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.
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.
Presentation by Mike Jones (Lab Automation Assoc. Director) seconded into my team at the SmartLab Exchange Europe conference in Berlin on 8th February (https://smartlabexchangeeurope.iqpc.co.uk/). Brief overview about the future of scientific labs and how digital transformations are changing our approach to data capture, advanced analytics and collaboration across different scientific teams. Examples include exploratory work in augmented reality, next generation interaction, smart touch interfaces and sensor technologies.
Beyond Mobile - Creative Tech Innovation at AstraZenecaNick Brown
Presentation by Adrian Wong, creative director in my team at Enterprise Mobility Exchange in London on September 20th 2016. Brief overview about mobility at AstraZeneca but how we are embracing digital health, APIs, user experience as well as going beyond mobile and catalysing technology innovation in our company. These creative technologies include AR, VR, interaction tools, chatbots, internet of things and open innovation.
Search At AstraZeneca. An Agile AppStore (search-based apps) Created On A Ric...Nick Brown
Presentation by Rob Hernandez, data science lead in my team at Data Summit 2015 in New York on Tuesday May 12 2015. Overview about how creating a single repository with over 150 million unstructured documents, can drive multiple business intelligence applications.
Tech Incubation. Delivering an enterprise platform on AWSNick Brown
Presentation by Eddie Wu, software developer in my team at AWS Summit 2015 in Hull on August 27th 2015. Overview about how we developed an enterprise search capability that was deployed for 60k users with elastic scaling using Amazon Web Services and Docker.
Extending Enterprise Search To Catalyse Innovation In A Global OrganisationNick Brown
Presentation by Steve Woodward in my team at Enterprise Search Summit 2015 in London on 20th October. Examples of how we have leveraged a cloud-based enterprise search platform to help drive our mobile and user experience competencies across a global organisation. Examples include an enterprise mobile app for simplifying approvals, search-based microapplications and in-video transcription.
Insight into AstraZeneca's Technology Services.Nick Brown
Presentation given at the Big Data in Pharma Europe conference, London February 19th 2014 (http://bigdatapharma-europe.com/). Updated for Enterprise Search Europe Summit April 29th (http://www.enterprisesearcheurope.com/2014/Tuesday.aspx).
Overview about the innovation approach taken within Technology Services at AstraZeneca, showcasing the approach, 6 examples of pilots and proof-of-concepts, and with a case study of how to implement a revolution in search analytics, using R&D as a springboard for enterprise.
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.
Presentation by Mike Jones (Lab Automation Assoc. Director) seconded into my team at the SmartLab Exchange Europe conference in Berlin on 8th February (https://smartlabexchangeeurope.iqpc.co.uk/). Brief overview about the future of scientific labs and how digital transformations are changing our approach to data capture, advanced analytics and collaboration across different scientific teams. Examples include exploratory work in augmented reality, next generation interaction, smart touch interfaces and sensor technologies.
Beyond Mobile - Creative Tech Innovation at AstraZenecaNick Brown
Presentation by Adrian Wong, creative director in my team at Enterprise Mobility Exchange in London on September 20th 2016. Brief overview about mobility at AstraZeneca but how we are embracing digital health, APIs, user experience as well as going beyond mobile and catalysing technology innovation in our company. These creative technologies include AR, VR, interaction tools, chatbots, internet of things and open innovation.
Search At AstraZeneca. An Agile AppStore (search-based apps) Created On A Ric...Nick Brown
Presentation by Rob Hernandez, data science lead in my team at Data Summit 2015 in New York on Tuesday May 12 2015. Overview about how creating a single repository with over 150 million unstructured documents, can drive multiple business intelligence applications.
Tech Incubation. Delivering an enterprise platform on AWSNick Brown
Presentation by Eddie Wu, software developer in my team at AWS Summit 2015 in Hull on August 27th 2015. Overview about how we developed an enterprise search capability that was deployed for 60k users with elastic scaling using Amazon Web Services and Docker.
