform delivers a universal hub for teamwork to infuse all those tools, together.
This session will guide you through the development lifecycle of a chatbot built for Microsoft Teams to enrich your collaboration and communication experience. Basic design guidelines paired with working examples and real-world demos will help you understand the principles of designing conversational AI apps that fit into your hub for teamwork. Expect a lot of ideas, concepts and demos and less code.
inteliwise.com provides intelligent bot for Customer Service and e-Commerce, which answers FAQs on facebook Messenger without a live person, performing as an ultimate Conversational Customer Service
The recent advancement in natural language processing and machine learning technologies promises to enable an efficient interface for communication between humans and computers. Thus, the intelligent conversational bots, or chatbot, or as we knew it, has been gaining more popularity recently. Ranging from generic chatbots that enable humans to talk on a wide range of topics, to specific chatbots, that specialize on a certain topic and possess a deep understanding of it. But what is this and how could one make a conversational bot intelligence? In this talk, you will discover more about the conversational bot, how we define it, chatbot anatomy, and what researchers do to make the smart chatbot intelligence.
Chatbots have grown business by drawing in a greater number of customers, investigating customer data, providing personalized support and thus increasing sales. This has made an evident feature in app development
AI is key for transforming customer service and e-commerce. We are serving almost 200 great, global brands with Chatbots, Live Chat, Facebook, helping them to sell more to customers.
Webinar - Building a ChatBot using IBM Watson Conversation ServiceThirdEye Data
This webinar showcases step-by-step instructions to build a Chatbot from scratch using IBM Watson Conversation.
And there is no need to write long lines of code nor have any machine learning background!
Vision: Image-processing algorithms to smartly identify, caption and moderate your pictures
Computer vision: Distill actionable information from images
Content Moderator: Automatically moderate potentially offensive images, text and videos
Customer Vision Service: Train a web service to recognize specific content in images
Face: Identify human faces and emotions in images
Video indexer: Easily extract insights from your videos to enrich your applications
Speech: Convert spoken audio into text, use voice for verification, or add speaker recognition to your app
Bing Speech: Convert speech to text and text to speech
Speaker Recognition: Use speech to identify and authenticate individual speakers
Custom Speech Service: Overcome speech recognition barriers like speaking style, background noise, and vocabulary
Translator Speech: Easily conduct real-time speech translation on your app
Language: Enable your apps to process natural language with pre-built scripts, evaluate sentiment and learn how to recognize what users want
Bing Spell Check: Add spell checking functionality to your app
Language Understanding (LUIS): Add language understanding intelligence to your apps with minimal effort
Linguistic Analysis: Easily parse complex text with language analysis
Text Analytics: Easily evaluate sentiment, language, and key phrases to understand what users want
Translator Text: Easily conduct machine translation for 60+ languages
Knowledge: Map complex information and data in order to solve tasks such as intelligent recommendations and semantic search
Knowledge Exploration Service: Enable interactive search experiences over structured data via natural language inputs
Entity Linking Service: Power your app's data links with named entity recognition and disambiguation
Academic Knowledge: Tap into the wealth of academic content in the Microsoft Academic Graph using the Academic Knowledge API
QnA Maker: Distill information into an easy-to-navigate FAQ for bot services
Customer Decision Service: Create custom experiences with adaptive, contextual decision-making
Search: Add Bing Search APIs to your apps and harness the ability to comb billions of webpages, images, videos, and news with a single API call
Bing Autosuggest: Give your app intelligent autosuggest options for searches
Bing News Search: Search for news and get comprehensive results
Bing Web Search: Get enhanced search details from billions of web documents
Bing Entity Search: Enrich your experiences by identifying and augmenting entity information from the web
Bing Image Search: Search for images and get comprehensive results
Bing Video Search: Search for videos and get comprehensive results
Bing Custom Search: Create tailored site search or vertical search experiences for topics you care about
Facebook ChatBots : What can they do for your businessAyush Jain
There is a huge buzz in the tech world with the launch of Facebook Messenger ChatBots. What makes the Facebook Chat Bot desirable by businesses is the reach Messenger has with it’s 900 million plus users. Techies and marketers can’t wait to develop and start using them. Since the launch, more than 10,000 developers have started building bots on Facebook platform.
In this presentation, we will introduce you to ChatBots, their implications across various domains and explore what can they do for your business.
This presentation illustrates the new trend of Bots (chatbots) from an enterprise perspective. The content covers some of the key bot platforms in the market such as Microsoft Bot Framework, Facebook Messenger, Telegram, Kik and others.
