Orbyfy’s Fabric+ is the data fabric for the Metaverse, providing a unified data network, simplified data management, built-in data
integration, self-service, centralized data store, and federated governance. Integrated data management for the generative AI revolution & more.
How the Modern Data Center Extends Across Remote Locations Due to Automation ...Dana Gardner
A discussion on how new demands from the industrial edge, 5G networks, and hybrid deployment models will lead to more diverse types of data centers in more places.
In the Dark? Understanding Big Data & AI: Talent Acquisition Strategies for 2018Yoh Staffing Solutions
Big Data and AI have changed the way companies acquire people. Is your organization one of them? Shed some light on this innovation with these valuable tips and gain a better understanding of the implications Big Data and AI can have on your talent acquisition strategy.
Top 10 guidelines for deploying modern data architecture for the data driven ...LindaWatson19
Enterprises are facing a new revolution, powered by the rapid adoption of data analytics with modern technologies like machine learning and artificial intelligence (A).
How the Modern Data Center Extends Across Remote Locations Due to Automation ...Dana Gardner
A discussion on how new demands from the industrial edge, 5G networks, and hybrid deployment models will lead to more diverse types of data centers in more places.
In the Dark? Understanding Big Data & AI: Talent Acquisition Strategies for 2018Yoh Staffing Solutions
Big Data and AI have changed the way companies acquire people. Is your organization one of them? Shed some light on this innovation with these valuable tips and gain a better understanding of the implications Big Data and AI can have on your talent acquisition strategy.
Top 10 guidelines for deploying modern data architecture for the data driven ...LindaWatson19
Enterprises are facing a new revolution, powered by the rapid adoption of data analytics with modern technologies like machine learning and artificial intelligence (A).
A knowledge graph is a type of data representation that utilizes a network of interconnected nodes to represent real-world entities and the relationships between them. This makes it an ideal tool for data discovery, compliance, and governance tasks, as it allows users to easily navigate and understand complex data sets.
In this webinar, we will demystify knowledge graphs and explore their various applications in data discovery, compliance, and governance. We will begin by discussing the basics of knowledge graphs and how they differ from other data representation methods. Next, we will delve into specific use cases for knowledge graphs in data discovery, such as for exploring and understanding large and complex datasets or for identifying hidden patterns and relationships in data.
We will also discuss how knowledge graphs can be used in compliance and governance tasks, such as for tracking changes to data over time or for auditing data to ensure compliance with regulations. Throughout the webinar, we will provide practical examples and case studies to illustrate the benefits of using knowledge graphs in these contexts.
Finally, we will cover best practices for implementing and maintaining a knowledge graph, including tips for choosing the right technology and data sources, and strategies for ensuring the accuracy and reliability of the data within the graph.
Overall, this webinar will provide an executive level overview of knowledge graphs and their applications in data discovery, compliance, and governance, and will equip attendees with the tools and knowledge they need to successfully implement and utilize knowledge graphs in their own organizations.
*Thanks to ChatGPT for help writing this abstract.
Project 3 – Hollywood and IT· Find 10 incidents of Hollywood p.docxstilliegeorgiana
Project 3 – Hollywood and IT
· Find 10 incidents of Hollywood portraying IT security incorrectly
· You can use movies or TV episodes
· Write 2-5 paragraphs for each incident. Use supporting citations for each part.
· What has Hollywood portrayed wrong? Describe the scene and what is being shown. Make sure to state whether it is partially wrong or totally fictitious.
· How would you protect/secure against what they show (answers might include install firewall, load Antivirus etc.)
· Use APA formatting for your sources on everything.
· Make sure to put your name on assignment.