Extending Enterprise Search To Catalyse Innovation In A Global OrganisationNick Brown
Presentation by Steve Woodward in my team at Enterprise Search Summit 2015 in London on 20th October. Examples of how we have leveraged a cloud-based enterprise search platform to help drive our mobile and user experience competencies across a global organisation. Examples include an enterprise mobile app for simplifying approvals, search-based microapplications and in-video transcription.
Insight into AstraZeneca's Technology Services.Nick Brown
Presentation given at the Big Data in Pharma Europe conference, London February 19th 2014 (http://bigdatapharma-europe.com/). Updated for Enterprise Search Europe Summit April 29th (http://www.enterprisesearcheurope.com/2014/Tuesday.aspx).
Overview about the innovation approach taken within Technology Services at AstraZeneca, showcasing the approach, 6 examples of pilots and proof-of-concepts, and with a case study of how to implement a revolution in search analytics, using R&D as a springboard for enterprise.
Catalysing Innovation in Pharma IT: Keeping AstraZeneca Ahead of Disruptive T...Nick Brown
Presentation by Rob Hernandez (senior data scientist) in my team at 14th Annual Pharmaceutical IT Congress in London on September 28th 2016 . Brief overview about how our world and more specifically the pharmaceutical industry is being disrupted by technology. We share some emerging technology areas that we are focusing on, demonstrating value to our R&D, Operations and Commercial teams but also how we catalyse innovation across our IT organisation. Examples include exploratory work on AI chatbots, video facial sentiment detection, scientific search and sensor technology.
Genome Simulation & Applications: Use of Managed Distributed Compute Infrastr...Nick Brown
Presentation by Hari Radhakrishnan (Solution Engineer) in my team at the Cloud & DevOps stream at techXLR8 in London on 14th June 2017 (https://tmt.knect365.com/cloud-devops-world/ ). This provided a pretty detailed overview about how we combined the use of Google Cloud with Kubernetes, Docker and other cloud functions to create a managed distributed compute infrastructure to generate synthetic genomics data for simulation and testing needs. As part of the Technology Incubation Labs, this highlights the sort of technical project that we drive to demonstrate what emerging technologies can offer to our internal business stakeholders.
Artificial Intelligence, Predictive Modelling and Chatbots: Applications in P...Nick Brown
Presentation by Hari Radhakrishnan (senior solution developer) and Josh Mesout (graduate developer), in my team at Deep Learning Summit in London on September 23rd 2016. Brief overview about how we have been exploring artificial intelligence and how predictive modelling has the potential to revolutionise what we do across the drug discovery and development process. Examples include recent exploratory work on AI chatbots and video facial sentiment detection.
AI today and its power to transform healthcareBonnie Cheuk
[Dr Bonnie Cheuk's Presentation at Digital Leadership Forum, 1 Apr 2021] AI sounds so magical. What exactly is AI? How humans learn and how data-driven AI Machines learn differ greatly. We need to set the right expectation as to what AI can do and create value. In this 20-min presentation, Bonnie shared a few (surprising) examples how AI has been applied in the business. You will learn that AI requires us to understand the future of work requires humans and machines to collaborate as diverse team members. Humans need to build learning agility to ensure we trust and learn to challenge AI solutions at the same time. Learning agility is defined as 5 work habits to empower humans to continuously learn and unlearn as we carry out our day-to-day work and life. AI requires us to focus on human experience, and be human centric. Learn more about my thinking on https://sense-making.org/bonniecheuk/ or https://sense-making.org/videos-audio-lectures/
To Be Digital, Pharma Labs Must Bridge the Gap Between Legacy Systems & Conne...Cognizant
As they navigate IoT adoption, scientific labs must find a way to integrate existing equipment and resources with emerging technologies, and shift to data-driven experimentation and decision-making.
Data-Driven is Passé: Transform Into An Insights-Driven EnterpriseDenodo
Watch the full webinar: http://goo.gl/c5rlCM
Speakers: Holger Kisker, Ph.D., Vice President and Research Director at Forrester Research Inc.
