Build a Next-Generation Clinical Operational Metrics SolutionSaama
Srinivasan Anandakumar spoke at ExL's Clinical Performance Metrics Summit in Philadelphia on December 5, 2017. His talk includes discussion around how to manage and control both trial effectiveness and submission pathway through clinical metrics collected from operational data and patient data, how to get a 360-degree view of trial operations with a next-generation clinical operations repository, that contains all clinical domains—based on a Big Data platform with multiple varieties of data– sponsor, syndicated, and external data, and how to enable the AI to allow high levels of self-service and to provide predictive analytics on clinical operations data.
Enabling Better Clinical Operations through a Clinical Operations StoreSaama
Srini Anandakumar, Senior Director of Clinical Analytics Innovation for Saama, presented at the Big Data and Analytics in Pharma in Philadelphia, November 1, 2017.
SAS Big Data Forum - Transforming Big Data into Corporate GoldLouis Fernandes
Synopsis: How SAS believes organisations can turn Big Data in to competitive advantage through the use of High Performance Analytics.
In this presentations, we look at how SAS is seeing organisations take the outputs from big data analysis and turn them into tangible business outcomes through real-time decision-making.
In it, we explore:
- Why we believe organisations need to exploit their data assets to create the insights that build competitive advantage
- How to develop infrastructures required to support multi-dimentsional insight
- What SAS is doing to make this a reality
Key topics include:
- Data governance
- Big data infrastructure
- High performance analytics
- Data visualisation
About SAS:
- World’s largest, privately held software company,
- 35 years old
- Focus on advanced and predictive analytics right from the word go
- Big data has been in our DNA before it became mainstream
Technology Strategies for Big Data Analytics, Teradata Aster
SAS Presentation delivered at the Big Analytics Roadshow, 2012 in New York City on December 12, 2012
Presentation title: Technology Strategies for Big Data Analytics, by Bernard Blais, Global Strategist and Principal Manager, SAS
The exploding volume, complexity and velocity of big data present an increasing challenge to organizations, but also a significant opportunity to derive valuable insights. As organizations are tasked with managing massive data sets, it’s clear that the value of big data will be derived from the analytics that can be performed on it. Analytics is the key to identifying patterns, managing risks and tackling previously unsolvable problems. This presentation provides an overview of how to comprehensively tackle big data, including emerging strategies for information management, analytics, and high performance analytics.
The ultimate value of historical data lays in addressing the questions "what will happen?" and "what is the best that could happen?". This session will detail how SAP Predictive Analytics empowers business decision makers by making accurate predictions in an agile and self-service manner.
Overview of Watson Cognitive Reservoir Analytics, highlighting how cognitive technologies are ready to address the challenges of the Oil & Gas industry and to transform practices in the industry, in face of data overload, new frontiers, workforce and skills shortage. -Renato Cerqueira, Sr. Research Manager and Technical Team, IBM Research Brazil
Build a Next-Generation Clinical Operational Metrics SolutionSaama
Srinivasan Anandakumar spoke at ExL's Clinical Performance Metrics Summit in Philadelphia on December 5, 2017. His talk includes discussion around how to manage and control both trial effectiveness and submission pathway through clinical metrics collected from operational data and patient data, how to get a 360-degree view of trial operations with a next-generation clinical operations repository, that contains all clinical domains—based on a Big Data platform with multiple varieties of data– sponsor, syndicated, and external data, and how to enable the AI to allow high levels of self-service and to provide predictive analytics on clinical operations data.
Enabling Better Clinical Operations through a Clinical Operations StoreSaama
Srini Anandakumar, Senior Director of Clinical Analytics Innovation for Saama, presented at the Big Data and Analytics in Pharma in Philadelphia, November 1, 2017.
SAS Big Data Forum - Transforming Big Data into Corporate GoldLouis Fernandes
Synopsis: How SAS believes organisations can turn Big Data in to competitive advantage through the use of High Performance Analytics.
In this presentations, we look at how SAS is seeing organisations take the outputs from big data analysis and turn them into tangible business outcomes through real-time decision-making.
