The document discusses building a business case for investing in data by highlighting the large percentage of unstructured data growth across different industries like healthcare, government, utilities and media. It emphasizes that 80% of new data is unstructured and invisible to computers. The world is being rewritten in software code and cloud is the new platform for reimagining industries. It then discusses the need for predictive, prescriptive and cognitive systems to make sense of vast amounts of data. Investing in data integration, governance and master data management is essential to unlock insights from all data sources and provide a comprehensive view of information. Justifying such investments requires looking at the potential costs of data quality failures and benefits of avoiding rework.
Certus Accelerate - Disruptive Thinking Disrupting Markets by David MastCertus Solutions
With at least 1500 self-declared start-ups currently operating in Australia – and a spate of recent global success stories like Atlassian, Freelancer, and OzForex – larger enterprises are taking notice of their up-and-coming counterparts like never before. Many big businesses are proclaiming their intent to “disrupt like a start-up”; some are taking it further with seed funds, incubators, and employee stints in co-working hubs. But what does disrupting like a start-up really mean? And can traditional organisations really do it?
As a Technologist and IBM’s Bluemix lead for A/NZ, David has witnessed firsthand how organisations can transform with themselves through disruptive technologies and business models. In this session he will share with you the blueprint to becoming a disruptive market force.
Certus Accelerate - User Centred Everything by Sam WilliamsCertus Solutions
Designing business success - Sam Williams
External and internal, customers are becoming far more discerning and now expect to have rich information at their fingertips, immersive mobile interactions with your brand and personalised digital experiences that are tuned specifically to their needs. Combining a deep data analytics capability with User Experience Design can deliver a truly immersive and personalised experience that will delight your customers and deliver lasting competitive advantage to your business.
Certus Accelerate - A Crystal Ball for Asset Intensive Industry by Scott PetersCertus Solutions
Over the past ten years asset intensive industries have had to learn to cope with disruptive influences including industry deregulation, changing customer demographics, rapid demand growth and environmental challenges. Whilst this change has been wide spread, at its core the digital revolution is primarily driven by consumer expectations and emerging technologies. Customers, both internal and external are now demanding better, more cost effective, portable services with the ability to personalise to their own specific needs.
Certus Accelerate - Disruptive Thinking Disrupting Markets by David MastCertus Solutions
With at least 1500 self-declared start-ups currently operating in Australia – and a spate of recent global success stories like Atlassian, Freelancer, and OzForex – larger enterprises are taking notice of their up-and-coming counterparts like never before. Many big businesses are proclaiming their intent to “disrupt like a start-up”; some are taking it further with seed funds, incubators, and employee stints in co-working hubs. But what does disrupting like a start-up really mean? And can traditional organisations really do it?
As a Technologist and IBM’s Bluemix lead for A/NZ, David has witnessed firsthand how organisations can transform with themselves through disruptive technologies and business models. In this session he will share with you the blueprint to becoming a disruptive market force.
Certus Accelerate - User Centred Everything by Sam WilliamsCertus Solutions
Designing business success - Sam Williams
External and internal, customers are becoming far more discerning and now expect to have rich information at their fingertips, immersive mobile interactions with your brand and personalised digital experiences that are tuned specifically to their needs. Combining a deep data analytics capability with User Experience Design can deliver a truly immersive and personalised experience that will delight your customers and deliver lasting competitive advantage to your business.
Certus Accelerate - A Crystal Ball for Asset Intensive Industry by Scott PetersCertus Solutions
Over the past ten years asset intensive industries have had to learn to cope with disruptive influences including industry deregulation, changing customer demographics, rapid demand growth and environmental challenges. Whilst this change has been wide spread, at its core the digital revolution is primarily driven by consumer expectations and emerging technologies. Customers, both internal and external are now demanding better, more cost effective, portable services with the ability to personalise to their own specific needs.
The Institution's Innovation Council (Ministry of HRD initiative) and the Institution of Electronics and Telecommunication Engineers (IETE) invited me to grace "World Telecommunication & Information Society Day" on 18 May 2020.
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
Intelligent Maintenance: Mapping the #IIoT ProcessDan Yarmoluk
A presentation about Industrial IoT, the value chain and real-world use cases; how to create value with IoT at your organization with an emphasis on predictive maintenance (bearing fault detection).
Wikibon is a different type of analyst firm that uses digital technology to conduct and share research on digital business and IT. Presented by Peter Burris and Dave Vellante, here are our 2017 predictions.
