Slides from the lecture given on Artificial Intelligence, IoT and BigData for Driving Innovation in Victoria University of Wellington. This slides contains some of the basic concepts and business models of emerging technologies.
Big Data LDN 2018: THE NEXT WAVE: DATA, AI AND ANALYTICS IN 2019 AND BEYONDMatt Stubbs
Date: 14th November 2018
Location: Keynote Theatre
Time: 13:10 - 13:40
Speaker: Matt Aslett
Organisation: 451 Research
About: As 2018 draws to a close, Matt Aslett, Research VP, 451 Research looks ahead to 2019 and the key trends the research company’s Data, AI and Analytics team is anticipating for the year ahead, including the continued rise of DataOps; the increased importance of data science operationalisation; mainstream adoption of AI and machine learning; data platforms evolution; and the confluence of distributed database and blockchain technology in supporting the move towards planetary-scale data processing and analytics.
IBM CDO Fall Summit 2016 Keynote: Driving innovation in the cognitive eraIBM Analytics
What does it take to drive Innovation in the Cognitive Era? Bob Picciano, Senior Vice President IBM Analytics and Inderpal Bhandari, Global Chief Data Officer, IBM gave this presentation to the CDOs and data professionals in attendance at the IBM Chief Data Officer Strategy Summit in Fall of 2016.
Learn more about the role of CDO: http://ibm.co/2cXasXy
Digitalization of the industries - Automotive, Healthcare, ManufacturingAdam Kowalczyk
Digitalization of the industries - Automotive, Healthcare, Manufacturing
5G together with Internet of Things are game changers and new business model creators. Digitalization opens doors for new industries.
Where does each industry aim to stand in regards to the digitalization?
There are also two game changers which are enabling new business models and creating digital future for various industries.
Those are Digital Twin and Artificial (Augmented) Intelligence.
Big Data LDN 2018: SHAPING AN AI-DRIVEN FUTURE WITH AUGMENTED INTELLIGENCE FO...Matt Stubbs
Date: 14th November 2018
Location: AI Lab Theatre
Time: 15:50 - 16:20
Speaker: Patrice Neff
Organisation: Squirro
About: Machine learning and AI need huge amounts of data to train good algorithms. Even in today's Big Data landscape companies still struggle to get access to enough data to train systems. Squirro solves this problems in two ways: easy data access and Pragmatic AI.
Squirro's pragmatic AI approach allows companies to very quickly gain value from their data, without having to spend weeks on training machine learning models.
Big Data LDN 2018: THE NEXT WAVE: DATA, AI AND ANALYTICS IN 2019 AND BEYONDMatt Stubbs
Date: 14th November 2018
Location: Keynote Theatre
Time: 13:10 - 13:40
Speaker: Matt Aslett
Organisation: 451 Research
About: As 2018 draws to a close, Matt Aslett, Research VP, 451 Research looks ahead to 2019 and the key trends the research company’s Data, AI and Analytics team is anticipating for the year ahead, including the continued rise of DataOps; the increased importance of data science operationalisation; mainstream adoption of AI and machine learning; data platforms evolution; and the confluence of distributed database and blockchain technology in supporting the move towards planetary-scale data processing and analytics.
IBM CDO Fall Summit 2016 Keynote: Driving innovation in the cognitive eraIBM Analytics
What does it take to drive Innovation in the Cognitive Era? Bob Picciano, Senior Vice President IBM Analytics and Inderpal Bhandari, Global Chief Data Officer, IBM gave this presentation to the CDOs and data professionals in attendance at the IBM Chief Data Officer Strategy Summit in Fall of 2016.
Learn more about the role of CDO: http://ibm.co/2cXasXy
Digitalization of the industries - Automotive, Healthcare, ManufacturingAdam Kowalczyk
Digitalization of the industries - Automotive, Healthcare, Manufacturing
5G together with Internet of Things are game changers and new business model creators. Digitalization opens doors for new industries.
Where does each industry aim to stand in regards to the digitalization?
There are also two game changers which are enabling new business models and creating digital future for various industries.
Those are Digital Twin and Artificial (Augmented) Intelligence.
Big Data LDN 2018: SHAPING AN AI-DRIVEN FUTURE WITH AUGMENTED INTELLIGENCE FO...Matt Stubbs
Date: 14th November 2018
Location: AI Lab Theatre
Time: 15:50 - 16:20
Speaker: Patrice Neff
Organisation: Squirro
About: Machine learning and AI need huge amounts of data to train good algorithms. Even in today's Big Data landscape companies still struggle to get access to enough data to train systems. Squirro solves this problems in two ways: easy data access and Pragmatic AI.