Listen to Holger Kisker, Vice President and Research Director at Forrester Research Inc., describe the three step plan for organizations to become insights-driven rather than data-driven enterprises. Adopting systems of insight and embedding them into your organization’s systems of engagement, record, and automation allows you to turn data into action. As a final step, data virtualization can help keep all systems in synch, being a key enabler for systems of insight.
4° Sessione - Telemetria e internet delle cose nell'ambito della ricercaJürgen Ambrosi
In questa sessione vedremo una dimostrazione pratica delle tecnologie abilitanti dell'Internet of Things e analizzeremo insieme casi applicati nel mondo moderno, dal mondo della ricerca a quello dell'industria
1° Sessione Oracle CRUI: Analytics Data Lab, the power of Big Data Investiga...Jürgen Ambrosi
I dati sono il nuovo Capitale: come il capitale finanziario, sono una risorsa che deve essere gestita, raccolta e tenuta al sicuro, ma deve essere anche investita dalle organizzazioni che vogliono ottenere vantaggio competitivo. I dati non sono una risorsa nuova, ma soltanto oggi per la prima volta sono disponbili in abbondanza assieme alle tecnologie necessarie per massimizzarne il ritorno. Esattamente come l'elettricità fu una curiosità da laboratorio per molto tempo, finché non venne resa disponibile alle masse e dunque cambiò totalmente il volto dell'industria moderna.Ecco perché per accelerare il cambiamento è necessario un approccio innovativo alla esecuzione delle iniziative orientate ai Big Data: un laboratorio analitico come catalizzatore dell'innovazione (Data Lab).In questo webinar sulle tecnologie Oracle, utilizzeremo il consueto approccio del racconto basato su casi d’uso ed esperienze concrete.
These are the slides from the Gramener webinar conducted on 16-Jan-2020.
- What skills & roles will help you deliver your analytics and data visualization projects?
- What skills do most teams miss to hire for?
In a Gartner survey, CIOs reported 'team skills' as their biggest barrier ⚠️ to data science. They have trouble deciding the skill mix ⚗️needed or in finding the right people for the job.
This webinar will show the skills and roles you must plan for. You will learn how to tailor this based on your organization's data maturity. It will help you decide whether to upskill teams or hire externally. The session will show you how and where to find talent.
Throughout the webinar you will learn:
- Critical skills & roles needed in your data science team?
- Tips for data science hiring. What aspirants should know about the jobs?
- Insights presented using real-world examples
AI-SDV 2021: Linus Wretblad - Best practice on new intelligent tools in IP ma...Dr. Haxel Consult
New tools are indeed present promising opportunities. However, the use of AI also raises new concerns regarding the transparency of the expected usability and reliability. This presentation will elaborate around some the associated questions; the impact of the training data, the black box symptoms, verification of performance and privacy considerations when using AI. But of course also some insights to best practice of AI search tool and how to take control of the process for better efficiency.
PreScouter + GE Healthcare: How will the Internet of Things Impact your Indus...PreScouter
PreScouter and GE Healthcare partnered to analyze how they are researching Internet of Things technology. The presentation begins with a note from Dr. Ashish Basuray, Chief Scientist at PreScouter, Inc., an innovation consulting firm. Basuray addresses a fundamental question: why do we care to learn about new ideas, disruptive ideas like the Internet of Things? Following Basuray's introduction, Bill Shingleton, Ph.D., Technical Lead at GE Healthcare presented on the Industrial Internet of Things and how it impacts several industries. But, then he narrowed in on healthcare and GE's solution, Predix. This is the slide deck of the presentation for PreScouter's IoT Summit on October 6, 2016, from 5 -8 pm at the Schreiber Center in downtown Chicago.
For more information on disruptive technology, please visit: www.prescouter.com.