Textalytics - Voice of the Customer - Sentiment Analysis Symposium 2014Sngular Meaning
Presentation about "Voice of the Customer in the Financial Servce Industry" delivered by Textalytics/Daedalus at the Sentiment Analysis Symposium 2014 (NYC)
Textalytics is now MeaningCloud http://www.meaningcloud.com/
Voicebot: i Chatbot crescono e imparano a parlarePaolo Montrasio
di Mirko Puliafito, Eudata http://www.eudata.com
Si mostra come sia possibile dare voce ai chatbot testuali rinnovando la consueta interazione uomo macchina dei canali voce come IVR e call center, degli assistenti virtuali di smartphone e smart home e delle funzionalità di registrazione vocale delle piattaforme di messaging più diffuse.
Finance bots - The move toward conversational financeOrganic, Inc
2016 was a big year for chatbots and
the financial industry was no exception.
The landscape is growing both through
established brands working to evolve
the relationship with their base and 3rd
party solutions finding ways to fill gaps
the larger players haven’t yet
addressed.
IBM Cloud Artificial Intelligence : A Comprehensive OverviewSatyajit Panda
This is a presentation on IBM cloud AI capabilities I have given in 2018 to a group of worldwide architects.It's a little old so verify on the progress before you make any assumptions.I am sharing in the hope that someone may learn something from this or it may be useful to someone.
AI Recruitment - How Businesses Are Winning the Race for the TalentSkyl.ai
About the webinar
Have you ever faced this situation wherein your recruitment team didn’t get enough time to build a stellar candidate experience and faced a hard time sifting through thousands of resumes and scheduling calls?
According to a survey by HR.com, in today's time one in ten recruiters use AI and nearly half expect to adopt it in their recruitment process within the next 5 years to keep up with changing market pace.
Over the course of 45 minutes, you will gain insights into how AI is changing recruitment and giving companies a competitive edge.
What you'll learn:
- How organizations are leveraging AI to accelerate the search for top talent
- Live Demo of smart resume search using Natural language processing
- Best practice to automate machine learning models in hours not months
To explore more, visit: https://skyl.ai/form?p=start-trial
Engati is one of the best free chatbot platform to build bots in minutes without programming. Build once and publish across 8 major platforms - FB messenger, kik, telegram, line, viber, skype, slack and website. Supports intelligent paths, train, copy, analytics and private labeling.
Using Engati you can leverage the power of machine learning, NLP/NLU to design your very own chatbot.
The Ultimate Guide to Implementing Conversational AICeline Rayner
What exactly is conversational AI? How is it different than chatbots? How does it work, and why should you implement it?
In the most comprehensive guide ever written on this topic, we cover every single facet of successful, pain-free conversational AI implementation and maintenance in 2021.
This one is for the nontechnical people out there who have to deal with technical people in their work. At least some of you might have faced tough times when your tech counterparts start to talk about API. Well, don't worry anymore. I can assure you that APIs won't freak you out after going through these slides.
SharePoint Saturday Warsaw - Conversational AI applications in Microsoft TeamsThomas Gölles
While every team is unique, one thing that is consistent is that every team will need a variety of apps and tools to get their work done. Since there is no such thing as a universal tool for work, the extensibility of the Teams platform delivers a universal hub for teamwork to infuse all those tools, together.
This session will guide you through the development lifecycle of a chatbot built for Microsoft Teams to enrich your collaboration and communication experience. Basic design guidelines paired with working examples and real-world demos will help you understand the principles of designing conversational AI apps that fit into your hub for teamwork. Expect a lot of ideas, concepts and demos and less code.
inteliwise.com provides intelligent bot for Customer Service and e-Commerce, which answers FAQs on facebook Messenger without a live person, performing as an ultimate Conversational Customer Service
The recent advancement in natural language processing and machine learning technologies promises to enable an efficient interface for communication between humans and computers. Thus, the intelligent conversational bots, or chatbot, or as we knew it, has been gaining more popularity recently. Ranging from generic chatbots that enable humans to talk on a wide range of topics, to specific chatbots, that specialize on a certain topic and possess a deep understanding of it. But what is this and how could one make a conversational bot intelligence? In this talk, you will discover more about the conversational bot, how we define it, chatbot anatomy, and what researchers do to make the smart chatbot intelligence.
Chatbots have grown business by drawing in a greater number of customers, investigating customer data, providing personalized support and thus increasing sales. This has made an evident feature in app development
AI is key for transforming customer service and e-commerce. We are serving almost 200 great, global brands with Chatbots, Live Chat, Facebook, helping them to sell more to customers.