The professionals at Booz Allen Hamilton, a leading strategy and technology consulting firm, understand Cloud Computing. This model has emerged as a new computing paradigm that arrays massive numbers of computers in centralized, distributed data centers to deliver web-based
applications, application platforms, and services via a utility model.
The Perfect IT Couple: Service Management Meets Asset ManagementBMC_DSM
Asset management is coming into its own.
There was a time when asset management was not seen as a high priority. Although ITAM has always been multi-dimensional, the truth is, managing assets was often put on the backburner with little thought placed on strategic planning.
Well, that's the past.
Big data in foods & IBM Chef Watson agrofood parkAnders Quitzau
Presentation given @Agrofood Park on May 28, 2015. The presentation defines big data in relation to agriculture and foods, challenges and opportunities. And as a pragmatic, yet sophisticated and hi-tech example, describes how IBM Chef Watson applies big data when creating innovative new recipes.
IBM Academy of Technology & Cognitive ComputingNico Chillemi
I delivered this presentation at University at Chieti-Pescara in Abruzzo (Italy) in September 2015, introducing IBM Academy of Technology and talking about Cognitiva Computing and Analytics with IBM Watson and IBM IT Operations Analytics Log Analysis (ITOA). The video in Italian is available on YouTube, please contact me if you are interested. Thanks to Amanda Tenedini for the help with Social Media and to Piero Leo for the help with IBM Watson.
Accelerate Business Growth and Outcomes with AICognizant
Here’s how 10 organizations are using AI to accelerate decision making, improve processes, enhance user engagement, reduce costs and drive business performance.
A presentation given in Denmark, introducing cognitive computing, highlighting potential benefits and early use-cases in insurance with IBM Watson. The presentation included demos.
Link to youtube video of FlexRate Insurers self-service demo: https://www.youtube.com/watch?v=8xRN9RzpVBE&spfreload=10
Link to IBM Watson white paper on Cognitive Computing in Insurance:
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
Purpose: The slides provide an overview on the Cognitive Computing trend for IBM clients and external stakeholders
Content: Summary information about the Cognitive Computing trend is provided along with many links to additional resources.
How To Use This Report: This report is best read/studied and used as a learning document. You may want to view the slides in slideshow mode so you can easily follow the links
Available on Slideshare: This presentation (and other HorizonWatch Trend Reports for 2015) will be available publically on Slideshare at http://www.slideshare.net/horizonwatching
Please Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.
IW14 Keynote, Michelle Shuttleworth, Deloitte ConsultingSoftware AG
Presentation Title: Tech Trends 2014; Inspiring Disruption
Michelle Shuttleworth, Director, Deloitte Consulting
Innovation World 2014 conference, Oct 13-15, 2014, at the Hyatt Regency New Orleans, produced by Software AG. Three days of vision, inspiration and insight. Innovation World is THE global event for digital leaders who are driven to leverage the Software AG Suite: Alfabet, Apama, ARIS, webMethods, Software AG Live, Terracotta and Adabas-Natural.
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
The last year has put a new lens on what speed to insights actually mean - day-old data became useless, and only in-the-moment-insights became relevant, pushing data and analytics teams to their breaking point. The results, everyone has fast forwarded in their transformation and modernization plans, and it's also made us look differently at dashboards and the type of information that we're getting the business. Join this live event and hear about the data teams ditching their dashboards to embrace modern cloud analytics.
The Institution's Innovation Council (Ministry of HRD initiative) and the Institution of Electronics and Telecommunication Engineers (IETE) invited me to grace "World Telecommunication & Information Society Day" on 18 May 2020.
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
Intelligent Maintenance: Mapping the #IIoT ProcessDan Yarmoluk
A presentation about Industrial IoT, the value chain and real-world use cases; how to create value with IoT at your organization with an emphasis on predictive maintenance (bearing fault detection).
Wikibon is a different type of analyst firm that uses digital technology to conduct and share research on digital business and IT. Presented by Peter Burris and Dave Vellante, here are our 2017 predictions.
The professionals at Booz Allen Hamilton, a leading strategy and technology consulting firm, understand Cloud Computing. This model has emerged as a new computing paradigm that arrays massive numbers of computers in centralized, distributed data centers to deliver web-based
applications, application platforms, and services via a utility model.
