In this presentation, Microsoft data scientists Ben Keen and Shahzia Holtom cover an introduction to data science with respect to:
- What is a data scientist?
- What data does a data scientist need?
- AI ethics and responsibility
- What is MLOps and how does it drive value?
Webinar: Question Answering and Virtual Assistants with Deep LearningLucidworks
In this webinar, we’ll look at how Deep Learning can be used to create Question Answering (QA) and Virtual Assistant type systems.
You will learn about:
- Typical use cases of QA systems in finance, insurance, and ecommerce
- The power of neural search compared to traditional keyword search
- The challenges of large-scale neural search and how to overcome them
Presenters:
Sava Kalbachou, AI Research Engineer, Lucidworks
Andy Liu, Senior Data Scientist, Lucidworks
Justin Sears, VP of Product Marketing, Lucidworks
The meetup agenda outlines presentations on using BellaDati's agile analytics and reporting tool. The morning sessions cover creating quick reports, collaboration features, and industry-specific app templates. The afternoon advanced analytics session with Peter Fedorocko highlights BellaDati's integrated data warehouse, ETL scripts, and capabilities for analyzing Twitter, MongoDB, and other data sources.
This document provides an overview and sales presentation of Splunk software capabilities. Some key points:
- Splunk is a software platform that allows users to search, monitor and analyze machine-generated data for security and operational intelligence.
- It can index and search data from many different sources like servers, applications, networks and more.
- Splunk offers scalability to handle indexing and searching large volumes of data up to terabytes per day across multiple data centers.
- The software provides features like search and investigation, proactive monitoring, operational visibility and real-time business insights.
Achieving strong and lasting customer relationships through increased agents proficiency and reliability with IBM Watson Explorer. Discover its benefits!
How AI-Powered Search Drives Employee ExperienceLucidworks
This document discusses how AI-powered search can drive employee experience. It begins by defining digital transformation according to several sources and noting that skills involving hands-on problem solving will be less susceptible to automation. It then discusses how search is evolving from intranets and portals to being more connected. The rest of the document focuses on how an AI-powered search solution can help with exploration of information, integration of different data sources, and curation of search results through personalization and recommendations. It maintains search is crucial for digital transformation and improving employee engagement and productivity.
Explore, analyze and interpret information for better business outcomes
IBM Watson Explorer is a cognitive exploration solution that combines search and content analytics with unique cognitive
computing capabilities to help users find and understand the information they need to work more efficiently and make better, more confident decisions.
To learn more about IBM Watson Explorer visit ibm.biz/watsonexplorer.
Join 2017_Deep Dive_Integrating Looker with R and PythonLooker
Looker can help data scientists by making data preparation easier and allowing them to publish the results of their analyses and models in an interactive way within Looker. Specifically, Looker allows data scientists to leverage existing LookML models and data via its API to build advanced analytics models and return prediction probabilities to databases, and then publish the results in Looker for exploration and alerts. An example is shown of using behavioral and demographic data to understand which new ecommerce customers are likely to spend the most and guide a limited marketing budget.
In this presentation, Microsoft data scientists Ben Keen and Shahzia Holtom cover an introduction to data science with respect to:
- What is a data scientist?
- What data does a data scientist need?
- AI ethics and responsibility
- What is MLOps and how does it drive value?
Webinar: Question Answering and Virtual Assistants with Deep LearningLucidworks
In this webinar, we’ll look at how Deep Learning can be used to create Question Answering (QA) and Virtual Assistant type systems.
You will learn about:
- Typical use cases of QA systems in finance, insurance, and ecommerce
- The power of neural search compared to traditional keyword search
- The challenges of large-scale neural search and how to overcome them
Presenters:
Sava Kalbachou, AI Research Engineer, Lucidworks
Andy Liu, Senior Data Scientist, Lucidworks
Justin Sears, VP of Product Marketing, Lucidworks
The meetup agenda outlines presentations on using BellaDati's agile analytics and reporting tool. The morning sessions cover creating quick reports, collaboration features, and industry-specific app templates. The afternoon advanced analytics session with Peter Fedorocko highlights BellaDati's integrated data warehouse, ETL scripts, and capabilities for analyzing Twitter, MongoDB, and other data sources.
This document provides an overview and sales presentation of Splunk software capabilities. Some key points:
- Splunk is a software platform that allows users to search, monitor and analyze machine-generated data for security and operational intelligence.
- It can index and search data from many different sources like servers, applications, networks and more.
- Splunk offers scalability to handle indexing and searching large volumes of data up to terabytes per day across multiple data centers.