Big Data and Social Media
Colgate Palmolive
Agenda Of socail media use
Buisness intellegence and Social media concenpts
Intellegent organization
Data Anaylysis and Data trustworthiness
Conclusion
Buisness intellegence and Social media concenpts
No-Hassle Documentation
Gain Trusted Followers
Spy on Competition
Learn Customer Demographics
Research and Analyze Events
Advertise More Accurately
Intellegent organization
They consistently use (big) data proactively
They know exactly where they want to go: all-round vision
They continuously discuss business matters: alignment
They talk to each other regarding positive and negative performance
They know their customers through and through
They think and work in an agile way
Data Anaylysis and Data trustworthiness
Data completeness and accuracy
Data credibility
Data consistency
Data processing and algorithms
Data Validity
Conclusion
How Colgate benefit from Big Data and Social Media
Social media increases sales and customers
Big data shows popular trends and popular companies
All around they are both beneficial
Big Data can find trends that can benefit you greatly
Criteria
Title Page:
Name, Contact info, title of Presentation
Slide 1
Adenda : Topic you going to cover in order
Slide 2
Discuss how big data, social media concepts and knowledge to successfully create business intellegence (Support your bullets points with data, analysis, charts)
Slide 3
Describe how big data can be used to build an intelligent organization
Slide 4
Discuss the importance of data source trustworthiness and data analysis
Slide 5
Conclusion
Slide 6
Big Data And Business Intelligence
Business Value With Big Data
For business to survive in a competitive environment, organizational change requires improved governance, sponsorship, processes, and controls, in addition to new skill sets and technology all work in harmony to deliver the benefits of big data. See Fig. 13.2
Data science has taken the business world by storm. Every field of study and area of business has been affected as companies realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de fac to programming language for data science. Its flexibility, power, sophistication, and expressiveness have ma ...
Orbyfy’s Fabric+ is the data fabric for the Metaverse, providing a unified data network, simplified data management, built-in data
integration, self-service, centralized data store,
and federated governance. Integrated data management for the generative AI revolution & more.
The 4 Biggest Trends In Big Data and Analytics Right For 2021Bernard Marr
Big Data is a term that’s come to be used to describe the technology and practice of working with data that’s not only large in volume but also fast and comes in many different forms. For every Elon Musk with a self-driving car to sell, or Jeff Bezos with a cashier-less convenience store, there is a sophisticated Big Data operation and an army of clever data scientists who’ve turned a vision into reality.
Beginning to understand the world of data demands the evolution of procedures and skillsets in tune with the rewarding trends. As the excerpts from the Fortune Business Insight article state; the market for data analytics is estimated to expand by 25% between 2021-2030. Data scientists are predicted to leverage the highest possible benefits for industries such as banking, finance, insurance, entertainment, telecommunication, automobile, etc.
Pace up with the fastest-evolving industries of all time. Make informed decisions in the world of Data Science by mastering the emerging trends in diversified realms of data. Bring in the change with the following Data Science trends set in place in time:
1. Blockchain technology
2. Natural Language Processing
3. Internet of Things
4. Auto Machine Learning
5. Immersive experiences
6. Robotic Process Automation
7. TinyML and Small Data
8. AI-powered Virtual Assistants
9. Graph Analytics
10. Cloyd computing
11. Image processing
12. Data Visualization
13. Augmented Analytics
14. Predictive Analytics
15. Scalable Artificial Intelligence
As is evident, there will be more data in the coming years. This is a clear indication of an escalated need for staying upbeat with the proposed data science industry trends for years to follow. Make the most of the opportunity by enrolling with top-ranking data science certifications from globally renowned data credentials providers.
Download your copy & boost your chances at landing your dream Data Science Jobs with USDSI®
Big Data 101 - Creating Real Value from the Data Lifecycle - Happiest Mindshappiestmindstech
The big impact of Big Data in the post-modern world is
unquestionable, un-ignorable and unstoppable today.
While there are certain discussions around Big Data being
really big, here to stay or just an over hyped fad; there are
facts as shared in the following sections of this whitepaper
that validate one thing - there is no knowing of the limits
and dimensions that data in the digital world can assume.
This talk is an introduction to Data Science. It explains Data Science from two perspectives - as a profession and as a descipline. While covering the benefits of Data Science for business, It explaints how to get started for embracing data science in business.
4 Critical Requirements for Building Truly Intelligent AI ModelsInnodata, Inc
Did you know 85% of AI projects will fail because of a lack of training data?
Before investing time and money in machine learning, discover 4 critical requirements every company needs to employ in order to build effective machine learning applications and bring intelligence to artificial intelligence.
“Imagine, you could drive your new, fancy car, and the mechanic looks after everything else, including refuelling, repairs, and maintenance.”
With our smooth and timely full-service handling of databases, operating systems, and network configurations we ensure that you can enjoy the advantages of HPE Vertica for your business at any time.
Talk to our experts and learn about our simple way into big data.
Simply start.