In it, we explore:
- Why we believe organisations need to exploit their data assets to create the insights that build competitive advantage
- How to develop infrastructures required to support multi-dimentsional insight
- What SAS is doing to make this a reality
Key topics include:
- Data governance
- Big data infrastructure
- High performance analytics
- Data visualisation
About SAS:
- World’s largest, privately held software company,
- 35 years old
- Focus on advanced and predictive analytics right from the word go
- Big data has been in our DNA before it became mainstream
Technology Strategies for Big Data Analytics, Teradata Aster
SAS Presentation delivered at the Big Analytics Roadshow, 2012 in New York City on December 12, 2012
Presentation title: Technology Strategies for Big Data Analytics, by Bernard Blais, Global Strategist and Principal Manager, SAS
The exploding volume, complexity and velocity of big data present an increasing challenge to organizations, but also a significant opportunity to derive valuable insights. As organizations are tasked with managing massive data sets, it’s clear that the value of big data will be derived from the analytics that can be performed on it. Analytics is the key to identifying patterns, managing risks and tackling previously unsolvable problems. This presentation provides an overview of how to comprehensively tackle big data, including emerging strategies for information management, analytics, and high performance analytics.
The ultimate value of historical data lays in addressing the questions "what will happen?" and "what is the best that could happen?". This session will detail how SAP Predictive Analytics empowers business decision makers by making accurate predictions in an agile and self-service manner.
Overview of Watson Cognitive Reservoir Analytics, highlighting how cognitive technologies are ready to address the challenges of the Oil & Gas industry and to transform practices in the industry, in face of data overload, new frontiers, workforce and skills shortage. -Renato Cerqueira, Sr. Research Manager and Technical Team, IBM Research Brazil
Sensors For The Lab & For Manufacturing: Early Adventures in IoTNick Brown
Marc Harrigan (senior business analyst) from my team presented at IoT World Dublin on November 21st 2016. He talks about our approach to understanding how IoT and sensors are changing our business, how it fits with our work in the Tech Labs for validating and prototyping emerging technologies. He also shares how it is an key enabler for future areas in machine learning and predictive analytics for pharmaceutical research, development and manufacturing.
Operational Intelligence: Real-Time Business Analytics for Big Data
Most business intelligence (BI) implementations are focussed on analysing what has happened, sometimes why things have happened. Often Business Intelligence provides no more than Business Insights. . Even so called “real-time” BI reports are generated using historical data. While this historical view of data has some value, it does not represent the complete picture. Fully-informed business decisions require real-time insight into high-volume streaming data sources, current events, and ongoing business processes.
Operational intelligence (OI) correlates the real-time analysis of big data in motion with historical data, delivering complete business insight in milliseconds. By continuously analyzing big data in motion, events, and business processes as they are happening, OI enables fully informed decisions that maximize business impact.
In this presentation, you will learn:
• What operational intelligence is and does, plus what technologies enable it
• Business and technology requirements that are driving user organizations toward true real-time analytics and reporting with big data
• Real-time applications for operational intelligence
Embracing Cloud Deployment for Big Data and Dev OpsNick Brown
Presentation by Steve Woodward, cloud solution engineer in my team at Cloud & DevOps World in London on June 22nd 2016. Overview about how we architect our cloud solutions using emerging technologies with elastic scaling, docker containers and novel services that our customers can use quickly - from sensors & streaming lab data, to predictive modelling and artificial intelligence.
This presentation shows how Predictive Analytics can be more futuristic than BI in using past events to predict the future.
Furthermore, we explore the best practices in Predictive Analytics, the challenges in deployment and how this solution can be used to create business value for the organization.
Presented by Ajay Gopikrishnan, our expert in Predictive Analytics and Data Mining at the BA4ALL (Business Analytics Insight 2014) event in the Netherlands.
http://www.capgemini.com/big-data-analytics
Choosing the Right Document Processing Solution for Healthcare OrganizationsProvectus
Looking to automate document processing in your healthcare organization? Learn from Provectus & AWS experts how to make data capture, conversion, and analytics more efficient. Process and manage documents faster and on a larger scale with AI & Machine Learning.
In this presentation, we offer management and engineering perspectives on document processing with AI, to help you explore available options. Whether you are looking for a ready-made solution or plan to build a custom solution of your own, this webinar will help you find the best fit for your healthcare use cases.