Gene Villeneuve - Moving from descriptive to cognitive analyticsIBM Sverige
As the scope of big data rapidly expands, so does the scope of the analytics that are necessary to extract insight from that data. It is simply impossible for humans or indeed rules-based engines to take that information to action. More and more, clients need analytics to make the best decisions possible; or better yet, embed those analytics into processes to automate the decision-making process, which they simply the answers based on the questions being asked at the point of impact. In order to address these rapidly evolving needs, we need to ensure the right analytics capability are deployed to suit each situation, each point of interaction and each decision point within a process. Join this session, and learn how IBM can provide a solution for the varying types of analytics: from descriptive to predictive to prescriptive to cognitive.
World of Watson 2016 - Implementing data scienceKeith Redman
Wikipedia defines Data Science as an interdisciplinary field about processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured, which is a continuation of some of the data analysis fields such as statistics, machine learning, data mining, and predictive analytics… It then goes on to say Data Science is not to be confused with Information Science which is not to be confused with Library Science which is not to be confused with….. I think you get the point.
Are you confused about the benefits of Data Science, or have you embraced Data Science and are now struggling to enable your Scientists? Check out the sessions on Data Science and especially take a look at the new Data Science Experience.
How Big Data can drive innovative technologies and new approaches in large or...Nick Brown
Presentation by Nick Brown at Big Data in Paris on 8th March 2016. Overview about how we have developed a big data engine around search and unstructured content (with Sinequa) and how this has lead to innovating with mobility, user experience and digital health initiatives. Also provides access to our PitchIT open innovation site.
Catalysing Innovation in Pharma IT: Keeping AstraZeneca Ahead of Disruptive T...Nick Brown
Presentation by Rob Hernandez (senior data scientist) in my team at 14th Annual Pharmaceutical IT Congress in London on September 28th 2016 . Brief overview about how our world and more specifically the pharmaceutical industry is being disrupted by technology. We share some emerging technology areas that we are focusing on, demonstrating value to our R&D, Operations and Commercial teams but also how we catalyse innovation across our IT organisation. Examples include exploratory work on AI chatbots, video facial sentiment detection, scientific search and sensor technology.
Genome Simulation & Applications: Use of Managed Distributed Compute Infrastr...Nick Brown
Presentation by Hari Radhakrishnan (Solution Engineer) in my team at the Cloud & DevOps stream at techXLR8 in London on 14th June 2017 (https://tmt.knect365.com/cloud-devops-world/ ). This provided a pretty detailed overview about how we combined the use of Google Cloud with Kubernetes, Docker and other cloud functions to create a managed distributed compute infrastructure to generate synthetic genomics data for simulation and testing needs. As part of the Technology Incubation Labs, this highlights the sort of technical project that we drive to demonstrate what emerging technologies can offer to our internal business stakeholders.
Artificial Intelligence, Predictive Modelling and Chatbots: Applications in P...Nick Brown
Presentation by Hari Radhakrishnan (senior solution developer) and Josh Mesout (graduate developer), in my team at Deep Learning Summit in London on September 23rd 2016. Brief overview about how we have been exploring artificial intelligence and how predictive modelling has the potential to revolutionise what we do across the drug discovery and development process. Examples include recent exploratory work on AI chatbots and video facial sentiment detection.
AI today and its power to transform healthcareBonnie Cheuk
[Dr Bonnie Cheuk's Presentation at Digital Leadership Forum, 1 Apr 2021] AI sounds so magical. What exactly is AI? How humans learn and how data-driven AI Machines learn differ greatly. We need to set the right expectation as to what AI can do and create value. In this 20-min presentation, Bonnie shared a few (surprising) examples how AI has been applied in the business. You will learn that AI requires us to understand the future of work requires humans and machines to collaborate as diverse team members. Humans need to build learning agility to ensure we trust and learn to challenge AI solutions at the same time. Learning agility is defined as 5 work habits to empower humans to continuously learn and unlearn as we carry out our day-to-day work and life. AI requires us to focus on human experience, and be human centric. Learn more about my thinking on https://sense-making.org/bonniecheuk/ or https://sense-making.org/videos-audio-lectures/
To Be Digital, Pharma Labs Must Bridge the Gap Between Legacy Systems & Conne...Cognizant
As they navigate IoT adoption, scientific labs must find a way to integrate existing equipment and resources with emerging technologies, and shift to data-driven experimentation and decision-making.