The Perfect IT Couple: Service Management Meets Asset ManagementBMC_DSM
Asset management is coming into its own.
There was a time when asset management was not seen as a high priority. Although ITAM has always been multi-dimensional, the truth is, managing assets was often put on the backburner with little thought placed on strategic planning.
Well, that's the past.
Big data in foods & IBM Chef Watson agrofood parkAnders Quitzau
Presentation given @Agrofood Park on May 28, 2015. The presentation defines big data in relation to agriculture and foods, challenges and opportunities. And as a pragmatic, yet sophisticated and hi-tech example, describes how IBM Chef Watson applies big data when creating innovative new recipes.
IBM Academy of Technology & Cognitive ComputingNico Chillemi
I delivered this presentation at University at Chieti-Pescara in Abruzzo (Italy) in September 2015, introducing IBM Academy of Technology and talking about Cognitiva Computing and Analytics with IBM Watson and IBM IT Operations Analytics Log Analysis (ITOA). The video in Italian is available on YouTube, please contact me if you are interested. Thanks to Amanda Tenedini for the help with Social Media and to Piero Leo for the help with IBM Watson.
Accelerate Business Growth and Outcomes with AICognizant
Here’s how 10 organizations are using AI to accelerate decision making, improve processes, enhance user engagement, reduce costs and drive business performance.
A presentation given in Denmark, introducing cognitive computing, highlighting potential benefits and early use-cases in insurance with IBM Watson. The presentation included demos.
Link to youtube video of FlexRate Insurers self-service demo: https://www.youtube.com/watch?v=8xRN9RzpVBE&spfreload=10
Link to IBM Watson white paper on Cognitive Computing in Insurance:
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
Purpose: The slides provide an overview on the Cognitive Computing trend for IBM clients and external stakeholders
Content: Summary information about the Cognitive Computing trend is provided along with many links to additional resources.
How To Use This Report: This report is best read/studied and used as a learning document. You may want to view the slides in slideshow mode so you can easily follow the links
Available on Slideshare: This presentation (and other HorizonWatch Trend Reports for 2015) will be available publically on Slideshare at http://www.slideshare.net/horizonwatching
Please Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.
IW14 Keynote, Michelle Shuttleworth, Deloitte ConsultingSoftware AG
Presentation Title: Tech Trends 2014; Inspiring Disruption
Michelle Shuttleworth, Director, Deloitte Consulting
Innovation World 2014 conference, Oct 13-15, 2014, at the Hyatt Regency New Orleans, produced by Software AG. Three days of vision, inspiration and insight. Innovation World is THE global event for digital leaders who are driven to leverage the Software AG Suite: Alfabet, Apama, ARIS, webMethods, Software AG Live, Terracotta and Adabas-Natural.
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
The last year has put a new lens on what speed to insights actually mean - day-old data became useless, and only in-the-moment-insights became relevant, pushing data and analytics teams to their breaking point. The results, everyone has fast forwarded in their transformation and modernization plans, and it's also made us look differently at dashboards and the type of information that we're getting the business. Join this live event and hear about the data teams ditching their dashboards to embrace modern cloud analytics.
Riding and Capitalizing the Next Wave of Information TechnologyGoutama Bachtiar
Delivered in guest lecture session for International Business Accounting Program, Faculty of Business and Management, Petra Christian University, Surabaya, East Java, Indonesia.
Booz Allen Hamilton uses its Cloud Analytics Reference Architecture to build technology infrastructures that can withstand the weight of massive datasets – and deliver the deep insights organizations need to drive innovation.
Fuel for the cognitive age: What's new in IBM predictive analytics IBM SPSS Software
IBM recently launched an updated version of its predictive analytics platform. Explore the latest features, including R, Python and Spark integration and more powerful decision optimization.
Data is poised to play an important role in the enterprises of the future, with businesses looking to scale up production and recover costs. Visit: https://www.raybiztech.com/blog/data-analytics/what-are-big-data-data-science-and-data-analytics
Are you exploring the best way for your business to save expenses, enhance margin, or reinvest in the coming years? Check out the top technological advancements in business that are beneficial for business expansion and that result in a technology roadmap that has an impact on a number of the organization's strategic goals.
For more information, see: https://www.albiorixtech.com/blog/technology-trends-in-business/
#technology #technologytrends #webappdevelopment #mobileappdevelopment #softwaredevelopment
Keynote presentation from IBM Solutions Connect 2013 covering topics such as changing business world today and how technologies can help organisations cope with this change and move forward.