From Data Lakes to the Data Fabric: Our Vision for Digital StrategyCambridge Semantics
In this presentation for Strata NY 2018, we share our vision for digital innovation as a shift to something powerful, expedient and future-proof. This is accomplished through the use of a 'Data Fabric'. Utilizing graph technology, this Data Fabric connects enterprise data in an overlay fashion that does not disrupt current investments for unprecedented access to data. This interconnected and reliable data can then be used to automate scalable AI and ML efforts to improve business outcomes.
Destroy Data Siloes at Digital Innovations to Advance Clinical TrialsSaama
Digital Innovations, or Dpharm, organized by The Conference Forum was held in Boston in September 2018. Amit Gulwadi, Senior Vice President, Clinical Innovations, Saama Technologies, will be speaking on the topic Destroy Clinical Data Silos. Data Silos are a major roadblock in the clinical trial development process. Disparate data sources and multiple teams working on them increase complexities and delays. One solution to this can be building a comprehensive platform that will streamline clinical data to derive valuable insights.
Integratus solutions overview sap healthcare_in-memoryRon Lehman
Healthcare providers need a new approach to agile analytics. Old Data Warehouse technologies & approaches cant keep up with regulatory requirements. We deliver a best of both worlds, leveraging best practices for organizational roles & processes, together with best in available technology & pre-built content such as SAP HANA & Epic Cogito Data Warehouse.
An introduction to analytics is a small presentation made for increasing awareness on analytics with some case studies of applying analytics in different functions.
These case studies are from informs.org which were openly available when the presentation was made. Due to confidentiality related obligations my personal experiences were shared - without naming clients - during the presentation. However, the case studies cannot be share on the PPT here. For more details or inputs on analytics you can reach me at twitter - @krdpravin or LinkedIn - https://in.linkedin.com/in/krdpravin
Accelerate Digital Transformation with an Enterprise Big Data FabricCambridge Semantics
In this webinar by Cambridge Semantics' VP of Solution Engineering, Ben Szekely, you will learn more about how the Enterprise Data Fabric prevails as the bedrock of enterprise digital strategy. Connected and highly available data is the new normal - powering analytics and AI. The data lake itself is commoditized, like raw compute or disk, and becomes an unseen part of the stack. Semantic graph technology is central to Data Fabric initiatives that meaningfully contribute to digital transformation.
We share our vision for digital innovation - a shift to something powerful, expedient and future-proof. The Data Fabric connects enterprise data for unprecedented access in an overlay fashion that does not disrupt current investments. Interconnected and reliable data drives business outcomes by automating scalable AI and ML efforts. Graph technology is the way forward to realize this future.
What is "Next Generation" Analytics? How does it fit with my Business Vision?Sparkhound Inc.
At a recent Arkansas Lunch & Learn, Sparky Business Analyst Rusty Frioux discusses Sparkhound's end-to-end Business Intelligence & Analytics approach that drives business impact through technologies like SharePoint and Power BI. Learn what Business Intelligence & Analytics is and how to build the right strategy and tools for your business.
What is Big Data at SAP?
Overview: Big Data refers to the challenges of capturing, managing, and analyzing large volumes of various types of data with great velocity. Big Data presents a big opportunity for you to gain greater business value. From
major league sports and personalized shopping to carbon reduction and cancer treatment, organizations are leveraging Big Data to re-imagine what is possible.
Grab the Big Data opportunity with:
• SAP HANA platform – accelerate your ability to
acquire, analyze, and act on Big Data
• Analytic tools and applications – drive Big Data
insights directly into your business operations and
equip people to make data-driven decisions
• Data science services – uncover new signals to
discover new business opportunities
With an end-to-end offering from SAP, you can make
your Big Data project run in real-time, delivering real
results.
Understand the Demand of Analyst Opportunity in U.SJiaming Zhang
The slides summarize an analysis on the demand pattern of analyst opportunity (like data analyst, data science) in the U.S.
In a nutshell, it answer four questions, including the demand trend, demand source, degree and skill requirement based on the online job posting data.