- The software provides features like search and investigation, proactive monitoring, operational visibility and real-time business insights.
Achieving strong and lasting customer relationships through increased agents proficiency and reliability with IBM Watson Explorer. Discover its benefits!
How AI-Powered Search Drives Employee ExperienceLucidworks
This document discusses how AI-powered search can drive employee experience. It begins by defining digital transformation according to several sources and noting that skills involving hands-on problem solving will be less susceptible to automation. It then discusses how search is evolving from intranets and portals to being more connected. The rest of the document focuses on how an AI-powered search solution can help with exploration of information, integration of different data sources, and curation of search results through personalization and recommendations. It maintains search is crucial for digital transformation and improving employee engagement and productivity.
Explore, analyze and interpret information for better business outcomes
IBM Watson Explorer is a cognitive exploration solution that combines search and content analytics with unique cognitive
computing capabilities to help users find and understand the information they need to work more efficiently and make better, more confident decisions.
To learn more about IBM Watson Explorer visit ibm.biz/watsonexplorer.
Join 2017_Deep Dive_Integrating Looker with R and PythonLooker
Looker can help data scientists by making data preparation easier and allowing them to publish the results of their analyses and models in an interactive way within Looker. Specifically, Looker allows data scientists to leverage existing LookML models and data via its API to build advanced analytics models and return prediction probabilities to databases, and then publish the results in Looker for exploration and alerts. An example is shown of using behavioral and demographic data to understand which new ecommerce customers are likely to spend the most and guide a limited marketing budget.
AWS Partner Webcast - Analyze Big Data for Consumer Applications with Looker ...Amazon Web Services
Analyze Big Data for Consumer Applications with Looker BI and Amazon Redshift Customizing the customer experience based on user behavior is a constant challenge for today’s consumer apps. Business intelligence helps analyze and model large amounts of data. Looker offers a modern approach to BI leveraging AWS that’s fast, agile, and easy to manage. Join this webinar to learn how MessageMe, which provides emotionally engaging messaging apps to consumers, leverages Looker business intelligence software and the Amazon Redshift data warehouse service to analyze billions of rows of customer data in seconds.
Webinar topics include:
• How MessageMe turns billions of rows of customer data stored in Amazon Redshift into actionable insights
• How Looker connects directly to Amazon Redshift in just a few clicks, enabling MessageMe to build a modern, big data analytics in the cloud. Who should attend
• Information or Solution Architects, Data Analysts, BI Directors, DBAs, Development Leads, Developers, or Technical IT Leaders.
Presenters:
• Justin Rosenthal, CTO, MessageMe
• Keenan Rice, VP, Marketing & Alliances, Looker
• Tina Adams, Senior Product Manager, AWS
Traditional BI promises security and scale, but at what cost? Often, working with data, finding answers and sharing them can be laborious and time intensive. The rapid growth and maturation of cloud technologies offers an easier path.
With Tableau and AWS you can move your BI to the cloud and deliver the security and scale of your traditional BI, but with accessibility, flexibility, and speed. Take a closer look at the benefits of cloud BI, and how you can get started today.
Analytics in a Day Ft. Synapse Virtual WorkshopCCG
Say goodbye to data silos! Analytics in a Day will simplify and accelerate your journey towards the modern data warehouse. Join CCG and Microsoft for a half-day virtual workshop, hosted by James McAuliffe.
Analytics in a Day Ft. Synapse Virtual WorkshopCCG
Say goodbye to data silos! Analytics in a Day will simplify and accelerate your journey towards the modern data warehouse. Join CCG and Microsoft for a half-day virtual workshop, hosted by James McAuliffe.
Conversational Artificial Intelligence with Ben Tomlinson and Wayne ThompsonDatabricks
Communicating information to each other is at the heart of the human experience. Data, and the analysis of it, often drives this communication in a business setting. This session aims to give you an understanding of how advances in Artificial Intelligence, specifically Natural Language Interaction (NLI), Natural Language Generation coupled with Deep Learning can create new and exciting opportunities for building analytical based chatbots.
We will talk about how to design and train an NLI system that map requests to deep learning pipelines to derive insights. You will also learn how to apply NLG templates to help facilitate improved understanding and interaction with the chat-bot.
Watson Analytics is a self-service analytics tool that allows non-technical users to access, analyze, and visualize their data without needing data scientists or IT resources. It uses natural language processing to help users ask questions of their data and provides guided predictive analytics to spark new insights. The tool delivers answers with confidence ratings and enables users to author dashboards and stories to communicate their findings to others.
IBM Watson overview presented by Mike Pointer, Watson Sr. Solution Architect, at Penn State's Nittany Watson Challenge Immersion event on January 19-20, 2017.