Data-Driven is Passé: Transform Into An Insights-Driven EnterpriseDenodo
Watch the full webinar: http://goo.gl/c5rlCM
Speakers: Holger Kisker, Ph.D., Vice President and Research Director at Forrester Research Inc.
Listen to Holger Kisker, Vice President and Research Director at Forrester Research Inc., describe the three step plan for organizations to become insights-driven rather than data-driven enterprises. Adopting systems of insight and embedding them into your organization’s systems of engagement, record, and automation allows you to turn data into action. As a final step, data virtualization can help keep all systems in synch, being a key enabler for systems of insight.
4° Sessione - Telemetria e internet delle cose nell'ambito della ricercaJürgen Ambrosi
In questa sessione vedremo una dimostrazione pratica delle tecnologie abilitanti dell'Internet of Things e analizzeremo insieme casi applicati nel mondo moderno, dal mondo della ricerca a quello dell'industria
1° Sessione Oracle CRUI: Analytics Data Lab, the power of Big Data Investiga...Jürgen Ambrosi
I dati sono il nuovo Capitale: come il capitale finanziario, sono una risorsa che deve essere gestita, raccolta e tenuta al sicuro, ma deve essere anche investita dalle organizzazioni che vogliono ottenere vantaggio competitivo. I dati non sono una risorsa nuova, ma soltanto oggi per la prima volta sono disponbili in abbondanza assieme alle tecnologie necessarie per massimizzarne il ritorno. Esattamente come l'elettricità fu una curiosità da laboratorio per molto tempo, finché non venne resa disponibile alle masse e dunque cambiò totalmente il volto dell'industria moderna.Ecco perché per accelerare il cambiamento è necessario un approccio innovativo alla esecuzione delle iniziative orientate ai Big Data: un laboratorio analitico come catalizzatore dell'innovazione (Data Lab).In questo webinar sulle tecnologie Oracle, utilizzeremo il consueto approccio del racconto basato su casi d’uso ed esperienze concrete.
These are the slides from the Gramener webinar conducted on 16-Jan-2020.
- What skills & roles will help you deliver your analytics and data visualization projects?
- What skills do most teams miss to hire for?
In a Gartner survey, CIOs reported 'team skills' as their biggest barrier ⚠️ to data science. They have trouble deciding the skill mix ⚗️needed or in finding the right people for the job.
This webinar will show the skills and roles you must plan for. You will learn how to tailor this based on your organization's data maturity. It will help you decide whether to upskill teams or hire externally. The session will show you how and where to find talent.
Throughout the webinar you will learn:
- Critical skills & roles needed in your data science team?
- Tips for data science hiring. What aspirants should know about the jobs?
- Insights presented using real-world examples
AI-SDV 2021: Linus Wretblad - Best practice on new intelligent tools in IP ma...Dr. Haxel Consult
New tools are indeed present promising opportunities. However, the use of AI also raises new concerns regarding the transparency of the expected usability and reliability. This presentation will elaborate around some the associated questions; the impact of the training data, the black box symptoms, verification of performance and privacy considerations when using AI. But of course also some insights to best practice of AI search tool and how to take control of the process for better efficiency.
PreScouter + GE Healthcare: How will the Internet of Things Impact your Indus...PreScouter
PreScouter and GE Healthcare partnered to analyze how they are researching Internet of Things technology. The presentation begins with a note from Dr. Ashish Basuray, Chief Scientist at PreScouter, Inc., an innovation consulting firm. Basuray addresses a fundamental question: why do we care to learn about new ideas, disruptive ideas like the Internet of Things? Following Basuray's introduction, Bill Shingleton, Ph.D., Technical Lead at GE Healthcare presented on the Industrial Internet of Things and how it impacts several industries. But, then he narrowed in on healthcare and GE's solution, Predix. This is the slide deck of the presentation for PreScouter's IoT Summit on October 6, 2016, from 5 -8 pm at the Schreiber Center in downtown Chicago.