Webinar - Building a ChatBot using IBM Watson Conversation ServiceThirdEye Data
This webinar showcases step-by-step instructions to build a Chatbot from scratch using IBM Watson Conversation.
And there is no need to write long lines of code nor have any machine learning background!
Vision: Image-processing algorithms to smartly identify, caption and moderate your pictures
Computer vision: Distill actionable information from images
Content Moderator: Automatically moderate potentially offensive images, text and videos
Customer Vision Service: Train a web service to recognize specific content in images
Face: Identify human faces and emotions in images
Video indexer: Easily extract insights from your videos to enrich your applications
Speech: Convert spoken audio into text, use voice for verification, or add speaker recognition to your app
Bing Speech: Convert speech to text and text to speech
Speaker Recognition: Use speech to identify and authenticate individual speakers
Custom Speech Service: Overcome speech recognition barriers like speaking style, background noise, and vocabulary
Translator Speech: Easily conduct real-time speech translation on your app
Language: Enable your apps to process natural language with pre-built scripts, evaluate sentiment and learn how to recognize what users want
Bing Spell Check: Add spell checking functionality to your app
Language Understanding (LUIS): Add language understanding intelligence to your apps with minimal effort
Linguistic Analysis: Easily parse complex text with language analysis
Text Analytics: Easily evaluate sentiment, language, and key phrases to understand what users want
Translator Text: Easily conduct machine translation for 60+ languages
Knowledge: Map complex information and data in order to solve tasks such as intelligent recommendations and semantic search
Knowledge Exploration Service: Enable interactive search experiences over structured data via natural language inputs
Entity Linking Service: Power your app's data links with named entity recognition and disambiguation
Academic Knowledge: Tap into the wealth of academic content in the Microsoft Academic Graph using the Academic Knowledge API
QnA Maker: Distill information into an easy-to-navigate FAQ for bot services
Customer Decision Service: Create custom experiences with adaptive, contextual decision-making
Search: Add Bing Search APIs to your apps and harness the ability to comb billions of webpages, images, videos, and news with a single API call
Bing Autosuggest: Give your app intelligent autosuggest options for searches
Bing News Search: Search for news and get comprehensive results
Bing Web Search: Get enhanced search details from billions of web documents
Bing Entity Search: Enrich your experiences by identifying and augmenting entity information from the web
Bing Image Search: Search for images and get comprehensive results
Bing Video Search: Search for videos and get comprehensive results
Bing Custom Search: Create tailored site search or vertical search experiences for topics you care about
Facebook ChatBots : What can they do for your businessAyush Jain
There is a huge buzz in the tech world with the launch of Facebook Messenger ChatBots. What makes the Facebook Chat Bot desirable by businesses is the reach Messenger has with it’s 900 million plus users. Techies and marketers can’t wait to develop and start using them. Since the launch, more than 10,000 developers have started building bots on Facebook platform.
In this presentation, we will introduce you to ChatBots, their implications across various domains and explore what can they do for your business.
This presentation illustrates the new trend of Bots (chatbots) from an enterprise perspective. The content covers some of the key bot platforms in the market such as Microsoft Bot Framework, Facebook Messenger, Telegram, Kik and others.
Textalytics - Voice of the Customer - Sentiment Analysis Symposium 2014Sngular Meaning
Presentation about "Voice of the Customer in the Financial Servce Industry" delivered by Textalytics/Daedalus at the Sentiment Analysis Symposium 2014 (NYC)
Textalytics is now MeaningCloud http://www.meaningcloud.com/
Voicebot: i Chatbot crescono e imparano a parlarePaolo Montrasio
di Mirko Puliafito, Eudata http://www.eudata.com
Si mostra come sia possibile dare voce ai chatbot testuali rinnovando la consueta interazione uomo macchina dei canali voce come IVR e call center, degli assistenti virtuali di smartphone e smart home e delle funzionalità di registrazione vocale delle piattaforme di messaging più diffuse.
Finance bots - The move toward conversational financeOrganic, Inc
2016 was a big year for chatbots and
the financial industry was no exception.
The landscape is growing both through
established brands working to evolve
the relationship with their base and 3rd
party solutions finding ways to fill gaps
the larger players haven’t yet
addressed.
IBM Cloud Artificial Intelligence : A Comprehensive OverviewSatyajit Panda
This is a presentation on IBM cloud AI capabilities I have given in 2018 to a group of worldwide architects.It's a little old so verify on the progress before you make any assumptions.I am sharing in the hope that someone may learn something from this or it may be useful to someone.