IT Summit - Modernizing Enterprise Analytics: the IT StoryTableau Software
This document provides an overview of Tableau Server and its architecture. It describes the various components of Tableau Server including the gateway, application server, repository, search and browse, data sources, drivers, VizQL server, cache server, data engine, file store, and backgrounder. It also discusses deployment architectures ranging from a single machine trial installation to an enterprise deployment with multiple nodes. Key aspects around scalability, high availability, security, and support for self-service analytics are covered.
Simplifying AI and Machine Learning with Watson StudioDataWorks Summit
Are you seeing benefits from big data, AI and machine learning? Some companies are challenged by the complexity of the tools, access to quality data and the ability to operationalize these technologies. IBM’s Watson Studio addresses the needs of developers, data scientists and business analysts – who need to create, train and deploy machine and deep learning models, analyze and visualize data – all in an easy-to-use platform. Watson Studio supports Apple’s Core ML with Watson Visual Recognition service. It provides a suite of tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data and use that data to build, train and deploy models at scale. When coupled with IBM Watson Knowledge Catalog, it enables companies to create a secure catalog of AI assets including datasets, documents and models. In this session, you will learn how to use these new offerings to solve real world business problems and infuse AI into your business to drive innovation.
Speaker
Sumit Goyal, IBM, Software Engineer
IBM Watson is a question answering computer system created by IBM to apply natural language processing, information retrieval, knowledge representation and automated reasoning to answer questions posed in natural language. It consists of 90 IBM Power 750 servers with 2880 POWER7 cores and can operate at 80 teraflops. Watson was initially created to compete on the game show Jeopardy! where it won against human champions in 2011. It has since been applied to answering customer service questions, analyzing news and text, and providing medical diagnoses.
Leveraging the Cloud for BI Infrastructure: With Focus on and Demos of Micros...Senturus
Get a better understanding of the array of Cloud offerings for your BI infrastructure plus, a demo of spinning up an Azure instance. View the webinar recording: http://www.senturus.com/resources/microsoft-azures-value-proposition-for-bi/.
Senturus, a business analytics consulting firm, has a resource library with hundreds of free recorded webinars, trainings, demos and unbiased product reviews. Take a look and share them with your colleagues and friends: http://www.senturus.com/resources/.
Frank Bien, CEO of Looker - along with Amazon, Google and other data disrupters - discuss how innovators are deeply integrating analytics into every aspect of their businesses, from mobile to warehouse to cloud.
Frank shares Looker’s vision for the future of business intelligence and data analytics and reveal pivotal product and partnership updates.
Building Data Analytics pipelines in the cloud using serverless technologyDomino Data Lab
Big Data analytics is well known to uncover hidden insights that gives an organization an edge over the competition. But data does not need to be big in order to be useful. Smaller companies and startups may lack the volume of data that qualifies as big data, yet the variety of data can still yield a trove of insights that helps in driving the business strategies of a company. Startups may also lack the resources to fund an additional, seemingly expensive development project. The key is in simplicity, start small, simple and architect for scalability and performance. But how do you start? In this presentation, we share our experience in building a cost effective, AWS serverless data analytics platform that became an invaluable tool for sales, marketing and operational efficiencies.Serverless architectures simplify development work where servers and software are managed by a third party cloud provider. Developers can focus on just building the data wrangling and data analysis logic where critical aspects like scalability and high availability are guaranteed by the cloud provider. Besides, serverless services offer the pay as you go model, where you pay only based on the amount of resources you use. This turns out to be another attractive aspect where costs can be managed based on the usage. In this presentation we will focus on techniques and best practices to build a big data analytics platform using AWS serverless services like Lambda, DynamoDB, S3, Kinesis, Athena, QuickSight and Amazon ML. We will highlight the strengths of each of these services and what role each plays in the data analytics pipeline. We compare and contrast these services with some of the other popularly used big data technologies like Hadoop, Spark and Kafka. We also demonstrate the usage of these services to build intelligent components that detect anomalies, yield recommendations, simulate chat bots and generate predictive analytics.
SharePoint Inspired 'Get more from your data with Office 365'Xylos
This document provides an agenda for a SharePoint Inspired training day event. The agenda includes sessions on Office 365 news and updates, Delve, Search and My Analytics, Microsoft Flow and PowerApps, and PowerBI. There will also be a closing reception. The document discusses the services that the SharePoint consulting firm Smart Digitals provides, including architecture, migrations, development, and training. It summarizes upcoming Microsoft Flow and PowerApps capabilities and provides demos of Delve, MyAnalytics, Flow and PowerApps. Q&A is scheduled at the end.