For more information on disruptive technology, please visit: www.prescouter.com.
Gene Villeneuve - Moving from descriptive to cognitive analyticsIBM Sverige
As the scope of big data rapidly expands, so does the scope of the analytics that are necessary to extract insight from that data. It is simply impossible for humans or indeed rules-based engines to take that information to action. More and more, clients need analytics to make the best decisions possible; or better yet, embed those analytics into processes to automate the decision-making process, which they simply the answers based on the questions being asked at the point of impact. In order to address these rapidly evolving needs, we need to ensure the right analytics capability are deployed to suit each situation, each point of interaction and each decision point within a process. Join this session, and learn how IBM can provide a solution for the varying types of analytics: from descriptive to predictive to prescriptive to cognitive.
World of Watson 2016 - Implementing data scienceKeith Redman
Wikipedia defines Data Science as an interdisciplinary field about processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured, which is a continuation of some of the data analysis fields such as statistics, machine learning, data mining, and predictive analytics… It then goes on to say Data Science is not to be confused with Information Science which is not to be confused with Library Science which is not to be confused with….. I think you get the point.
Are you confused about the benefits of Data Science, or have you embraced Data Science and are now struggling to enable your Scientists? Check out the sessions on Data Science and especially take a look at the new Data Science Experience.
How Big Data can drive innovative technologies and new approaches in large or...Nick Brown
Presentation by Nick Brown at Big Data in Paris on 8th March 2016. Overview about how we have developed a big data engine around search and unstructured content (with Sinequa) and how this has lead to innovating with mobility, user experience and digital health initiatives. Also provides access to our PitchIT open innovation site.
We are a IT consulting company providing services to clients across geographies in Data Engineering, AI/ML, Cloud & DevOps, Platform Engineering, and Process Hyper automation.
Ομιλία- Παρουσίαση: Ανδρέας Τσαγκάρης, VP & Chief Technology Officer, Performance Technologies
Τίτλος Παρουσίασης: “Big Data on Linux on Power Systems”
Companies have access to all kinds of data (internal and external), and realize its importance. The challenge is how to gain the precise insights and intelligence you need in real-time. Learn more: https://accntu.re/2KzKpTp
At Brevitaz, we specialise in big data, analytics and full-text search solutions. We build scalable systems and analytics dashboards to make sense out of terra bytes of machine generated data from your servers, IOT devices and sensors. We leverage java based technology stack with our expertise in Hadoop ecosystem and ElasticSearch.
Arocom is a consulting and solution engineering company with expertise in providing engineering services for AI & Machine Learning, Data Operations & Analytics, MLOps and Cloud Computing.
Our clients include companies within biotech, drug discovery, therapeutics, manufacturing, retail and startups. Our consultants are best in their skills and offer hands-on talent to our clients in achieving their goals.
Welcome to ObjectSol Technologies Pvt. Ltd. your gateway to unparalleled IT solutions As the cream of the crop among IT companies, we're here to elevate your business to new heights. Discover a world of possibilities with our bespoke software solutions, tailor-made to suit your unique needs. From custom Android and iOS app development to cutting-edge big data analytics, AI/ML solutions, and eye-catching web design - we've got it all covered. Seamless user experiences, interactive dashboards that speak volumes, and top-notch OTT & IPTV development – all designed to catapult your business into the digital forefront. We're not just an IT company we're your partners in progress, committed to delivering creative and cost-effective solutions. It's not just our expertise but our commitment to measurable outcomes and exceptional customer service. Our team of highly skilled professionals is not just passionate; they're downright obsessed with innovation. We're not here just to meet expectations; we're here to exceed them.
Join us on this journey where humanity meets technology. Our mission is clear help you achieve your objectives with solutions that resonate. Experience the pinnacle of IT expertise and innovation with the best it company.