Top 10 tredning technologies to learn in 2021Lokesh Agarwal
In this world of digitalization, technologies are expanding rapidly. As the world foremost tech news contributor, it is the duty of us to keep everyone updated with the newest trends of the top 10 trending technologies in 2021. Technology and programming language are so important in day to day lifestyle to make the livelihood more facile. These computer scientists and professionals are regularly making the bests out of anything. Technology has taken a face of more productiveness and give the best to the nation. In the present scenario, everything is done through the technical process, you don’t have to bother about doing work, everything will be done automatically. In this article, some important technologies which are new in the market are explained according to the career preferences. So let’s have a look into the top 10 trending technologies in2021 and its impression in the coming future.
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.
A knowledge graph is a type of data representation that utilizes a network of interconnected nodes to represent real-world entities and the relationships between them. This makes it an ideal tool for data discovery, compliance, and governance tasks, as it allows users to easily navigate and understand complex data sets.
In this webinar, we will demystify knowledge graphs and explore their various applications in data discovery, compliance, and governance. We will begin by discussing the basics of knowledge graphs and how they differ from other data representation methods. Next, we will delve into specific use cases for knowledge graphs in data discovery, such as for exploring and understanding large and complex datasets or for identifying hidden patterns and relationships in data.
We will also discuss how knowledge graphs can be used in compliance and governance tasks, such as for tracking changes to data over time or for auditing data to ensure compliance with regulations. Throughout the webinar, we will provide practical examples and case studies to illustrate the benefits of using knowledge graphs in these contexts.
Finally, we will cover best practices for implementing and maintaining a knowledge graph, including tips for choosing the right technology and data sources, and strategies for ensuring the accuracy and reliability of the data within the graph.
Overall, this webinar will provide an executive level overview of knowledge graphs and their applications in data discovery, compliance, and governance, and will equip attendees with the tools and knowledge they need to successfully implement and utilize knowledge graphs in their own organizations.
*Thanks to ChatGPT for help writing this abstract.
Project 3 – Hollywood and IT· Find 10 incidents of Hollywood p.docxstilliegeorgiana
Project 3 – Hollywood and IT
· Find 10 incidents of Hollywood portraying IT security incorrectly
· You can use movies or TV episodes
· Write 2-5 paragraphs for each incident. Use supporting citations for each part.
· What has Hollywood portrayed wrong? Describe the scene and what is being shown. Make sure to state whether it is partially wrong or totally fictitious.
· How would you protect/secure against what they show (answers might include install firewall, load Antivirus etc.)
· Use APA formatting for your sources on everything.
· Make sure to put your name on assignment.
Big Data and Social Media
Colgate Palmolive
Agenda Of socail media use
Buisness intellegence and Social media concenpts
Intellegent organization
Data Anaylysis and Data trustworthiness
Conclusion
Buisness intellegence and Social media concenpts
No-Hassle Documentation
Gain Trusted Followers
Spy on Competition
Learn Customer Demographics
Research and Analyze Events
Advertise More Accurately
Intellegent organization
They consistently use (big) data proactively
They know exactly where they want to go: all-round vision
They continuously discuss business matters: alignment
They talk to each other regarding positive and negative performance
They know their customers through and through
They think and work in an agile way
Data Anaylysis and Data trustworthiness
Data completeness and accuracy
Data credibility
Data consistency
Data processing and algorithms
Data Validity
Conclusion
How Colgate benefit from Big Data and Social Media
Social media increases sales and customers
Big data shows popular trends and popular companies
All around they are both beneficial
Big Data can find trends that can benefit you greatly
Criteria
Title Page:
Name, Contact info, title of Presentation
Slide 1
Adenda : Topic you going to cover in order
Slide 2
Discuss how big data, social media concepts and knowledge to successfully create business intellegence (Support your bullets points with data, analysis, charts)
Slide 3
Describe how big data can be used to build an intelligent organization
Slide 4
Discuss the importance of data source trustworthiness and data analysis
Slide 5
Conclusion
Slide 6
Big Data And Business Intelligence
Business Value With Big Data
For business to survive in a competitive environment, organizational change requires improved governance, sponsorship, processes, and controls, in addition to new skill sets and technology all work in harmony to deliver the benefits of big data. See Fig. 13.2
Data science has taken the business world by storm. Every field of study and area of business has been affected as companies realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de fac to programming language for data science. Its flexibility, power, sophistication, and expressiveness have ma ...
Orbyfy’s Fabric+ is the data fabric for the Metaverse, providing a unified data network, simplified data management, built-in data
integration, self-service, centralized data store,
and federated governance. Integrated data management for the generative AI revolution & more.