AI Recruitment - How Businesses Are Winning the Race for the TalentSkyl.ai
About the webinar
Have you ever faced this situation wherein your recruitment team didn’t get enough time to build a stellar candidate experience and faced a hard time sifting through thousands of resumes and scheduling calls?
According to a survey by HR.com, in today's time one in ten recruiters use AI and nearly half expect to adopt it in their recruitment process within the next 5 years to keep up with changing market pace.
Over the course of 45 minutes, you will gain insights into how AI is changing recruitment and giving companies a competitive edge.
What you'll learn:
- How organizations are leveraging AI to accelerate the search for top talent
- Live Demo of smart resume search using Natural language processing
- Best practice to automate machine learning models in hours not months
To explore more, visit: https://skyl.ai/form?p=start-trial
Cognitive Services: Building Smart Apps with Speech, NLP & VisionNick Landry
Your computer can recognize your voice and detect words in a speech dictation, but can it truly understand the meaning of what you are saying? Can it analyze your intent and respond accordingly? You don’t need a PhD in artificial intelligence to integrate speech and natural language understanding in your projects. Microsoft Cognitive Services (aka “Project Oxford”) is a portfolio of cloud-based REST APIs and SDKs powered by Machine Learning which enable developers to write applications which understand the content within the rapidly growing set of multimedia data. Cognitive Services API services will help you understand and interact with audio, text, image, and video. In this session, we’ll start with an overview of available services for speech recognition and speech synthesis. Then we’ll explore through live demos how to leverage the Language Understanding Intelligent Service which lets you determine intent, detect entities in user speech and improve language understanding models to more efficiently work with user data. Lastly, we’ll leverage Computer Vision APIs to detect human faces, analyze the content of images, and perform Optical Character Recognition (OCR) to detect and analyze words within a photo. Come learn how your apps can tap into the same active learning services behind the brain of Cortana, and get started writing smart applications that can understand what your users are saying.
TechEvent 2019: Intelligence-as-a-Service - Wir bauen die Applikationen der Z...Trivadis
Intelligence-as-a-Service - Wir bauen die Applikationen der Zukunft - Mit den Azure Cognitive Services; Manuel Meyer, Thomas Gassmann - Trivadis TechEvent 2019
How to Kick-Start Your Marketing with AIIncubeta NMPi
Performance Manager from NMPi, Fred Maude, takes a step backwards and dissects the state of play of AI in marketing, giving you some of the tools and lessons you need to start your AI journey.
Watch the full Webinar here: https://www.youtube.com/watch?v=JZB1sUF-ogw
Choosing the Right AI Text Generator for Your Needs
Creating quality online content is an essential but challenging task, and as technology evolves, new tools are emerging to aid in content generation. An AI text generator can be one such tool.
What is an AI text generator?
An AI text generator is a software or application powered by artificial intelligence, specifically language models, that can create textual content such as blog articles, reports, messages, and more. It utilizes large amounts of data to understand structure, grammar, and context, allowing it to generate coherent and comprehensive text.
The increasing popularity and importance of AI text generators in content generation
• With the continual growth of digital platforms, creating consistent quality content can be overwhelming.
• The AI text generator can help in producing content quickly, improving efficiency.
• These tools can generate large quantities of content while maintaining accuracy and tone.
• As a result, AI text generators have become a popular tool in the world of content creation.
The significance of choosing the right AI text generator for your needs
Choosing the most suitable AI text generator for your needs is crucial. Not all AI text generators are the same. They vary in their capabilities, offerings, and complexity. It is key to understand your specific content requirements and choose an AI tool that can fulfill them effectively.
Understanding AI Text Generators
AI text generators leverage artificial intelligence to automate the process of creating content, saving time and effort without compromising quality.
Exploring the underlying technology of AI text generators
Artificial intelligence (AI), machine learning (ML), and Natural Language Processing (NLP) are the key technologies used in AI text generators. They work together to understand context, grammar, sentence structure, and comprehend the nuances of human language. AI text generators are trained using language models, which are large-scale representations of language data. They are designed to predict the next word in a sentence, aiding in coherent text generation.