At the core of the Service-Oriented Architecture (SOA) vision is the concept of a ‘service bus’
that can route messages and notifications between any services, whether developed in-house,
purchased from a third-party, or hosted over the Internet. A similar opportunity exists for inte-
grating the complete workflow between people and applications. Routing messages and noti-
fications between applications and their users (and all of those users’ myriad new mobile and
multimedia devices) calls for a Syndication-Oriented Architecture that can unlock a new level of
business intelligence.
How Big Data can drive innovative technologies and new approaches in large or...Nick Brown
AstraZeneca is exploring how big data and new technologies can drive innovation. They have established technology incubation labs in San Francisco, Cambridge, and Shanghai to tap into emerging technologies. The company has implemented an enterprise search platform powered by Sinequa to search over 180 million documents. This search engine underlies applications like an approvals mobile app and tools for finding experts within the company. AstraZeneca continues to enhance usability and test new approaches like predictive modeling and in-video search capabilities.
AWS Partner Webcast - Analyze Big Data for Consumer Applications with Looker ...Amazon Web Services
Analyze Big Data for Consumer Applications with Looker BI and Amazon Redshift Customizing the customer experience based on user behavior is a constant challenge for today’s consumer apps. Business intelligence helps analyze and model large amounts of data. Looker offers a modern approach to BI leveraging AWS that’s fast, agile, and easy to manage. Join this webinar to learn how MessageMe, which provides emotionally engaging messaging apps to consumers, leverages Looker business intelligence software and the Amazon Redshift data warehouse service to analyze billions of rows of customer data in seconds.
Webinar topics include:
• How MessageMe turns billions of rows of customer data stored in Amazon Redshift into actionable insights
• How Looker connects directly to Amazon Redshift in just a few clicks, enabling MessageMe to build a modern, big data analytics in the cloud. Who should attend
• Information or Solution Architects, Data Analysts, BI Directors, DBAs, Development Leads, Developers, or Technical IT Leaders.
Presenters:
• Justin Rosenthal, CTO, MessageMe
• Keenan Rice, VP, Marketing & Alliances, Looker
• Tina Adams, Senior Product Manager, AWS
Traditional BI promises security and scale, but at what cost? Often, working with data, finding answers and sharing them can be laborious and time intensive. The rapid growth and maturation of cloud technologies offers an easier path.
With Tableau and AWS you can move your BI to the cloud and deliver the security and scale of your traditional BI, but with accessibility, flexibility, and speed. Take a closer look at the benefits of cloud BI, and how you can get started today.
Analytics in a Day Ft. Synapse Virtual WorkshopCCG
Say goodbye to data silos! Analytics in a Day will simplify and accelerate your journey towards the modern data warehouse. Join CCG and Microsoft for a half-day virtual workshop, hosted by James McAuliffe.
Analytics in a Day Ft. Synapse Virtual WorkshopCCG
Say goodbye to data silos! Analytics in a Day will simplify and accelerate your journey towards the modern data warehouse. Join CCG and Microsoft for a half-day virtual workshop, hosted by James McAuliffe.
Conversational Artificial Intelligence with Ben Tomlinson and Wayne ThompsonDatabricks
Communicating information to each other is at the heart of the human experience. Data, and the analysis of it, often drives this communication in a business setting. This session aims to give you an understanding of how advances in Artificial Intelligence, specifically Natural Language Interaction (NLI), Natural Language Generation coupled with Deep Learning can create new and exciting opportunities for building analytical based chatbots.
We will talk about how to design and train an NLI system that map requests to deep learning pipelines to derive insights. You will also learn how to apply NLG templates to help facilitate improved understanding and interaction with the chat-bot.
Watson Analytics is a self-service analytics tool that allows non-technical users to access, analyze, and visualize their data without needing data scientists or IT resources. It uses natural language processing to help users ask questions of their data and provides guided predictive analytics to spark new insights. The tool delivers answers with confidence ratings and enables users to author dashboards and stories to communicate their findings to others.
IBM Watson overview presented by Mike Pointer, Watson Sr. Solution Architect, at Penn State's Nittany Watson Challenge Immersion event on January 19-20, 2017.
IT Summit - Modernizing Enterprise Analytics: the IT StoryTableau Software
This document provides an overview of Tableau Server and its architecture. It describes the various components of Tableau Server including the gateway, application server, repository, search and browse, data sources, drivers, VizQL server, cache server, data engine, file store, and backgrounder. It also discusses deployment architectures ranging from a single machine trial installation to an enterprise deployment with multiple nodes. Key aspects around scalability, high availability, security, and support for self-service analytics are covered.