Centralizing Data to Address Imperatives in Clinical DevelopmentSaama
Karim Damji presents at SCDM 2017 Annual Conference in Orlando, Florida in the Unstructured and Structured Big Data Convergence for Bridging Clinical, Regulatory, and Commercialization session.
Abstract:
Are you fully leveraging the data you generate from trials, regulatory submissions and post-approval marketing to maximize business outcomes? With the deluge of structured, unstructured, and syndicated data, the use of varied data for targeted outcomes remains difficult, despite increased industry efforts to address the issue. New technologies are federating the ability to leverage analytic-ready data for innovations in clinical development and drug commercialization. With the application of clinical data-as-a-service and meta-data core, centralized clinical data lakes have the power to improve data quality, evidence generation, and time-to-insights.
Certus Accelerate - Building the business case for why you need to invest in ...Certus Solutions
Becoming an analytically driven or cognitive business is a journey.
Businesses will be able to rapidly capitalize on new opportunities if they have invested in the foundations of their information management systems.
Sensors For The Lab & For Manufacturing: Early Adventures in IoTNick Brown
Marc Harrigan (senior business analyst) from my team presented at IoT World Dublin on November 21st 2016. He talks about our approach to understanding how IoT and sensors are changing our business, how it fits with our work in the Tech Labs for validating and prototyping emerging technologies. He also shares how it is an key enabler for future areas in machine learning and predictive analytics for pharmaceutical research, development and manufacturing.
Operational Intelligence: Real-Time Business Analytics for Big Data
Most business intelligence (BI) implementations are focussed on analysing what has happened, sometimes why things have happened. Often Business Intelligence provides no more than Business Insights. . Even so called “real-time” BI reports are generated using historical data. While this historical view of data has some value, it does not represent the complete picture. Fully-informed business decisions require real-time insight into high-volume streaming data sources, current events, and ongoing business processes.
Operational intelligence (OI) correlates the real-time analysis of big data in motion with historical data, delivering complete business insight in milliseconds. By continuously analyzing big data in motion, events, and business processes as they are happening, OI enables fully informed decisions that maximize business impact.
In this presentation, you will learn:
• What operational intelligence is and does, plus what technologies enable it
• Business and technology requirements that are driving user organizations toward true real-time analytics and reporting with big data
• Real-time applications for operational intelligence
Embracing Cloud Deployment for Big Data and Dev OpsNick Brown
Presentation by Steve Woodward, cloud solution engineer in my team at Cloud & DevOps World in London on June 22nd 2016. Overview about how we architect our cloud solutions using emerging technologies with elastic scaling, docker containers and novel services that our customers can use quickly - from sensors & streaming lab data, to predictive modelling and artificial intelligence.
This presentation shows how Predictive Analytics can be more futuristic than BI in using past events to predict the future.
Furthermore, we explore the best practices in Predictive Analytics, the challenges in deployment and how this solution can be used to create business value for the organization.
Presented by Ajay Gopikrishnan, our expert in Predictive Analytics and Data Mining at the BA4ALL (Business Analytics Insight 2014) event in the Netherlands.
http://www.capgemini.com/big-data-analytics
Choosing the Right Document Processing Solution for Healthcare OrganizationsProvectus
Looking to automate document processing in your healthcare organization? Learn from Provectus & AWS experts how to make data capture, conversion, and analytics more efficient. Process and manage documents faster and on a larger scale with AI & Machine Learning.
In this presentation, we offer management and engineering perspectives on document processing with AI, to help you explore available options. Whether you are looking for a ready-made solution or plan to build a custom solution of your own, this webinar will help you find the best fit for your healthcare use cases.
From Data Lakes to the Data Fabric: Our Vision for Digital StrategyCambridge Semantics
In this presentation for Strata NY 2018, we share our vision for digital innovation as a shift to something powerful, expedient and future-proof. This is accomplished through the use of a 'Data Fabric'. Utilizing graph technology, this Data Fabric connects enterprise data in an overlay fashion that does not disrupt current investments for unprecedented access to data. This interconnected and reliable data can then be used to automate scalable AI and ML efforts to improve business outcomes.