Different types of AI text generators available in the market
There are various types of AI text generators available in the market today:
- Transformer-based models: Include GPT-3, BERT, OpenAI’s
Do you ever wonder why Artificial Intelligence (AI), suddenly gains an unlimited amount of attention in just a couple of years? AI has played a pivotal role in technological advancement in recent years. AI has been used in just a few sectors such as education, business, scientific discovery, medical diagnosis, video games, stock trading, etc. We all have seen some astonishing achievements in AI technologies in the 21st century that are extraordinary indeed such as text production, speech recognition, natural language processing, drug development, language translation, etc. If you are a business owner and want to take your company to the top you must use AI for your business. The term AI (Artificial Intelligence) was first coined by a young scientist John McCarthy at summer conference named “Artificial Intelligence” at Dartmouth University in 1965.
However, the potential use of AI came into existence in the first decade of the 21st century and it was successfully applied in a wide range of fields such as industries and academics to solve their problems. All the credit goes to powerful computer hardware, innovative approaches, and massive data accumulation. AI is a computer field that is developed gradually. It uses machines, mainly computer systems to stimulate human intellectual processes.
Blueprint Series: Banking In The Cloud – Ultra-high Reliability ArchitecturesMatt Stubbs
Data architecture for a challenger bank.Speaker: Jason Maude, Head of Technology Advocacy, Starling BankSpeaker Bio: Jason Maude is a coder, coach, and public speaker. He has over a decade of experience working in the financial sector, primarily in creating and delivering software. He is passionate about explaining complex technical concepts to those who are convinced that they won't be able to understand them. He currently works at Starling Bank as their Head of Technology Advocacy and host of the Starling podcast.Filmed at Skills Matter/Code Node London on 9th May 2019 as part of the Big Data LDN Meetup Blueprint Series.Meetup sponsored by DataStax.
Speed Up Your Apache Cassandra™ Applications: A Practical Guide to Reactive P...Matt Stubbs
Speaker: Cedrick Lunven, Developer Advocate, DataStax
Speaker Bio: Cedrick is a Developer Advocate at DataStax where he finds opportunities to share his passions by speaking about developing distributed architectures and implementing reference applications for developers. In 2013, he created FF4j, an open source framework for Feature Toggle which he still actively maintains. He is now contributor in JHipster team.
Talk Synopsis: We have all introduced more or less functional programming and asynchronous operations into our applications in order to speed up and distribute treatments (e.g., multi-threading, future, completableFuture, etc.). To build truly non-blocking components, optimize resource usage, and avoid "callback hell" you have to think reactive—everything is an event.
From the frontend UI to database communications, it’s now possible to develop Java applications as fully reactive with frameworks like Spring WebFlux and Reactor. With high throughput and tunable consistency, applications built on top of Apache Cassandra™ fit perfectly within this pattern.
DataStax has been developing Apache Cassandra drivers for years, and in the latest version of the enterprise driver we introduced reactive programming.
During this session we will migrate, step by step, a vanilla CRUD Java service (SpringBoot / SpringMVC) into reactive with both code review and live coding. Bring home a working project!
Filmed at Skills Matter/Code Node London on 9th May 2019 as part of the Big Data LDN Meetup Blueprint Series.
Meetup sponsored by DataStax.
Blueprint Series: Expedia Partner Solutions, Data PlatformMatt Stubbs
Join Anselmo for an engaging overview of the new end-to-end data architecture at Expedia Group, taking a journey through cloud and on-prem data lakes, real-time and batch processes and streamlined access for data producers and consumers. Find out how the new architecture unifies a complex mix of data sources and feeds the data science development cycle. Expedia might appear to be a market-leading travel company – in reality, it’s a highly successful technology and data science company.
Blueprint Series: Architecture Patterns for Implementing Serverless Microserv...Matt Stubbs
Richard Freeman talks about how the data science team at JustGiving built KOALA, a fully serverless stack for real-time web analytics capture, stream processing, metrics API, and storage service, supporting live data at scale from over 26M users. He discusses recent advances in serverless computing, and how you can implement traditionally container-based microservice patterns using serverless-based architectures instead. Deploying Serverless in your organisation can dramatically increase the delivery speed, productivity and flexibility of the development team, while reducing the overall running, DevOps and maintenance costs.
Big Data LDN 2018: DATABASE FOR THE INSTANT EXPERIENCEMatt Stubbs
Date: 14th November 2018
Location: Customer Experience Theatre
Time: 12:30 - 13:00
Speaker: David Maitland
Organisation: Redis Labs
About: This session will cover the technology underpinning at the software infrastructure level required to deliver the instant experience to the end user and enterprises alike. Use cases and value derived by major brands will be shared in this insightful session based the world's most loved database REDIS.