Simplifying AI and Machine Learning with Watson StudioDataWorks Summit
Are you seeing benefits from big data, AI and machine learning? Some companies are challenged by the complexity of the tools, access to quality data and the ability to operationalize these technologies. IBM’s Watson Studio addresses the needs of developers, data scientists and business analysts – who need to create, train and deploy machine and deep learning models, analyze and visualize data – all in an easy-to-use platform. Watson Studio supports Apple’s Core ML with Watson Visual Recognition service. It provides a suite of tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data and use that data to build, train and deploy models at scale. When coupled with IBM Watson Knowledge Catalog, it enables companies to create a secure catalog of AI assets including datasets, documents and models. In this session, you will learn how to use these new offerings to solve real world business problems and infuse AI into your business to drive innovation.
Speaker
Sumit Goyal, IBM, Software Engineer
IBM Watson is a question answering computer system created by IBM to apply natural language processing, information retrieval, knowledge representation and automated reasoning to answer questions posed in natural language. It consists of 90 IBM Power 750 servers with 2880 POWER7 cores and can operate at 80 teraflops. Watson was initially created to compete on the game show Jeopardy! where it won against human champions in 2011. It has since been applied to answering customer service questions, analyzing news and text, and providing medical diagnoses.
Leveraging the Cloud for BI Infrastructure: With Focus on and Demos of Micros...Senturus
Get a better understanding of the array of Cloud offerings for your BI infrastructure plus, a demo of spinning up an Azure instance. View the webinar recording: http://www.senturus.com/resources/microsoft-azures-value-proposition-for-bi/.
Senturus, a business analytics consulting firm, has a resource library with hundreds of free recorded webinars, trainings, demos and unbiased product reviews. Take a look and share them with your colleagues and friends: http://www.senturus.com/resources/.
Frank Bien, CEO of Looker - along with Amazon, Google and other data disrupters - discuss how innovators are deeply integrating analytics into every aspect of their businesses, from mobile to warehouse to cloud.
Frank shares Looker’s vision for the future of business intelligence and data analytics and reveal pivotal product and partnership updates.
Building Data Analytics pipelines in the cloud using serverless technologyDomino Data Lab
Big Data analytics is well known to uncover hidden insights that gives an organization an edge over the competition. But data does not need to be big in order to be useful. Smaller companies and startups may lack the volume of data that qualifies as big data, yet the variety of data can still yield a trove of insights that helps in driving the business strategies of a company. Startups may also lack the resources to fund an additional, seemingly expensive development project. The key is in simplicity, start small, simple and architect for scalability and performance. But how do you start? In this presentation, we share our experience in building a cost effective, AWS serverless data analytics platform that became an invaluable tool for sales, marketing and operational efficiencies.Serverless architectures simplify development work where servers and software are managed by a third party cloud provider. Developers can focus on just building the data wrangling and data analysis logic where critical aspects like scalability and high availability are guaranteed by the cloud provider. Besides, serverless services offer the pay as you go model, where you pay only based on the amount of resources you use. This turns out to be another attractive aspect where costs can be managed based on the usage. In this presentation we will focus on techniques and best practices to build a big data analytics platform using AWS serverless services like Lambda, DynamoDB, S3, Kinesis, Athena, QuickSight and Amazon ML. We will highlight the strengths of each of these services and what role each plays in the data analytics pipeline. We compare and contrast these services with some of the other popularly used big data technologies like Hadoop, Spark and Kafka. We also demonstrate the usage of these services to build intelligent components that detect anomalies, yield recommendations, simulate chat bots and generate predictive analytics.
SharePoint Inspired 'Get more from your data with Office 365'Xylos
This document provides an agenda for a SharePoint Inspired training day event. The agenda includes sessions on Office 365 news and updates, Delve, Search and My Analytics, Microsoft Flow and PowerApps, and PowerBI. There will also be a closing reception. The document discusses the services that the SharePoint consulting firm Smart Digitals provides, including architecture, migrations, development, and training. It summarizes upcoming Microsoft Flow and PowerApps capabilities and provides demos of Delve, MyAnalytics, Flow and PowerApps. Q&A is scheduled at the end.
At the core of the Service-Oriented Architecture (SOA) vision is the concept of a ‘service bus’
that can route messages and notifications between any services, whether developed in-house,
purchased from a third-party, or hosted over the Internet. A similar opportunity exists for inte-
grating the complete workflow between people and applications. Routing messages and noti-
fications between applications and their users (and all of those users’ myriad new mobile and
multimedia devices) calls for a Syndication-Oriented Architecture that can unlock a new level of
business intelligence.