Destroy Data Siloes at Digital Innovations to Advance Clinical TrialsSaama
Digital Innovations, or Dpharm, organized by The Conference Forum was held in Boston in September 2018. Amit Gulwadi, Senior Vice President, Clinical Innovations, Saama Technologies, will be speaking on the topic Destroy Clinical Data Silos. Data Silos are a major roadblock in the clinical trial development process. Disparate data sources and multiple teams working on them increase complexities and delays. One solution to this can be building a comprehensive platform that will streamline clinical data to derive valuable insights.
Integratus solutions overview sap healthcare_in-memoryRon Lehman
Healthcare providers need a new approach to agile analytics. Old Data Warehouse technologies & approaches cant keep up with regulatory requirements. We deliver a best of both worlds, leveraging best practices for organizational roles & processes, together with best in available technology & pre-built content such as SAP HANA & Epic Cogito Data Warehouse.
An introduction to analytics is a small presentation made for increasing awareness on analytics with some case studies of applying analytics in different functions.
These case studies are from informs.org which were openly available when the presentation was made. Due to confidentiality related obligations my personal experiences were shared - without naming clients - during the presentation. However, the case studies cannot be share on the PPT here. For more details or inputs on analytics you can reach me at twitter - @krdpravin or LinkedIn - https://in.linkedin.com/in/krdpravin
Accelerate Digital Transformation with an Enterprise Big Data FabricCambridge Semantics
In this webinar by Cambridge Semantics' VP of Solution Engineering, Ben Szekely, you will learn more about how the Enterprise Data Fabric prevails as the bedrock of enterprise digital strategy. Connected and highly available data is the new normal - powering analytics and AI. The data lake itself is commoditized, like raw compute or disk, and becomes an unseen part of the stack. Semantic graph technology is central to Data Fabric initiatives that meaningfully contribute to digital transformation.
We share our vision for digital innovation - a shift to something powerful, expedient and future-proof. The Data Fabric connects enterprise data for unprecedented access in an overlay fashion that does not disrupt current investments. Interconnected and reliable data drives business outcomes by automating scalable AI and ML efforts. Graph technology is the way forward to realize this future.
What is "Next Generation" Analytics? How does it fit with my Business Vision?Sparkhound Inc.
At a recent Arkansas Lunch & Learn, Sparky Business Analyst Rusty Frioux discusses Sparkhound's end-to-end Business Intelligence & Analytics approach that drives business impact through technologies like SharePoint and Power BI. Learn what Business Intelligence & Analytics is and how to build the right strategy and tools for your business.
What is Big Data at SAP?
Overview: Big Data refers to the challenges of capturing, managing, and analyzing large volumes of various types of data with great velocity. Big Data presents a big opportunity for you to gain greater business value. From
major league sports and personalized shopping to carbon reduction and cancer treatment, organizations are leveraging Big Data to re-imagine what is possible.
Grab the Big Data opportunity with:
• SAP HANA platform – accelerate your ability to
acquire, analyze, and act on Big Data
• Analytic tools and applications – drive Big Data
insights directly into your business operations and
equip people to make data-driven decisions
• Data science services – uncover new signals to
discover new business opportunities
With an end-to-end offering from SAP, you can make
your Big Data project run in real-time, delivering real
results.
Understand the Demand of Analyst Opportunity in U.SJiaming Zhang
The slides summarize an analysis on the demand pattern of analyst opportunity (like data analyst, data science) in the U.S.
In a nutshell, it answer four questions, including the demand trend, demand source, degree and skill requirement based on the online job posting data.
Centralizing Data to Address Imperatives in Clinical DevelopmentSaama
Karim Damji presents at SCDM 2017 Annual Conference in Orlando, Florida in the Unstructured and Structured Big Data Convergence for Bridging Clinical, Regulatory, and Commercialization session.
Abstract:
Are you fully leveraging the data you generate from trials, regulatory submissions and post-approval marketing to maximize business outcomes? With the deluge of structured, unstructured, and syndicated data, the use of varied data for targeted outcomes remains difficult, despite increased industry efforts to address the issue. New technologies are federating the ability to leverage analytic-ready data for innovations in clinical development and drug commercialization. With the application of clinical data-as-a-service and meta-data core, centralized clinical data lakes have the power to improve data quality, evidence generation, and time-to-insights.