Big Data LDN 2018: BIG DATA TOO SLOW? SPRINKLE IN SOME NOSQLMatt Stubbs
Date: 14th November 2018
Location: Customer Experience Theatre
Time: 11:50 - 12:20
Speaker: Perry Krug
Organisation: Couchbase
About: Who wants to see an ad today for the shoes they bought last week? Everyone knows that customer experience is driven by data: don't waste an opportunity to get them the right data at the right time. Real-time results are critical, but raw speed isn't everything: you need power and flexibility to react to changes on the fly. Come learn how market-leading enterprises are using Couchbase as their speed layer for ingestion, incremental view and presentation layers alongside Kafka, Spark and Hadoop to liberate their data lakes.
Big Data LDN 2018: ENABLING DATA-DRIVEN DECISIONS WITH AUTOMATED INSIGHTSMatt Stubbs
Date: 13th November 2018
Location: Customer Experience Theatre
Time: 11:50 - 12:20
Speaker: Charlotte Emms
Organisation: seenit
About: How do you get your colleagues interested in the power of data? Taking you through Seenit’s journey using Couchbase's NoSQL database to create a regular, fully automated update in an easily digestible format.
Big Data LDN 2018: DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAI...Matt Stubbs
Date: 14th November 2018
Location: Governance and MDM Theatre
Time: 10:30 - 11:00
Speaker: Mike Ferguson
Organisation: IBS
About: For most organisations today, data complexity has increased rapidly. In the area of operations, we now have cloud and on-premises OLTP systems with customers, partners and suppliers accessing these applications via APIs and mobile apps. In the area of analytics, we now have data warehouse, data marts, big data Hadoop systems, NoSQL databases, streaming data platforms, cloud storage, cloud data warehouses, and IoT-generated data being created at the edge. Also, the number of data sources is exploding as companies ingest more and more external data such as weather and open government data. Silos have also appeared everywhere as business users are buying in self-service data preparation tools without consideration for how these tools integrate with what IT is using to integrate data. Yet new regulations are demanding that we do a better job of governing data, and business executives are demanding more agility to remain competitive in a digital economy. So how can companies remain agile, reduce cost and reduce the time-to-value when data complexity is on the up?
In this session, Mike will discuss how companies can create an information supply chain to manufacture business-ready data and analytics to reduce time to value and improve agility while also getting data under control.
Date: 13th November 2018
Location: Governance and MDM Theatre
Time: 12:30 - 13:00
Organisation: Immuta
About: Artificial intelligence is rising in importance, but it’s also increasingly at loggerheads with data protection regimes like the GDPR—or so it seems. In this talk, Sophie will explain where and how AI and GDPR conflict with one another, and how to resolve these tensions.
Big Data LDN 2018: REALISING THE PROMISE OF SELF-SERVICE ANALYTICS WITH DATA ...Matt Stubbs
Date: 13th November 2018
Location: Governance and MDM Theatre
Time: 11:50 - 12:20
Speaker: Mark Pritchard
Organisation: Denodo
About: Self-service analytics promises to liberate business users to perform analytics without the assistance of IT, and this in turn promises to free IT to focus on enhancing the infrastructure.
Join us to learn how data virtualization will allow you to gain real-time access to enterprise-wide data and deliver self-service analytics. We will explore how you can seamlessly unify fragmented data, replace your high-maintenance and high cost data integrations with a single, low-maintenance data virtualization layer; and how you can preserve your data integrity and ensure data lineage is fully traceable.
Big Data LDN 2018: TURNING MULTIPLE DATA LAKES INTO A UNIFIED ANALYTIC DATA L...Matt Stubbs
Date: 13th November 2018
Location: Governance and MDM Theatre
Time: 11:10 - 11:40
Organisation: TIBCO
About: The big data phenomenon continues to accelerate, resulting in multiple data lakes at most organisations. However, according to Gartner, “Through 2019, 90% of the information assets from big data analytic efforts will be siloed and unusable across multiple business processes.”
Are you ready to unleash this data from these silos and deliver the insights your organisation needs to drive compelling customer experiences, innovative new products and optimized operations? In this session you will learn how to apply data virtualisation to: - Access, transform and deliver data from across your lakes, clouds and other data sources - Empower a range of analytic users and tools with all the data they need - Move rapidly to a modern and flexible data architecture for the long run In addition, you will see a demonstration of data virtualisation in action.