Calculating the ROI on investing in data products?
Analytics return $13.01 for every dollar spent, according to Nucleus Research. That’s a 13:1 ROI for you, and for your customers when you offer embedded analytics in your SaaS solution. Check out this guide to learn more about the benefits of buying vs. building, and how GoodData customers like Influitive and Demandbase are achieving upwards of 650% ROI.
Leveraging Applied AI to Accelerate Digital Transformation and Maximize Busin...Apttus
Enterprise business is taking a significant leap forward in its ability to maximize business outcomes using Applied AI – conversational and cognitive technologies. Leading organizations are accelerating digital transformation through machine learning, artificial intelligence and virtual assistants designed to streamline and accelerate revenue generation processes.
In this presentation for executives and decision makers, we’ll share insights from the soon-to-be-published Harvard Business Review study on using Applied AI to accelerate B2B Quote-to-Cash processes and commerce. We’ll examine Applied AI emerging trends, best practices, and barriers to adoption.
Certus Accelerate - Why You Need to Invest in Your Data by Vincent McBurneyCertus Solutions
Consider this: Data flows from every device, replacing guessing and approximations with precise information. Yet 80% of this data is unstructured; therefore, invisible to computers and of limited use to business.
Similar to Certus Accelerate - Building the business case for why you need to invest in your data by Julien Redmond (20)
Data Vault 2.0 is a unique system of Data Warehousing created from the ground up to deal with real-world data challenges. Data Vault 2.0 delivers improved total cost of ownership, greatly enhanced operational agility and traceable data governance.
While Bitcoin is often considered the first real use case for blockchain, the technology has come a long way since those early days. Blockchain has been rebuilt from the ground up and is a driving force for new business models and regulated industries. Blockchain is a shared, immutable ledger for recording the history of transactions.
We are in a time of dizzying change. It’s estimated that nearly half of all jobs could be at risk over the next two decades because of Artificial Intelligence, automation, cloud and IoT.
Accelerate 2017_Julien Redmond_Designing Systems to Mitigate Predictable Surp...Certus Solutions
Julien Redmond's presentation for Accelerate 2017!
How can we design systems to mitigate predictable surprises and produce the right information when and where it's needed?
Accelerate 2017_What LEGO + The New York Times have been learning about disru...Certus Solutions
We are in a time of dizzying change. It’s estimated that nearly half of all jobs could be at risk over the next two decades because of Artificial Intelligence, automation, Cloud and IoT.
Humankind has entered uncharted territory in terms of the pace of technological change. The Fourth Industrial Revolution will confront us all - so how do we make sense of it and prepare ourselves for a not-so-dystopian future?
Accelerate 2017_Brand experience and context_Craig ParnhamCertus Solutions
Using location services to change brand experiences
How beacons and location services are transforming everyday experiences
More people than ever have location service-enabled devices, thanks to smartphones. Some product brands have had up to a 19-fold increase in interactions with customers who receive a location-based notification, versus those who do not. Learn about some of the countless examples and how you can benefit from them.
Accelerate 2017_Navigating Digital Disruption_James SlezakCertus Solutions
Keynote: How top organisations like The New York Times are navigating digital disruption
When The New York Times digital edition launched in January of 1996, it was a wholly separate operation, staffed out of a building on the other side of town and updated once a day. Like everything then, it was free.
Twenty years later, digital is at the core of the operation. Despite powerful voices of opposition and difficult economic headwinds, the digital operation is a source of rapid growth.
Innovation and Transformation in Financial ServicesCertus Solutions
Historically, financial services firms have struggled to target and tailor their product offerings to the customer journey. Often only traditional demographic information – gender, age, occupation – is collected with no real insight as to what life stage a customer is in and how this could influence their financial activity.
To compete in a consumer-empowered economy, it is increasingly clear that financial services firms must leverage their information assets to gain a comprehensive understanding of markets, customers, channels, products, regulations, competitors, suppliers, employees and more.
IBM's Watson is a machine-learning platform that’s been built to mirror the same learning process that humans have: Observe, Interpret, Evaluate and Decide. Through the use of this cognitive framework, Watson can search through a database of information and pull out key insights to bridge gaps in human knowledge. It’s expertise scaling for enterprise.
Watson has already helped businesses across a variety of industries increase their customer engagement, data discovery and informed decision making abilities. Is your business next?