How Big Data can drive innovative technologies and new approaches in large or...Nick Brown
AstraZeneca is exploring how big data and new technologies can drive innovation. They have established technology incubation labs in San Francisco, Cambridge, and Shanghai to tap into emerging technologies. The company has implemented an enterprise search platform powered by Sinequa to search over 180 million documents. This search engine underlies applications like an approvals mobile app and tools for finding experts within the company. AstraZeneca continues to enhance usability and test new approaches like predictive modeling and in-video search capabilities.
How Authentication, Collection & Reporting Strengthen OSINT's ValueVere Software
WebCase software helps strengthen the value of open-source intelligence (OSINT) by allowing analysts to efficiently collect, store, and report on online information. It addresses challenges like the large quantity, speed, and varying quality of online data by authenticating collections, attaching related exhibits, and automatically generating reports. This helps analysts produce actionable intelligence while managing costs and work across teams. Vere Software provides WebCase and other solutions to support online investigations and documentation.
Atlassian is a global software company with over 2,000 employees across 6 offices worldwide. Their mission is to unleash the potential in every team by providing products that help teams organize, discuss, and complete work. Their products are designed to be easy to use, versatile, integrated, and open. Atlassian provides products for software teams, IT teams, and business teams to help with tasks like planning projects, tracking issues, collaborating on documents, and communicating in real-time.
Knowledge Studio text analytics add-on is an industry-first application that combines visual text discovery and sentiment analysis with the power of predictive analytics. It delivers unparalleled voice of the customer insights to support customer experience management.
The NetBase Insight API allows companies to integrate social media insight and analysis into their applications by providing automated sentiment analysis, opinions, emotions, and behaviors from social media and other data sources. It uses natural language processing that is over 80% accurate to analyze text and identify deeper consumer insights compared to statistical keyword matching. The API delivers insights through a cloud-based web service using standard formats like JSON to provide fast, flexible insights that can help drive better business decisions.
Power apps is a low code development platform created to be used by citizen developers. It has an array of apps, connectors, services and data platform that provides an immediate application development environment to build custom apps for your following business requirements. Well, by using power apps, you can immediately create custom apps that connect to your business data that has been stored in the underlying data platforms, which is the standard data service for the apps on-premises or in various data sources.
Introduction to Microsoft Viva and the Employee Experience Platform with Joel...Joel Oleson
This document provides an introduction to Microsoft Viva, a new employee experience platform. It discusses how Microsoft Teams is an extensible application platform used by over 145 million daily active users. It then introduces Viva as integrating communications, knowledge, learning, and insights into a unified employee experience. The rest of the document outlines the various modules within Viva including Topics, Learning, Connections, and Insights. It discusses getting started on implementing Viva and how TeamsHUB and Cyclotron can help with information architecture, development strategies, and deployments.
Visionet Business Intelligence Solutions - Is your Business Intelligence real...Visionet Systems, Inc.
Business intelligence systems promise to present one version of the truth by pulling data from multiple internal and external sources. However, getting accurate insights is challenging because data is often disparate and inconsistent. Visionet helps companies address this issue through enterprise data management practices like data standards and governance. They use a comprehensive methodology involving extraction, transformation, loading of data as well as application and metadata repository development to help organizations make informed decisions based on clean unified information.
Introducing Flow & PowerApps - "Power to the people"Xylos
This document introduces Microsoft Flow and PowerApps as tools for citizen developers and power users to build automated workflows and apps without extensive coding. Flow enables powerful workflow automation across connected systems using connectors. PowerApps allows users to build apps, forms, and business solutions on any device. The document demonstrates sample apps and flows, discusses pricing plans, and notes both benefits like easy setup and integration, and limitations like some capabilities remaining difficult without coding.
This document discusses seven potential machine learning use cases for organizations:
1) Improve employee productivity by enabling fast, accurate information searching.
2) Automatically extract and analyze data from documents to gain insights.
3) Add intelligence to contact centers to improve customer service and reduce costs.
4) Make personalized recommendations to increase customer engagement.
5) Analyze media assets to increase their value through improved search and monetization.
6) Forecast demand and other metrics more accurately to meet customer needs.
7) Identify potential fraudulent online activities using pattern recognition in data.
This document provides an overview of Microsoft's Azure Machine Learning solution. It discusses why machine learning is important, describes the Cortana Analytics Suite and its components, and provides a high-level view of Azure Machine Learning. It then demonstrates Azure ML Studio with a sample demo and discusses market trends in machine learning platforms and vendors.