ObjectSol Technologies Pvt. Ltd. your gateway to unparalleled IT solutions As the cream of the crop among IT companies, we're here to elevate your business to new heights. Discover a world of possibilities with our bespoke software solutions, tailor-made to suit your unique needs. From custom Android and iOS app development to cutting-edge big data analytics, AI/ML solutions, and eye-catching web design - we've got it all covered. Seamless user experiences, interactive dashboards that speak volumes, and top-notch OTT & IPTV development – all designed to catapult your business into the digital forefront. We're not just an IT company we're your partners in progress, committed to delivering creative and cost-effective solutions. It's not just our expertise but our commitment to measurable outcomes and exceptional customer service. Our team of highly skilled professionals is not just passionate; they're downright obsessed with innovation. We're not here just to meet expectations; we're here to exceed them.
Join us on this journey where humanity meets technology. Our mission is clear help you achieve your objectives with solutions that resonate. Experience the pinnacle of IT expertise and innovation with the best it company.
Visit Us- https://objectsol.in/
Extelligence has been delivering IT Services for over 10 years, working with some of the largest corporations around the the world, including but not limited to DHL, Novartis, T Mobile, Czech Public sector. With Experience of delivering data and security management systems. Despite our 10 years we still consider ourselves a young and flexible organization.
Advanced Analytics and Machine Learning with Data Virtualization (India)Denodo
Watch full webinar here: https://bit.ly/3dMN503
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python, and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spend most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.
Watch this session to learn how companies can use data virtualization to:
- Create a logical architecture to make all enterprise data available for advanced analytics exercise
- Accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
- Integrate popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc
Advantix develops state-of-the-art and custom software & web based applications. We provide software development, Quality Assurance & Testing, and Support & Maintenance Services.
How Data Virtualization Puts Machine Learning into Production (APAC)Denodo
Watch full webinar here: https://bit.ly/3mJJ4w9
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spend most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.
Attend this session to learn how companies can use data virtualization to:
- Create a logical architecture to make all enterprise data available for advanced analytics exercise
- Accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
- Integrate popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc
Centre for Genomic Regulation Talk February 2024.pptxNick Brown
Presentation I recently gave at the Centre for Genomic Regulation in Barcelona - providing a glimpse into my career in AstraZeneca over 20 years with some advice for younger data scientists getting into the field.
Impact of Big Data & Artificial Intelligence in Drug Discovery & Development ...Nick Brown
Oral Presentation given at European Drug Discovery Innovation & Outsourcing Programme on 12th September 2023 in Barcelona. Overview around impact for AstraZeneca R&D from examples in the past 5+ years, including machine learning for safety assessment, augmenting digital pathology for image quantification & segmentation, and examples applying AI for right dose - identifying risk factors for CV patients and automated Population PK model prediction.
How AstraZeneca is Applying AI, Imaging & Data Analytics (AI-Driven Drug Deve...Nick Brown
Keynote AI Presentation given at AI-Driven Drug Development Summit Europe on 26th April 2023 in London. Overview around how AstraZeneca has been developing AI in the past 5+ years. Predominantly focused on R&D and how we are developing digital solutions & AI for right safety and right dose. AI examples include machine learning for safety assessment, augmenting digital pathology for image quantification & segmentation, understanding more about our drugs through advanced imaging modalities and first steps in applying AI for right dose - immunogenicity, adverse events and tolerability.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Essentials of Automations: Optimizing FME Workflows with Parameters
Embracing Cloud Deployment for Big Data and Dev Ops
1. Embracing Cloud Deployment for Big
Data and DevOps
Steven Woodward
Technology Incubation Lab, CTO, AstraZeneca 22nd June 2016
2. CTO Office
2
Our team was established to create new value by catalyzing innovative,
emerging technologies across AstraZeneca
Technology
Incubation Labs
Competency
Centers
Enterprise
Architecture
Multi-disciplinary teams that test
new technologies and accelerate
platforms to build internal
expertise and hands-on experience
of potential game-changing
technologies whilst focusing on
immediate business problems
Established User Experience and
Mobility competency centers as
key strategic areas for future
success. They will develop and be
embedded into enterprise
capabilities with world-class
technology leadership
Providing enterprise leadership to
understand the pain points of the
business and ensure that proposed
technology changes are unified and
governed to maximise business
value as AZIT develop corporate
platforms, workflows and choices
3. Global Reach
Today we have 3 tech labs.