Squirro's pragmatic AI approach allows companies to very quickly gain value from their data, without having to spend weeks on training machine learning models.
Big Data LDN 2018: ACCELERATING YOUR ANALYTICS JOURNEY WITH REAL-TIME AIMatt Stubbs
Date: 13th November 2018
Location: Keynote Theatre
Time: 14:30 - 15:00
Speaker: Michael O'Connell
Organisation: TIBCO
About: AI is right here, right now—and changing our lives. The ever-present need for business optimization, combined with a long history of applied statistics, explosive growth in available data and recent advances in cloud computing, has created a perfect storm of innovation. This presentation shows real-time AI in action, including real-world case studies in equipment surveillance, dynamic pricing, risk management, route optimization and customer engagement.
IBM Virtual Finance Forum 2016: Top 10 reasons to attendIBM Analytics
Explore the top 10 reasons to attend IBM's Virtual Finance Forum 2016 for insights and best practices on performance management in the cognitive era. Attend your choice of three broadcasts of IBM's Virtual Finance Forum 2016: http://bit.ly/oct5am, http://bit.ly/Oct512Noon or http://bit.ly/oct5eve.
Market Research Reports, Inc. has announced the addition of “Big Data in Global Retail Market 2021” research report to their offering. See more at - http://mrr.cm/U6V
Big Data LDN 2018: CONNECTING SILOS IN REAL-TIME WITH DATA VIRTUALIZATIONMatt Stubbs
Date: 14th November 2018
Location: Keynote Theatre
Time: 13:50 - 14:20
Speaker: Becky Smith
Organisation: Denodo
About: How many users inside and outside of your organization access your organization’s data? Dozens? Hundreds is probably more like it, each with their own structure and content requirements as well as different access rights. As a result, many organizations have witnessed the formation of “data delivery mills,” in various shapes and sizes. How does one create order and reliability in this world of chaotic data streams? Quite easily, if it’s done with data virtualization.
According to Gartner, "through 2020, 50% of enterprises will implement some form of data virtualization as one enterprise production option for data integration.” Data virtualization enables organizations to gain data insights from multiple, distributed data sources without the time-consuming processes of data extraction and loading. This allows for faster insights and fact-based decisions, which help business realize value sooner.
Join us to find out more about:
• What data virtualization actually means and how it differs from traditional data integration approaches.
• How you can connect and combine all your data in real-time, without compromising on scalability, security or governance.
• The benefits of data virtualization and its most important use cases.
To view recording of this webinar please use the below URL:
http://wso2.com/library/webinars/2016/08/analytics-as-your-business-edge/
Data is the new oil! For most enterprises, data is the oil you’ve been sitting on without realizing its value. You can gain many useful insights from data that lead to new and better products and operations, enables new user experiences, allows better understanding of customers, makes interactions seamless and enables new pay per use business models and dynamic pricing models. Furthermore, data itself can be monetized. Enterprises can broker interactions between end users as done in digital advertising or sell insights to third parties in anonymized forms. Just like in Google and Facebook, data can be a primary asset that organizations collect as part of their operations.
Top 20 artificial intelligence companies to watch out in 2022Kavika Roy
Artificial intelligence is fast becoming an intrinsic part of every industry.
It’s estimated that the global AI market will grow at a rate of 40.2% CAGR (Compound Annual Growth Rate) from the year 2021 to 2028. While the top names spend on research, the smaller organizations rely on offshore AI companies to embrace artificial intelligence and machine learning technology and integrate them into their business processes.
Working with the right AI company can help streamline the business operations, optimize the resources, and increase returns by changing the way management and employees perform their day-to-day activities at work.
Here are the top 20 artificial intelligence companies to watch out for in 2022:-
https://www.datatobiz.com/blog/top-artificial-intelligence-companies/
Topic: Driving Business Insights with Hadoop and Big Data Platforms
Mr. Krishnan is a recognized expert worldwide in the strategy, architecture and implementation of high performance data warehousing solutions. He is a visionary data warehouse thought leader, ranked as one of the top 25 data warehouse consultants in the world, and an independent analyst, writing and speaking at industry leading conferences, user groups and trade publications. He has authored three eBooks, over 125 plus articles, viewpoints, whitepapers and case studies in Big Data, Business Intelligence, Data Warehousing and Data Ware-house Appliances and Architectures. He has co-authored a book with Bill Inmon titled “Building The Unstructured Data Warehouse”
A recognized authority on Unstructured data integration, text mining and text analytics. Along with Bill Inmon, he is promoting the next generation of data warehousing, primarily on DW 2.0 platform with unstructured data integration and social intelligence as key areas in BIG data and analytics.