Big Data LDN 2018: CONSISTENT SECURITY, GOVERNANCE AND FLEXIBILITY FOR ALL WO...Matt Stubbs
Date: 14th November 2018
Location: Data-Driven Ldn Theatre
Time: 12:30 - 13:00
Organisation: Cloudera
About: The growth of public cloud is reinforcing the need to think more carefully about taking a consistent approach to data governance as technology teams build out a flexible and agile infrastructure to meet the demands of the business.
Join this session to learn more about Cloudera's recommended approach for enterprise-grade security and governance and how to ensure a consistent framework across private, public and on-premises environments.
Big Data LDN 2018: MICROLISE: USING BIG DATA AND AI IN TRANSPORT AND LOGISTICSMatt Stubbs
Date: 14th November 2018
Location: Data-Driven Ldn Theatre
Time: 11:10 - 11:40
Organisation: Microlise
About: Microlise are a leading provider of technology solutions to the transport and logistics industry worldwide. Discover how, with over 400,000 connected assets generating billions of messages a day, Microlise is evolving its platform to bring real-time analytics to its customers to improve safety, security and efficiency outcomes.
Big Data LDN 2018: EXPERIAN: MAXIMISE EVERY OPPORTUNITY IN THE BIG DATA UNIVERSEMatt Stubbs
Date: 14th November 2018
Location: Data-Driven Ldn Theatre
Time: 10:30 - 11:00
Speaker: Anna Matty
Organisation: Experian
About: Today there is a widespread focus on the 'how' in relation to problem solving. How can we gain better knowledge of what consumers want, or need? How can we be more efficient, reduce the cost to serve, or grow the lifetime value of a customer? But, how do you move to a place where you are not only solving a problem, you are redesigning the entire strategic potential of that problem? You are being armed with insight on what the problem is.
Data and innovation offer huge potential to revolutionise all markets. There is an opportunity to be one step ahead of the need, to redesign journeys and enhance enterprise strategies. To do this you need access to the most advanced analytics but also the best quality, including variations and types of data, and then the technology that can act on this insight. Data science can present a unique opportunity for uncovered growth and accelerate your business through strategic innovation – fast. In this session you will hear more about how today's analytics can move from a single task, to an ongoing strategic opportunity. An opportunity that helps you move at the speed of the market and helps you maximise every opportunity.
Big Data LDN 2018: A LOOK INSIDE APPLIED MACHINE LEARNINGMatt Stubbs
Date: 13th November 2018
Location: Data-Driven Ldn Theatre
Time: 13:10 - 13:40
Speaker: Brian Goral
Organisation: Cloudera
About: The field of machine learning (ML) ranges from the very practical and pragmatic to the highly theoretical and abstract. This talk describes several of the challenges facing organisations that want to leverage more of their data through ML, including some examples of the applied algorithms that are already delivering value in business contexts.
Big Data LDN 2018: DEUTSCHE BANK: THE PATH TO AUTOMATION IN A HIGHLY REGULATE...Matt Stubbs
Date: 13th November 2018
Location: Data-Driven Ldn Theatre
Time: 12:30 - 13:00
Speaker: Paul Wilkinson, Naveen Gupta
Organisation: Cloudera
About: Investment banks are faced with some of the toughest regulatory requirements in the world. In a market where data is increasing and changing at extraordinary rates the journey with data governance never ends.
In this session, Deutsche Bank will share their journey with big data and explain some of the processes and techniques they have employed to prepare the bank for today’s challenges and tomorrow’s opportunities.
Brought to you by Naveen Gupta, VP Software Engineering, Deutsche Bank and Paul Wilkinson, Principal Solutions Architect, Cloudera.
Big Data LDN 2018: FROM PROLIFERATION TO PRODUCTIVITY: MACHINE LEARNING DATA ...Matt Stubbs
Date: 14th November 2018
Location: Self-Service Analytics Theatre
Time: 13:50 - 14:20
Speaker: Stephanie McReynolds
Organisation: Alation
About: Raw data is proliferating at an enormous rate. But so are our derived data assets - hundreds of dashboards, thousands of reports, millions of transformed data sets. Self-service analytics have ensured that this noise is making it increasingly hard to understand and trust data for decision-making. This trust gap is holding your organisation back from business outcomes.
European analytics leaders have found a way to close the gap between data and decision-making. From MunichRe to Pfizer and Daimler, analytics teams are adopting data catalogues for thousands of self-service analytics users.