Certus Accelerate - Building the business case for why you need to invest in ...Certus Solutions
Becoming an analytically driven or cognitive business is a journey.
Businesses will be able to rapidly capitalize on new opportunities if they have invested in the foundations of their information management systems.
During this presentation, we will discuss how SAS can provide an open analytical platform to do artificial intelligence.
We’ll start clarifying what AI and Open mean in the context of driving business value, and we will then illustrate how SAS can support this value creation through the components of the Platform and of the Viya engine. Finally, these different elements will be demonstrated through real life examples and demos.
Gain New Insights by Analyzing Machine Logs using Machine Data Analytics and BigInsights.
Half of Fortune 500 companies experience more than 80 hours of system down time annually. Spread evenly over a year, that amounts to approximately 13 minutes every day. As a consumer, the thought of online bank operations being inaccessible so frequently is disturbing. As a business owner, when systems go down, all processes come to a stop. Work in progress is destroyed and failure to meet SLA’s and contractual obligations can result in expensive fees, adverse publicity, and loss of current and potential future customers. Ultimately the inability to provide a reliable and stable system results in loss of $$$’s. While the failure of these systems is inevitable, the ability to timely predict failures and intercept them before they occur is now a requirement.
A possible solution to the problem can be found is in the huge volumes of diagnostic big data generated at hardware, firmware, middleware, application, storage and management layers indicating failures or errors. Machine analysis and understanding of this data is becoming an important part of debugging, performance analysis, root cause analysis and business analysis. In addition to preventing outages, machine data analysis can also provide insights for fraud detection, customer retention and other important use cases.
Deep Learning Image Processing Applications in the EnterpriseGanesan Narayanasamy
The presentation has many use cases covering the following Image classification: "The process of identifying and detecting an object or a feature in a digital image or video," the report states. In retail, deep learning models "quickly scan and analyze in-store imagery to intuitively determine inventory movement."
Voice recognition: "The ability to receive and interpret dictation or to understand and carry out spoken commands. Models are able to convert captured voice commands to text and then use natural language processing to understand what is being said and in what context." In transportation, deep learning "uses voice commands to enable drivers to make phone calls and adjust internal controls - all without taking their hands off the steering wheel."
Anomaly detection: "Deep learning technique strives to recognize abnormal patterns which don't match the behaviors expected for a particular system, out of millions of different transactions. These applications can lead to the discovery of an attack on financial networks, fraud detection in insurance filings or credit card purchases, even isolating sensor data in industrial facilities signifying a safety issue."
Recommendation engines: "Analyze user actions in order to provide recommendations based on user behavior."
Sentiment analysis: "Leverages deep learning-heavy techniques such as natural language processing, text analysis, and computational linguistics to gain clear insight into customer opinion, understanding of consumer sentiment, and measuring the impact of marketing strategies."
Video analysis: "Process and evaluate vast streams of video footage for a range of tasks including threat detection, which can be used in airport security, banks, and sporting events."
Nurturing Digital Twins: How to Build Virtual Instances of Physical Assets to...Cognizant
To embark on the digital twin jounrey, assess your readiness, define and communicate a vision, set common data management rules and build in flexibility for intelligence.
Machine Learning: Addressing the Disillusionment to Bring Actual Business Ben...Jon Mead
'Machine learning’ is one of those cringy phrases, almost (if not already) taboo in the world of high-tech SaaS. Applying true machine learning to an organization’s product(s), however, can have real benefit for the business, its clients, and the industry as a whole. From credit card fraud investigations to the way that a car is built, machine learning has permeated our everyday life without a common understanding of what it is and how to implement it.
Why Everything You Know About bigdata Is A LieSunil Ranka
As a big data technologist, you can bet that you have heard it all: every crazy claim, myth, and outright lie about what big data is and what it isn't that you can imagine, and probably a few that you can't.If your company has a big data initiative or is considering one, you should be aware of these false statements and the reasons why they are wrong.
Internet of Things (IOT) and Machine learning are new technology trends that are booming individually: we will look at how to combine these concepts and technologies by layering machine learning on top of IOT data and driving significant insights for clients via specific use cases like predictive maintenance. Let’s look at some state of the art use cases and subsequent benefits delivered in this space to dig deeper into the “art of the possible”.