Mr. Krishnan will also be joining us from Chicago, United States on video conference, his session will focus on the world we live in today, driven by an insane amount of data and information being flooded all the time at us whether on smartphones or social media networks or on our computing platforms. What is the need for this information? What is it influencing us towards? Who do we influence? Where is the profitability and margin in this mode of advertising and crowdsourcing? The answer to these questions and more of the type can be found by Business users and SME’s when they drive the information towards delivering successful business insights, the same mode that was used by companies like Google and Facebook to create their platforms and the position in the industry. In this session we will discuss the powerful platforms like Hadoop and NoSQL delivering business insights to the business teams and delivering vast amount of analytical insights that will bring more competitive strategy and positioning to the business. We will also quickly touchbase on ownership and governance models for the program.
Welcome to the Age of Big Data in Banking Andy Hirst
Big Data in banking presentation from Sibos Dubai 2013 . What are use cases driving deployments in Banking ? See the use cases SAP is involved In banking in 2013
Richard Bishara - Artificial Intelligence and its impact on BusinessRichard Bishara
Richard Bishara, one of the most widely adopted advancements in technology is Artificial Intelligence (AI) technology. It is the latest tech trend in enterprises.
Towards the Next Generation Financial Crimes Platform - How Data, Analytics, ...Molly Alexander
Towards the Next Generation Financial Crimes Platform - How Data, Analytics, & ML Are Transforming the Fight Against Fraud, AML & Cybersecurity -Nadeem Asghar
A revolution is under way where businesses and their systems are connecting to digital communities of existing and potential partners. In this world:• Sellers quickly find new business opportunities with a network of purchase-ready prospects
• Buyers efficiently discover new sources of supply and coordinate orders across their supply chains — all in real-time
• Companies can have transparency into payables and receivables to make better working capital decisions
In this session we will investigate the key elements that allow the emerging leaders to embrace the new world of Networked Business, and what steps you must take to continue to flourish.
Top Business Intelligence Trends for 2016 by Panorama SoftwarePanorama Software
10 top BI trends for 2016 – by Panorama
Its all about the insight
Visual perception rules
The learning suggestive system - AI gets real
The data product chain becomes democratized
Cloud (finally)
“Mobile”
Automated data integration
Interned of things data accelerating into reality
Hadoop accelerators are the last chance for Hadoop
Fading of the centralized on–premise DWH
Big Data LDN 2018: ACCELERATING YOUR ANALYTICS JOURNEY WITH REAL-TIME AIMatt Stubbs
Date: 13th November 2018
Location: Keynote Theatre
Time: 14:30 - 15:00
Speaker: Michael O'Connell
Organisation: TIBCO
About: AI is right here, right now—and changing our lives. The ever-present need for business optimization, combined with a long history of applied statistics, explosive growth in available data and recent advances in cloud computing, has created a perfect storm of innovation. This presentation shows real-time AI in action, including real-world case studies in equipment surveillance, dynamic pricing, risk management, route optimization and customer engagement.
IBM Virtual Finance Forum 2016: Top 10 reasons to attendIBM Analytics
Explore the top 10 reasons to attend IBM's Virtual Finance Forum 2016 for insights and best practices on performance management in the cognitive era. Attend your choice of three broadcasts of IBM's Virtual Finance Forum 2016: http://bit.ly/oct5am, http://bit.ly/Oct512Noon or http://bit.ly/oct5eve.
Market Research Reports, Inc. has announced the addition of “Big Data in Global Retail Market 2021” research report to their offering. See more at - http://mrr.cm/U6V
Big Data LDN 2018: CONNECTING SILOS IN REAL-TIME WITH DATA VIRTUALIZATIONMatt Stubbs
Date: 14th November 2018
Location: Keynote Theatre
Time: 13:50 - 14:20
Speaker: Becky Smith
Organisation: Denodo
About: How many users inside and outside of your organization access your organization’s data? Dozens? Hundreds is probably more like it, each with their own structure and content requirements as well as different access rights. As a result, many organizations have witnessed the formation of “data delivery mills,” in various shapes and sizes. How does one create order and reliability in this world of chaotic data streams? Quite easily, if it’s done with data virtualization.