CXAIR is a new business intelligence tool that uses search engine technology to allow fast and easy analysis of large datasets. It can search across multiple data sources and provide sub-second responses to natural language queries. Unlike traditional BI solutions, CXAIR does not require data aggregation or knowledge of SQL/MDX. It provides a more user-friendly interface that is optimized for speed without sacrificing the ability to drill down into detail. The document argues that search technology is the future of business analytics as it can better handle the increasing volumes of data available.
Building Customer Feedback Loops: Learn Quicker, Design SmarterTechWell
Listening to your customers is critical to developing better software. Their feedback enables you to stay in sync with customer expectations, to make changes before those changes become costly, and to pivot if necessary. Sharif shares five practical tips for building, capturing, and scaling feedback loops, providing real examples of what his team has learned. He explores how to create a feedback strategy, how to make feedback fun using gamification techniques, tips and tricks for reducing friction in the process, how to validate ideas before writing a single line of code, and how to manage the process when you get too much feedback. Each of these techniques provides a deeper understanding of your customers, making software development more effective and productive. Don’t finish your next software project thinking, “I wish I’d known that earlier.” Obtaining valuable feedback is easier and more fun than you might think.
International Cancer Survivors Day is celebrated during June, placing the spotlight not only on cancer survivors, but also their caregivers.
CANSA has compiled a list of tips and guidelines of support:
https://cansa.org.za/who-cares-for-cancer-patients-caregivers/
Under Pressure : Kenneth Kruk's StrategyKenneth Kruk
Kenneth Kruk's story of transforming challenges into opportunities by leading successful medical record transitions and bridging scientific knowledge gaps during COVID-19.
Deep Leg Vein Thrombosis (DVT): Meaning, Causes, Symptoms, Treatment, and Mor...The Lifesciences Magazine
Deep Leg Vein Thrombosis occurs when a blood clot forms in one or more of the deep veins in the legs. These clots can impede blood flow, leading to severe complications.
Hypertension and it's role of physiotherapy in it.Vishal kr Thakur
This particular slides consist of- what is hypertension,what are it's causes and it's effect on body, risk factors, symptoms,complications, diagnosis and role of physiotherapy in it.
This slide is very helpful for physiotherapy students and also for other medical and healthcare students.
Here is summary of hypertension -
Hypertension, also known as high blood pressure, is a serious medical condition that occurs when blood pressure in the body's arteries is consistently too high. Blood pressure is the force of blood pushing against the walls of blood vessels as the heart pumps it. Hypertension can increase the risk of heart disease, brain disease, kidney disease, and premature death.
Dr. David Greene R3 stem cell Breakthroughs: Stem Cell Therapy in CardiologyR3 Stem Cell
Dr. David Greene, founder and CEO of R3 Stem Cell, is at the forefront of groundbreaking research in the field of cardiology, focusing on the transformative potential of stem cell therapy. His latest work emphasizes innovative approaches to treating heart disease, aiming to repair damaged heart tissue and improve heart function through the use of advanced stem cell techniques. This research promises not only to enhance the quality of life for patients with chronic heart conditions but also to pave the way for new, more effective treatments. Dr. Greene's work is notable for its focus on safety, efficacy, and the potential to significantly reduce the need for invasive surgeries and long-term medication, positioning stem cell therapy as a key player in the future of cardiac care.
PET CT beginners Guide covers some of the underrepresented topics in PET CTMiadAlsulami
This lecture briefly covers some of the underrepresented topics in Molecular imaging with cases , such as:
- Primary pleural tumors and pleural metastases.
- Distinguishing between MPM and Talc Pleurodesis.
- Urological tumors.
- The role of FDG PET in NET.
About this webinar: This talk will introduce what cancer rehabilitation is, where it fits into the cancer trajectory, and who can benefit from it. In addition, the current landscape of cancer rehabilitation in Canada will be discussed and the need for advocacy to increase access to this essential component of cancer care.
INFECTION OF THE BRAIN -ENCEPHALITIS ( PPT)blessyjannu21
Neurological system includes brain and spinal cord. It plays an important role in functioning of our body. Encephalitis is the inflammation of the brain. Causes include viral infections, infections from insect bites or an autoimmune reaction that affects the brain. It can be life-threatening or cause long-term complications. Treatment varies, but most people require hospitalization so they can receive intensive treatment, including life support.
This particular slides consist of- what is hypotension,what are it's causes and it's effect on body, risk factors, symptoms,complications, diagnosis and role of physiotherapy in it.
This slide is very helpful for physiotherapy students and also for other medical and healthcare students.