Join us in this session to hear how data catalogues that activate data by incorporating machine learning can:
• Increase analyst productivity 20-40%
• Boost the understanding of the nuances of data and
• Establish trust in data-driven decisions with agile stewardship
Big Data LDN 2018: DATA APIS DON’T DISCRIMINATEMatt Stubbs
Date: 13th November 2018
Location: Self-Service Analytics Theatre
Time: 15:50 - 16:20
Speaker: Nishanth Kadiyala
Organisation: Progress
About: The exploding API economy, combined with an advanced analytics market projected to reach $30 billion by 2019, is forcing IT to expose more and more data through APIs. Business analysts, data engineers, and data scientists are still not happy because their needs never really made it into the existing API strategies. This is because most APIs are designed for application integration, but not for the data workers who are looking for APIs that facilitate direct data access to run complex analytics. Data APIs are specifically designed to provide that frictionless data access experience to support analytics across standard interoperable interfaces such as OData (REST) or ODBC/JDBC (SQL). Consider expanding your API strategy to service the developers with open analytics in this $30 billion market.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
3. The Microsoft AI platform: Azure+AI
Cloud-powered AI for every developer
Services
Infrastructure
Tools
4.
5. Language
Speech
Search
Machine
Learning
Knowledge Vision
Spell
check
Speech API
Entity linking
Recommendation
API
Bing
autosuggest
Computer
vision
Emotion
Forecasting
Text to
speech
Thumbnail
generation
Anomaly
detection
Custom
recognition
(CRIS)
Bing
image search
Web language
model
Customer
feedback
analysis
Academic
knowledge
OCR, tagging,
captioning
Sentiment
scoring
Bing
news search
Bing
web search
Text analytics
Cognitive Services APIs
6. Why Microsoft Cognitive Services?
Easy Flexible Tested
Simple to add: just a few lines of code
required
Roll your own with REST APIs
GET A
KEY
Breadth of offerings helps you find the right
API for your app
Integrate into the language and platform of
your choice
Quality documentation, sample code, and
community support
Built by experts in their field from Microsoft
Research, Bing, and Azure Machine
Learning
7. Tap into rich
knowledge
amassed from
the web,
academia, or
your own data
Access billions of
web pages,
images, videos,
and news with
the power of
Bing APIs
Process text and
learn how to
recognize what
users want
Hear and speak
to your users by
filtering noise,
identifying
speakers, and
understanding
intent
Emerging
Cognitive
Services
technologies for
early adopters
From faces to
feelings, allow
your apps to
understand
images
and video
10. Clip Art Type 0 Non-clipart
Line Drawing Type 0 Non-Line Drawing
Black & White Image False
Type of image
Categories [{ “name”: “people_swimming”, “score”: 0.099609375 }]
Adult Content False
Adult Score 0.18533889949321747
Faces [{ “age”: 27, “gender”: “Male”, “faceRectangle”:
{“left”: 472, “top”: 258, “width”: 199, “height”: 199}}]
Content of image
Image colors
Dominant Color Background White
Dominant Color Foreground Grey
Dominant Colors White
Accent Color
15. Voice Recognition (speech-to-text)
Converts spoken audio to text
Voice Output (text-to-speech)
Synthesize audio from text
Speaker Recognition
Verification and Identification
Translator Speech
End-to-end, real-time speech translation
16.
17. Translator Text
Auto-detect language and translate to/from 60
supported languages.
Bing Spell Check
Help users correct spelling errors, recognize brand
names, slang, understand homophones as they type
Text Analytics
Detect sentiment, key phrases, topics and language
Web Language Model
Word breaking, next word completions
18.
19.
20. A variety of real-world applications
Vision Speech Language
Natural Language Processing
Intent: PlayCall
Knowledge
Here are the top results:
The purpose of Customer Life-cycle Management (CLM)
is to maximize both customer retention and .... Predictive
trend analysis provides business visibility.
Oct 28, 2015 – Here are FIVE key trends in 2014 that
would help marketers in rolling ... Of late, marketers are
looking at customer lifecycle management (CLM)
Jan 5, 2016 – The top 10 customer service trends for
2016 that .... North American Consumer
Search
Here is what I found:
It also investigates the top three expected
Fraud Detection and Prevention programs, in
terms of demand in key markets…
First, let’s point out that there is not one
absolute answer—there are “pros” and “cons”
to each. Those who favor in-house…
Michael heads fraud prevention tool. Online
and mobile shopping are expected to continue
growing apace…
26. • Cognitive Service (demo & documentation):
• www.microsoft.com/cognitive
• Resources on AI @ Microsoft:
• www.microsoft.com/ai
• https://blogs.microsoft.com/ai/
• Meetups and Conferences
• MooCs / Online training:
• http://edx.org
Some resources to get you started…