According to Gartner, "through 2020, 50% of enterprises will implement some form of data virtualization as one enterprise production option for data integration.” Data virtualization enables organizations to gain data insights from multiple, distributed data sources without the time-consuming processes of data extraction and loading. This allows for faster insights and fact-based decisions, which help business realize value sooner.
Join us to find out more about:
• What data virtualization actually means and how it differs from traditional data integration approaches.
• How you can connect and combine all your data in real-time, without compromising on scalability, security or governance.
• The benefits of data virtualization and its most important use cases.
To view recording of this webinar please use the below URL:
http://wso2.com/library/webinars/2016/08/analytics-as-your-business-edge/
Data is the new oil! For most enterprises, data is the oil you’ve been sitting on without realizing its value. You can gain many useful insights from data that lead to new and better products and operations, enables new user experiences, allows better understanding of customers, makes interactions seamless and enables new pay per use business models and dynamic pricing models. Furthermore, data itself can be monetized. Enterprises can broker interactions between end users as done in digital advertising or sell insights to third parties in anonymized forms. Just like in Google and Facebook, data can be a primary asset that organizations collect as part of their operations.
Top 20 artificial intelligence companies to watch out in 2022Kavika Roy
Artificial intelligence is fast becoming an intrinsic part of every industry.
It’s estimated that the global AI market will grow at a rate of 40.2% CAGR (Compound Annual Growth Rate) from the year 2021 to 2028. While the top names spend on research, the smaller organizations rely on offshore AI companies to embrace artificial intelligence and machine learning technology and integrate them into their business processes.
Working with the right AI company can help streamline the business operations, optimize the resources, and increase returns by changing the way management and employees perform their day-to-day activities at work.
Here are the top 20 artificial intelligence companies to watch out for in 2022:-
https://www.datatobiz.com/blog/top-artificial-intelligence-companies/
Topic: Driving Business Insights with Hadoop and Big Data Platforms
Mr. Krishnan is a recognized expert worldwide in the strategy, architecture and implementation of high performance data warehousing solutions. He is a visionary data warehouse thought leader, ranked as one of the top 25 data warehouse consultants in the world, and an independent analyst, writing and speaking at industry leading conferences, user groups and trade publications. He has authored three eBooks, over 125 plus articles, viewpoints, whitepapers and case studies in Big Data, Business Intelligence, Data Warehousing and Data Ware-house Appliances and Architectures. He has co-authored a book with Bill Inmon titled “Building The Unstructured Data Warehouse”
A recognized authority on Unstructured data integration, text mining and text analytics. Along with Bill Inmon, he is promoting the next generation of data warehousing, primarily on DW 2.0 platform with unstructured data integration and social intelligence as key areas in BIG data and analytics.
Mr. Krishnan will also be joining us from Chicago, United States on video conference, his session will focus on the world we live in today, driven by an insane amount of data and information being flooded all the time at us whether on smartphones or social media networks or on our computing platforms. What is the need for this information? What is it influencing us towards? Who do we influence? Where is the profitability and margin in this mode of advertising and crowdsourcing? The answer to these questions and more of the type can be found by Business users and SME’s when they drive the information towards delivering successful business insights, the same mode that was used by companies like Google and Facebook to create their platforms and the position in the industry. In this session we will discuss the powerful platforms like Hadoop and NoSQL delivering business insights to the business teams and delivering vast amount of analytical insights that will bring more competitive strategy and positioning to the business. We will also quickly touchbase on ownership and governance models for the program.
Welcome to the Age of Big Data in Banking Andy Hirst
Big Data in banking presentation from Sibos Dubai 2013 . What are use cases driving deployments in Banking ? See the use cases SAP is involved In banking in 2013
Richard Bishara - Artificial Intelligence and its impact on BusinessRichard Bishara
Richard Bishara, one of the most widely adopted advancements in technology is Artificial Intelligence (AI) technology. It is the latest tech trend in enterprises.