Presence in these key technology
clusters gives an early view of
emerging technologies,
companies and start-ups.
San Francisco is today’s Innovation Capital of
the World and our tech lab will facilitate links
with innovative research start-ups, venture
capitalists and global technology leaders. This
office provides new opportunities at the
forefront of healthcare digital innovation and
major breakthroughs in enterprise technology.
Cambridge is the most dynamic scientific
business cluster in the world. We are
surrounded by 19 science parks with over
1,500 high-tech companies, world class
academic institutions at the bleeding
edge of scientific research and key
research hospitals like Addenbrookes.
Shanghai is emerging as the top city for
tech innovation internationally and is
predicted to become the global technology
centre within 4 years. Our tech lab is able
to tap into novel scientific research &
development, advanced engineering,
health nanotechnology and robotics.
5. 200m+ Unstructured Documents
5
We have silos of unstructured content, both inside the company and in the cloud.
We initially focused on developing a big-data engine for unstructured R&D content for scientists.
Admin
Access
Data Sources
Data
Mappings
Configure
Permissions
Tag
Content
Sinequa
Index
Applications
Web Service
6. Big Data Engine
6
We had developed a big data engine that powers multiple business
applications, not just enterprise search. This Swiss-army knife for
search let’s us tackle many problems
R&D News AlertsR&D ChemSearch
Find Partners
Mobile Apps Competitive Intel
Medical Affairs
8. Elastic Cloud Performance
8
Sinequa now handles ~2500 queries per min. Designed from the start to
leverage cloud elastic scaling capabilities for responsive performance for 10
users or 70,000 users.
8
Happy UsersDockerElastic Container
Services
By leveraging container technology, we can spin up new services quickly. It’s very
cost-effective and enables new approaches to be easily included in your workflows
Automated video transcription
High precision text analytics
9. In-Video Search!
9
The Azure Media Services cloud platform is able to ingest audio and video files and
automatically generates a >90% accurate transcription (English only)
9
By combining Amazon, Docker and Microsoft Azure, we were able to go from first prototype
to global implementation in 7 weeks in our Enterprise search platform.
10. From Code to Container
10
We can write code in an IDE,
commit to Git Repo, Build a
Docker Container, test and
deploy to AWS in about 3
minutes!
13. Artificial Intelligence
1313
Skills and Expertise Lookup:
Department Information Delivery:
Information Lookup:
• Uses machine learning and neural networks to help bring
context to user input
• Users a series of natural language processing algorithms to help
validate and clean the input data
• Connects to AstraZeneca API’s to gather individuals skillsets
• Built as a service, allowing multiple input channels
• Slack
• Chatter
• Skype
14. Predictive Modelling
14
With larger, complex datasets, machine-learning techniques can accelerate and increase
accuracy of decision making, improving our productivity
Optimised models created using cloud elastic approaches offer another big data engine
opportunity across the enterprise:- salesforce optimisation, employee retention, resource
allocation, patient responder prediction, manufacturing/supply chain improvements.
15. Confidentiality Notice
This file is private and may contain confidential and proprietary information. If you have received this file in error, please notify us and remove
it from your system and note that you must not copy, distribute or take any action in reliance on it. Any unauthorized use or disclosure of the
contents of this file is not permitted and may be unlawful. AstraZeneca PLC, 2 Kingdom Street, London, W2 6BD, UK, T: +44(0)20 7604 8000,
F: +44 (0)20 7604 8151, www.astrazeneca.com
15
We are currently scouting Federated Analytics, Mobile Security, Video
Compression & Optimization, Pre-emptive event driven actions….Please get in
touch if you can help
Thank You & Questions!
Steve Woodward steven.woodward@astrazeneca.com
Nick Brown nick.brown@astrazeneca.com