Business Intelligence, Data Analytics, and AIJohnny Jepp
Data is the new currency. In this session, best practices on data collection, management dashboards, and used cases will be shared using Azure Data Services.
Video accessible at bit.ly/APACSummitOnDemand
Shwetank Sheel
Chief Executive Officer
Just Analytics
Poonam Sampat
Cloud Solution Architect - Data & AI
Microsoft Asia Pacific
„Mehr als nur Reporting machen“ ist die Maßgabe, mit der viele BI-Verantwortliche in das Jahr 2016 starten. Gerade in fortgeschrittenen Datenanalysen und Vorhersagen liegt großes Potential, aus den bisherigen Investitionen in BI-Systeme und Datenbestände mehr Nutzen zu ziehen. Wie der aktuelle Stand aussieht, hat jetzt die Studie „Advanced & Predictive Analytics - Schlüssel zur zukünftigen Wettbewerbsfähigkeit“ des Business Application Research Center (BARC) ausführlich untersucht.
Perspektiven und Trends: + Wo prägt Big Data den digitalen Wandel? + Welche Technologien helfen?
Big Data Lab: + Wie gelingt der Schnellstart in die neue Informationsökonomie?
Praxiserfahrungen: + Welche Erfahrungen machen andere? + Wo steht Ihre Branche?
Die Fähigkeit in Echtzeit mit Kunden zu interagieren, ist eine wichtige Voraussetzung, um auf die vielfältigen Bedürfnisse bzw. Bedarfssituationen von Kunden in der Multichannel-Gegenwart zu reagieren.
Durch kontextbasiertes Marketing sind Sie als Anbieter in der Lage, Ihren Kunden im Echtzeitdialog relevante, bedarfsgerechte Angebote unterbreiten – so fällt jedes Kundenerlebnis positiv ins Gewicht.
Die digitale Transformation eröffnet viele Chancen und wirft zugleich Fragen der Datensicherheit auf:
• Wie sensibel ist die Bevölkerung bei der Herausgabe von persönlichen Daten?
• Welche Informationen geben die Konsumenten am ehesten im Internet preis?
• Hätte eine monetäre Vergütung Einfluss auf ihre Bereitschaft, private Daten herauszugeben?
• Welchen Organisationen trauen die Menschen einen sorgsamen Umgang mit Daten zu?
Antworten auf diese Fragen liefert eine aktuelle Forsa-Umfrage im Auftrag von SAS Deutschland.
Weiterführende Informationen und Realitäts-Check zur Umsetzung der Industrie 4.0 Idee in Deutschland sind der folgenden Forsa-Studie hinterlegt: http://www.sas.com/offices/europe/germany/email/39566.html
Neue Herausforderungen im Marketing - und was sie für Ihr datenbasiertes Marketing bedeuten.
Den Einkaufsprozess der Kunden wirklich verstehen, Begeisterung wecken durch wertvolle Ansprache, den Kunden ganzheitlich verstehen ... das sind nur einige Möglichkeiten von SAS High Perfomance Analytics im Marketing.
Die Ergebnisse der aktuellen Forsa-Umfrage beleuchten welches Potenzial das Internet im Allgemeinen und soziale Netzwerke im Speziellen für die öffentliche Verwaltung bergen.
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
Introducing Crescat - Event Management Software for Venues, Festivals and Eve...Crescat
Crescat is industry-trusted event management software, built by event professionals for event professionals. Founded in 2017, we have three key products tailored for the live event industry.
Crescat Event for concert promoters and event agencies. Crescat Venue for music venues, conference centers, wedding venues, concert halls and more. And Crescat Festival for festivals, conferences and complex events.
With a wide range of popular features such as event scheduling, shift management, volunteer and crew coordination, artist booking and much more, Crescat is designed for customisation and ease-of-use.
Over 125,000 events have been planned in Crescat and with hundreds of customers of all shapes and sizes, from boutique event agencies through to international concert promoters, Crescat is rigged for success. What's more, we highly value feedback from our users and we are constantly improving our software with updates, new features and improvements.