Towards the Next Generation Financial Crimes Platform - How Data, Analytics, ...Molly Alexander
Towards the Next Generation Financial Crimes Platform - How Data, Analytics, & ML Are Transforming the Fight Against Fraud, AML & Cybersecurity -Nadeem Asghar
A revolution is under way where businesses and their systems are connecting to digital communities of existing and potential partners. In this world:• Sellers quickly find new business opportunities with a network of purchase-ready prospects
• Buyers efficiently discover new sources of supply and coordinate orders across their supply chains — all in real-time
• Companies can have transparency into payables and receivables to make better working capital decisions
In this session we will investigate the key elements that allow the emerging leaders to embrace the new world of Networked Business, and what steps you must take to continue to flourish.
Top Business Intelligence Trends for 2016 by Panorama SoftwarePanorama Software
10 top BI trends for 2016 – by Panorama
Its all about the insight
Visual perception rules
The learning suggestive system - AI gets real
The data product chain becomes democratized
Cloud (finally)
“Mobile”
Automated data integration
Interned of things data accelerating into reality
Hadoop accelerators are the last chance for Hadoop
Fading of the centralized on–premise DWH
Learn how you can generate revenue, reduce risk and save costs by monetizing your organisations data. Apply advanced machine learning and AI techniques to get insights and generate actions out of your data. Build the robust IT systems to get started with the data and AI.
This presentation was made on June 16, 2020.
A recording of the presentation can be viewed here: https://youtu.be/khjW1t0gtSA
AI is unlocking new potential for every enterprise. Organizations are using AI and machine learning technology to inform business decisions, predict potential issues, and provide more efficient, customized customer experiences. The results can enable a competitive edge for the business.
H2O.ai is a visionary leader in AI and machine learning and is on a mission to democratize AI for everyone. We believe that every company can become an AI company, not just the AI Superpowers. We are empowering companies with our leading AI and Machine Learning platforms, our expertise, experience and training to embark on their own AI journey to become AI companies themselves. All companies in all industries can participate in this AI Transformation.
Tune into this virtual meetup to learn how companies are transforming their business with the power of AI and where to start.
About Parul Pandey:
Parul is a Data Science Evangelist here at H2O.ai. She combines Data Science , evangelism and community in her work. Her emphasis is to spread the information about H2O and Driverless AI to as many people as possible, She is also an active writer and has contributed towards various national and international publications.
Rohit Talwar - The Future of Business, OMN Book Launch eventOMN
Rohit Talwar, Futurist & Author, presentation on The Future of Business.
Presented at OMN London's The Future of Work – The All-Stars Edition on 11th June 2015 aboard the HMS President, London.
Using technology to improve our innovative business ideas, with focus on IoT and urban development.
May 21, 2017 - Oasis500 Bootcamp session for Urban Development Startups
Cloud technology will be the backbone infrastructure for more sustainable cities of the future, but you can start transforming your city today. AWS and our partner ecosystem can help you implement smart city solutions to support your goals around energy efficiency, air quality, intelligent transportation, public safety, public health, and other programs focused on improving quality of life for your citizens.
What makes a city smart? Your data and your vision! By leveraging the multiple data sources that you have today and integrating additional datasets, you can design modern programs and services that make a city smart. Through sensors, connectivity, and analytics, AWS can help you begin your transformation.
To overcome IT Challenge , which is:
Product Cycle Shorten ,
Unpredictability,
Need to replan faster,
Predication Future,
Respond to Market,
Focus from PROCESS to People,
Data Doubles every 18 Months
Hyper Connected People in Real Time interacting in an unstructured way,
We use the capability of Analytic and big data with Predictive Analytic
The newest buzzword after Big Data is AI. From Google search to Facebook messenger bots, AI is also everywhere.
• Machine learning has gone mainstream. Organizations are trying to build competitive advantage with AI and Big Data.
• But, what does it take to build Machine Learning applications? Beyond the unicorn data scientists and PhDs, how do you build on your big data architecture and apply Machine Learning to what you do?
• This talk will discuss technical options to implement machine learning on big data architectures and how to move forward.
How businesses can align data initiatives with future goals. For the event: AI, Data, and CRM: Shaping Business through Unique Experiences. For the event: AI, Data, and CRM: Shaping Business through Unique Experiences
Dr Christoph Nieuwoudt- AI in Financial Servicesitnewsafrica
Dr. Christoff Nieuwoudt delivered a keynote on AI in Financial Services at Digital Finance Africa 2023 on the 2nd of August 2023 at Gallagher Convention Centre, Johannesburg, Midrand.