Data Stewardship is an approach to Data Governance that formalises accountability for managing information resources on behalf of others and for the best interests of the organization
Data Stewardship consists of the people, organisation, and processes to ensure that the appropriately designated stewards are responsible for the governed data.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
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.
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.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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
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
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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.
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
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
2. HEALTHCARE DATA GOVERNMENT & EDUCATION DATA
99% 88% 94% 84%
Healthcare data comes from sources
such as:
Government & education data comes
from sources such as:
Patient
Sensors
Electronic
Medical
Records
Test
Results
Vehicle Fleet
Sensors
Traffic
Sensors
Student
Evaluations
UTILITIES DATA MEDIA DATA
93% 84% 97% 82%
Utilities data comes from sources
such as:
Media data comes from sources
such as:
Utility
Sensors
Employee
Sensors
Location
Data
Video
and Film
Images Audio
growth by 2017 unstructured growth by 2017 unstructured
growth by 2017 unstructured growth by 2017 unstructured
Data flows from every device, replacing
guessing and approximations with precise
information. Yet 80% of this data is
unstructured; therefore, invisible to
computers and of limited use to business.
By 2020,
of new information will be created
every second for every human
being on the planet.
1.7 MB
IBM Analytics Campus
Consider:
3. The world is being rewritten in software
code, and cloud is the platform on which
the new digital builders—from developers
to business professionals—are
reimagining everything from banking to
retail to healthcare.
100,000,000
lines of code
in a new car
5,000,000
lines of code
in smart appliances
1,200,000
lines of code
in a smartphone
80,000
lines of code
in a pacemaker
IBM Analytics Campus
Consider:
of B2B
collaboration
will take place
through web
APIs next year.
50%
Smart TVs
represented 27% of
all TV sales in 2012;
by 2018, they will
represent 82%.
Smart LED lighting
will grow from 6M
units in 2015 to 570M
units in 2020, used for
safety communication,
health, pollution and
personalized services.
By 2017, there will be
1B connected things
in smart homes,
including appliances,
smoke detectors and
cameras.
Sensors for industrial asset
monitoring and management will
grow from just over 15M units in
2014 to over 40M units in 2018
Smart traffic sensors
and other devices
installed in smart
cities will grow from
237M units in 2015 to
371M in 2017.
Revenues for
smart grid sensors
will grow ten-fold from
2014 to 2021.
Code Tools
Analytics
Data
APIs
By 2020, there will be
925M smart meters
installed worldwide,
more than double the
400M in 2014.
4. So where do we want to go from here?
Predictive Prescriptive Cognitive
5. Cognitive systems can understand the world through sensing and
interaction, reason using hypotheses and arguments and learn from experts
and through data. Watson is the most advanced such system.
Today, businesses in
countries across.
There are
Watson ecosystem partner
companies, with
78%
of business and IT executives
believe that successful business will
manage employees alongside
intelligent machines.
On average there are
36
17
industries are applying cognitive
technologies.
350+
100
of those have taken their product to market.
1.3B
Watson API calls a month
and growing.
Among C-Suite executives familiar
with cognitive computing:
96%
84%
94%
89%
in insurance intend to invest in cognitive
capabilities.
in healthcare believe it will play a
disruptive role in the industry, and 60%
believe they lack the skilled professionals
and technical experience to achieve it.
in retail intend to invest in cognitive
capabilities.
in telecommunications believe
it will have a critical impact on the future of
their business.
IBM Analytics Campus
Consider:
7. The Watson you know that won Jeopardy!
is now an IBM brand for a next generation
of cognitive computing solutions.
IBM Watson
To focus on bringing Watson to market, three
key areas were identified:
• Natural language processing
• Hypothesis generation
• Evidence-based learning
Trained using artificial intelligence (AI) and
machine learning algorithms to sense, predict,
infer, and in some ways, think.
8. Watson solutions aim to enhance, scale, and accelerate human expertise,
targeting a wide range of complex challenges
Natural Language
Discover
Learn
Understand
Confidence
10. So where are we all right now?
Structured
Semi-
structured
Unstructured
11. • Unfortunately, 40% to 50% of data warehouse initiatives end in costly failure.
International Association for Computer Information Systems
• Gartner estimates in 2012 that by 2014, fewer than 30% of business intelligence
(BI) initiatives will align analytics completely with enterprise business drivers,
despite alignment being the foremost BI challenge
• LinkedIn poll in 2013 asked BI experts how much of a BI project was spent in just
getting the data right. The answer came back as around 75–80%.