If you plan events, run a venue or produce festivals and you're looking for ways to make your life easier, then we have a solution for you. Try our software for free or schedule a no-obligation demo with one of our product specialists today at crescat.io
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
AI Genie Review: World’s First Open AI WordPress Website CreatorGoogle
AI Genie Review: World’s First Open AI WordPress Website Creator
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https://sumonreview.com/ai-genie-review
AI Genie Review: Key Features
✅Creates Limitless Real-Time Unique Content, auto-publishing Posts, Pages & Images directly from Chat GPT & Open AI on WordPress in any Niche
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✅50 DFY Websites Included Without Adding Any Images, Content Or Doing Anything Yourself
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✅Just Enter the title, and your Content for Pages and Posts will be ready on your website
✅Automatically insert visually appealing images into posts based on keywords and titles.
✅Choose the temperature of the content and control its randomness.
✅Control the length of the content to be generated.
✅Never Worry About Paying Huge Money Monthly To Top Content Creation Platforms
✅100% Easy-to-Use, Newbie-Friendly Technology
✅30-Days Money-Back Guarantee
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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Utilocate offers a comprehensive solution for locate ticket management by automating and streamlining the entire process. By integrating with Geospatial Information Systems (GIS), it provides accurate mapping and visualization of utility locations, enhancing decision-making and reducing the risk of errors. The system's advanced data analytics tools help identify trends, predict potential issues, and optimize resource allocation, making the locate ticket management process smarter and more efficient. Additionally, automated ticket management ensures consistency and reduces human error, while real-time notifications keep all relevant personnel informed and ready to respond promptly.
The system's ability to streamline workflows and automate ticket routing significantly reduces the time taken to process each ticket, making the process faster and more efficient. Mobile access allows field technicians to update ticket information on the go, ensuring that the latest information is always available and accelerating the locate process. Overall, Utilocate not only enhances the efficiency and accuracy of locate ticket management but also improves safety by minimizing the risk of utility damage through precise and timely locates.
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
Looking for a reliable mobile app development company in Noida? Look no further than Drona Infotech. We specialize in creating customized apps for your business needs.
Visit Us For : https://www.dronainfotech.com/mobile-application-development/
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Launch Your Streaming Platforms in MinutesRoshan Dwivedi
The claim of launching a streaming platform in minutes might be a bit of an exaggeration, but there are services that can significantly streamline the process. Here's a breakdown:
Pros of Speedy Streaming Platform Launch Services:
No coding required: These services often use drag-and-drop interfaces or pre-built templates, eliminating the need for programming knowledge.
Faster setup: Compared to building from scratch, these platforms can get you up and running much quicker.
All-in-one solutions: Many services offer features like content management systems (CMS), video players, and monetization tools, reducing the need for multiple integrations.
Things to Consider:
Limited customization: These platforms may offer less flexibility in design and functionality compared to custom-built solutions.
Scalability: As your audience grows, you might need to upgrade to a more robust platform or encounter limitations with the "quick launch" option.
Features: Carefully evaluate which features are included and if they meet your specific needs (e.g., live streaming, subscription options).
Examples of Services for Launching Streaming Platforms:
Muvi [muvi com]
Uscreen [usencreen tv]
Alternatives to Consider:
Existing Streaming platforms: Platforms like YouTube or Twitch might be suitable for basic streaming needs, though monetization options might be limited.
Custom Development: While more time-consuming, custom development offers the most control and flexibility for your platform.
Overall, launching a streaming platform in minutes might not be entirely realistic, but these services can significantly speed up the process compared to building from scratch. Carefully consider your needs and budget when choosing the best option for you.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Do you want Software for your Business? Visit Deuglo
Deuglo has top Software Developers in India. They are experts in software development and help design and create custom Software solutions.
Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
Requirement — Collecting the Requirements is the first Phase in the SSLC process.
Feasibility Study — after completing the requirement process they move to the design phase.
Design — in this phase, they start designing the software.
Coding — when designing is completed, the developers start coding for the software.
Testing — in this phase when the coding of the software is done the testing team will start testing.
Installation — after completion of testing, the application opens to the live server and launches!
Maintenance — after completing the software development, customers start using the software.
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.