Integration of Big Data Analytics with IoT and OT Systems to Turn Insights in...Alaa Mahjoub
Presentation Main Points:
A- The Role of OT & IoT Systems in Digital Business Transformation
1- What is digital business
2- Digital business platform reference architecture
3- How to use the enterprise architecture to plan and implement digital business transformation
4- Use case: transportation industry digital business platform
B- How to Integrate Big Data Analytics with IoT and OT Systems
1- Basic definitions related to big data analytics
2- Essentials of big data strategy
3- Use cases of integrating big data analytics with IoT and OT systems (in transportation and petroleum industries)
4- Big data platform integration options and their cost benefit trade-offs
Technology Trends and a Digital Revolution - Alexandre BlauthGeneXus
Será presentado la visión de Gartner sobre las 10 principales Tendencias de Tecnología y su impacto en nuestros negocios, que Gartner llama de la Revolución Digital, con sus desafíos y oportunidades.
The UAE AI Strategy: Building Intelligent EnterprisesSaeed Al Dhaheri
This presentation was presented at the CIOMajlis meeting and highlights the UAE AI strategy and how to build Intelligent AI-driven Enterprises. Examples of some AI applications in the UAE public sector were highlighted.
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNINGsunnypatil1778
Put in context, artificial intelligence refers to the general ability of computers to emulate human thought and perform tasks in real-world environments, while machine learning refers to the technologies and algorithms that enable systems to identify patterns, make decisions, and improve themselves through experience ...
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
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.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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Artificial Intelligence, IoT and BigData for Driving Innovation
1. Internet of Things, Big Data
and Artificial Intelligence For
Driving Innovation
Management
by
Abdul Wahid
2. Who AM I
Abdul Wahid
Founder GleeTech
Co-Founder Polanyio and PeopleSonic
• 13 years of Experience in IT
• PhD (Machine Learning).
• 2016, Victoria University of Wellington
• Develops intelligent digital products.
• Passionate about
• AI/Machine Learning/IoT/BigData
• Tech Startups/Businesses
3. Content
• Internet of Things (IoT)
• Introduction
• IoT Business Models
• Big Data
• Introduction
• Big Data Business Models
• Artificial Intelligence
• Introduction
• What AI can do
• AI Approaches
• AI first Business Model
• Conclusion
5. Internet of Things (IoT)
A network of
internet-connected objects
able to collect and exchange
data using embedded sensors.
- BusinessInsider
(http://www.businessinsider.com/what-is-the-internet-
of-things-definition-2016-8)
7. Internet of Things - Business Models
• Data as a driver
• Real time data decisions
• New alliances
• competitor outsourcing
• distributors
• New Services
• self driving taxis
• Pay per use
• Asset tracking/monitoring
• Others
14. Artificial Intelligence
• “The science and engineering of making
intelligent machines.”
- John McCarthy, 1956.
• Weak AI
• intelligent system but designed and trained
for a particular task.
• Strong AI
• intelligent system designed with generalized
human like cognitive abilities.
15. What AI can do
INPUT A RESPONSE B APPLICATION
Picture Are there human faces? (0 or 1) Photo tagging
Loan Application Will they repay the loan? (0 or 1) Loan approvals
Ad plus user information Will user click on ad? (0 or 1) Targeted online ads
Audio clip Transcript of audio clip Speech recognition
English Sentence French Sentence Language translation
Sensor from plane engine, etc Is it about to fail? Preventive maintenance
Car camera and other sensors Position of other cars Self-driving cars
X Y ...
16. Human vs AI
When AI surpasses human performance, the progress slows down.
Performance
Time
17.
18. AI First Business Model?
AI research is open, anyone can download/develop stat-of-the-art algorithms.
How to protect your business and get competitive advantage?
Data Product
Users
Vestibulu
m nec
congue
tempus
19. AI first Business Model - Scarcities
• Data
• Capture more data,
• Capture Unique data
• Talent
• AI Experts who can customize AI solutions according to the business
• Category Leadership
• Create better products, thereby becoming leaders in product adoption
• Optimize processes by augmenting humans, thereby becoming leaders in
product pricing
• Reduce costs by replacing humans, thereby becoming leaders in workforce
efficiency
20.
21.
22. Conclusion
- Analysis of Things
- Data Science as Service
- Big Data Empowering
AI
- End to End solution
providers
AI
Artificial Intelligence, Deep Learning, Chatbots,
Data Science, Analytics Platforms
Big Data Twitter, Blogs, News, Websites, Internet
IoT Sensors, Smart Phones, Devices
Data
Enterprise level data, 3rd Party
application data