• Data warehouses are replaced on average every 3–5 years!
Statistical overview
12. What if we could increase and improve each of these?
Structured
Semi-
structured
Unstructured
13. Draw out textual content and classify
» Pull transaction account and card credit and debit text
» Separate known payments for own account to account
» Draw out payees via Bpay, address book
» Run through pattern matching; sidefile suburb and country
» Run through textual analysis against brand and industry word lists
» Tokenise textual and geo to append
- Location
- Spend product area (restaurant, grocery, fitness, etc.)
- Spend frequency
And build real insights?
Build Metadata from transactions
Identify and segment credits and
debits to identify:
» Budgeted spend
» Discretionary spend
» Habits and hobbies
14. So we need a new architecture
and a new approach
15. IBM Analytics Campus
Different approaches require different systems
Systems Security
On premise, Cloud, As a service
Storage
IBM Watson Foundations
IBM Big Data & Analytics Infrastructure
New/Enhanced
Applications
All Data
Real-time
analytics
zone
Enterprise
warehouse
data mart
and analytic
appliances
zone
Information governance zone
Exploration,
landing
and
archive zone
Information
ingestion
and
operational
information
zone
What could
happen?
Predictive analytics
and modeling
What action
should I take?
Decision
management
What is
happening?
Discovery and
exploration
Why did it
happen?
Reporting, analysis,
content analytics
Cognitive
Fabric
16. • Capturing any type of information, fast/slow, big/small, structured,
unstructured, text/images etc
• The ability to visualise, report. predict and action
BUT to make this a reality we need to apply:
• Retained auditability/integrity
• Flexible Access
• Appropriate security
• Single view of an entity
• Just Enough Governance,
• Just enough modelling,
• Automation
• Avoiding re-engineering,
New Tools & Methods are providing new capabilities to:
17. • Seamlessly allow SQL and noSQL data integration
• Only 3 ELT patterns to load ALL data into a warehouse
• Avoids all re-engineering
• Enables full automation of changes into data warehouse
• Enables true agile reporting and analytics
• Specific constructs to deal with business rules
• Retains auditability and security
• Linear scaling in process and development
Methods like DV that:
18. Operational Data Store
Bring data together
in real time.
Create an alternative
to querying operational
databases.
Make operational data easier
to access and use.
Time Machine
Go back to any point in time
and re-run a query.
Troubleshoot old decisions
made on old report.
Analyse change over time.
Semantic Layer
Store data so that reporting
and analytic tools can use it.
Model and name information
so it can be understood
and used safely.
19. Querying a Vault
Product Customer Location
Hub
Product
Hub
Customer
Hub
Location
Product
to
Customer
Customer
to
Location
Current Project + Section + Item
Time Machine Project + Section + Item
Filter on End Date
= High Date
Between
Date Filter
20. IBM Analytics Campus
Information integration and governance
New/Enhanced
Applications
All Data
Information Integration and Governance
Information Governance and compliance reporting
Data
Quality
Entity
Management
Information
Lifecycle
Management
Information
Integration
On-Premises, As-A-Service (IBM DataWorks)
and Cloud (SoftLayer)
Unlocks key insights, by providing trust and comprehensive view
22. IBM Analytics Campus
Certus Data Quality Framework
Implementing a Total Information Quality Management System across People,
Processes and Tools to create a continuous data quality improvement culture.
23. Data Quality Management is Essential
Pass Fail rate Potential Cost of Failures Cost to fix errors
Errors by
data domain
and quality
category
Errors by
criticality
24. A Stewardship Function is Essential
Business Process Management
for manual and automated
workflows required to implement
information governance and
manage data quality.
25. Governance can be justified by efficiency and avoiding rework but looking at the
impact of the cost of data quality is better.
Single entity view is boring plumbing that no one wants to do but if you look at what
you can achieve with a true single view of customer/patient/asset/product the effort
is worth it and the payoffs immense.
A Data Warehouse refresh is painful process and has a poor history however to
take advantage of new opportunities, markets or ways of doing business you need
to embrace more information. The justification for the effort is helped by the fact that
the new DW should be flexible to cater for a huge number of uses, automated so
maintenance is minimal, and designed to last and cost a fraction of what was spent
on the legacy DW.
So back to the business case:
26. 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.