Here is the summary of hypotension:
Hypotension, or low blood pressure, is when the pressure of blood circulating in the body is lower than normal or expected. It's only a problem if it negatively impacts the body and causes symptoms. Normal blood pressure is usually between 90/60 mmHg and 120/80 mmHg, but pressures below 90/60 are generally considered hypotensive.
Unlocking the Secrets to Safe Patient Handling.pdfLift Ability
Furthermore, the time constraints and workload in healthcare settings can make it challenging for caregivers to prioritise safe patient handling Australia practices, leading to shortcuts and increased risks.
Michigan HealthTech Market Map 2024. Includes 7 categories: Policy Makers, Academic Innovation Centers, Digital Health Providers, Healthcare Providers, Payers / Insurance, Device Companies, Life Science Companies, Innovation Accelerators. Developed by the Michigan-Israel Business Accelerator
Bringing AI into a Mid-Sized Company: A structured Approach
Watson Discovery Service
1. You constantly perform
under pressure. Now do it
at high velocity.
IBM Watson Discovery Service
helps developers quickly
create cognitive applications
that extract value from large
amounts of structured and
unstructured data.
2. The pervasive, ever-increasing growth of unstructured data offers incredible
opportunities…if you can unlock the data and capture signals fast enough.
Creating a new data pipeline often takes months, bogged down by time-
sucking engineering and integration problems. Meanwhile, business needs
change, data volumes increase and that new technology you planned to
introduce is already outdated. There has to be a better way.
What if you had access to a service that accelerated the creation of your apps?
What if you found a way to manage different types of data, housed in different
sources, without losing any of the advanced API, machine learning or other
features you may need? What if someone else took care of those integration
and engineering issues?
Watson Discovery Service is a set of APIs that takes care of all of that, so you
can rapidly build intelligent search and content analytics engines to extract
value from unstructured and structured data. Discovery also makes it easy to
scale. Start with a single proof of concept (you can build it in as quickly as a
day!) then scale rapidly across your organization.
Here’s how it works …
Automated ingestion, conversion, enrichment
and normalization
Discovery takes the drudgery out of the ingestion process. Simple tooling
allows you to upload your own data or publicly available data, convert and
normalize it, and enrich it with integrated Watson APIs. Other ingestion options
include using data crawler and conversion APIs, so you still have all the
flexibility and power while gaining time-saving automation.
Integrated Natural Language Processing (NLP)
enrichment options
Enrichments, like concepts, relationships, sentiment and tone allow machines
to understand text and other content. Applying those enrichments to massive
amounts of structured and unstructured data can reveal surprising and
actionable insights to improve customer experience, shorten time to value in
manufacturing, reduce call center wait times, and more. With Discovery, you
can easily apply the enrichments and immediately view how your data will look,
so you can fine-tune it before application.
Simplified query language
A built-in intuitive query language makes it easy for you to build and refine
queries that surface answers and patterns quickly and accurately. Then,
use REST APIs to embed your Discovery data into existing applications and
workflows, and put those new insights into the hands of employees to take
action and strengthen decision-making.
Pre-enriched news content, 24/7
With Discovery, you can query the world's news sources like a database. Take
advantage of constantly refreshed, ingested and enriched content from more
than 200K sources to perform highly targeted search and trend analysis. Go
beyond simple keyword-based searches without having to acquire, enrich and
store the data yourself.
Capabilities
Extract value from data in
less time, with less effort
Automation that streamlines
development without limiting
options
Bring your own data, use
public data or combine them
Rapidly create a proof of
concept and scale with ease
3. Simple tooling, or direct API calls—you choose
Discovery offers powerful yet simple tooling to make it easier to create data
pipelines for a wider range of developers, allowing teams and organizations
to gain more ground, faster, with existing resources. But you’re not limited to
the tooling. With Discovery, you can do everything with direct API calls and
still save time, thanks to the built-in integration and engineering.
Watson Discovery Service helps you build more quickly and get more
from all your data, with less pressure. Achieve more in less time. Try it
at ibm.biz/WatsonDiscovery
Try out Discovery today.
Potential uses
Help a customer service team
decrease support times, find
hidden insights on customer
pain points, behaviors and needs,
and improve agent productivity
Enable research teams to extract
the latest studies and insights
from journals, newsletters,
press releases and blogs to
provide consolidated industry
and domain-specific insights
Empower field service teams
to locate hard-to-find answers
in manuals, FAQ documents,
collaboration sites and more
Augment a chat bot or other
application created with Watson
Conversation to provide possible
responses to complex questions
without modeling intents