The 4 Biggest Trends In Big Data and Analytics Right For 2021Bernard Marr
Big Data is a term that’s come to be used to describe the technology and practice of working with data that’s not only large in volume but also fast and comes in many different forms. For every Elon Musk with a self-driving car to sell, or Jeff Bezos with a cashier-less convenience store, there is a sophisticated Big Data operation and an army of clever data scientists who’ve turned a vision into reality.
Beginning to understand the world of data demands the evolution of procedures and skillsets in tune with the rewarding trends. As the excerpts from the Fortune Business Insight article state; the market for data analytics is estimated to expand by 25% between 2021-2030. Data scientists are predicted to leverage the highest possible benefits for industries such as banking, finance, insurance, entertainment, telecommunication, automobile, etc.
Pace up with the fastest-evolving industries of all time. Make informed decisions in the world of Data Science by mastering the emerging trends in diversified realms of data. Bring in the change with the following Data Science trends set in place in time:
1. Blockchain technology
2. Natural Language Processing
3. Internet of Things
4. Auto Machine Learning
5. Immersive experiences
6. Robotic Process Automation
7. TinyML and Small Data
8. AI-powered Virtual Assistants
9. Graph Analytics
10. Cloyd computing
11. Image processing
12. Data Visualization
13. Augmented Analytics
14. Predictive Analytics
15. Scalable Artificial Intelligence
As is evident, there will be more data in the coming years. This is a clear indication of an escalated need for staying upbeat with the proposed data science industry trends for years to follow. Make the most of the opportunity by enrolling with top-ranking data science certifications from globally renowned data credentials providers.
Download your copy & boost your chances at landing your dream Data Science Jobs with USDSI®
Big Data 101 - Creating Real Value from the Data Lifecycle - Happiest Mindshappiestmindstech
The big impact of Big Data in the post-modern world is
unquestionable, un-ignorable and unstoppable today.
While there are certain discussions around Big Data being
really big, here to stay or just an over hyped fad; there are
facts as shared in the following sections of this whitepaper
that validate one thing - there is no knowing of the limits
and dimensions that data in the digital world can assume.
This talk is an introduction to Data Science. It explains Data Science from two perspectives - as a profession and as a descipline. While covering the benefits of Data Science for business, It explaints how to get started for embracing data science in business.
4 Critical Requirements for Building Truly Intelligent AI ModelsInnodata, Inc
Did you know 85% of AI projects will fail because of a lack of training data?
Before investing time and money in machine learning, discover 4 critical requirements every company needs to employ in order to build effective machine learning applications and bring intelligence to artificial intelligence.
“Imagine, you could drive your new, fancy car, and the mechanic looks after everything else, including refuelling, repairs, and maintenance.”
With our smooth and timely full-service handling of databases, operating systems, and network configurations we ensure that you can enjoy the advantages of HPE Vertica for your business at any time.
Talk to our experts and learn about our simple way into big data.
Simply start.
Top 10 tredning technologies to learn in 2021Lokesh Agarwal
In this world of digitalization, technologies are expanding rapidly. As the world foremost tech news contributor, it is the duty of us to keep everyone updated with the newest trends of the top 10 trending technologies in 2021. Technology and programming language are so important in day to day lifestyle to make the livelihood more facile. These computer scientists and professionals are regularly making the bests out of anything. Technology has taken a face of more productiveness and give the best to the nation. In the present scenario, everything is done through the technical process, you don’t have to bother about doing work, everything will be done automatically. In this article, some important technologies which are new in the market are explained according to the career preferences. So let’s have a look into the top 10 trending technologies in2021 and its impression in the coming future.
Similar to Orbyfy Overview - Solutions_vF_x.pdf (20)
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.
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.
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/
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.
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.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
2. Copyright Orbyfy
Orbyfy's Fabric+
Orbyfy’s Fabric+ is the data fabric for the
Metaverse, providing a unified data network,
simplified data management, built-in data
integration, self-service, centralized data store,
and federated governance. Integrated data
management for the generative AI revolution
& more.
Harness the 70% of data that you never use.
Connect. Orbyfy.com
Integrate for the last time.
Couple the enterprise with generative AI.
TM
1
3. Copyright Orbyfy
Connect. Orbyfy.com
TM
Orbyfy's Fabric+
Business Intelligence Engine
Data science to decision science.
Connected, contextualized, and networked data.
Queryless business intelligence.
Directly question the data fabric.
Removing analytics barriers from decision insights.
Subject Matter Experts to Exbots
Static knowledge-base to dynamic knowledge-fabric.
Find-and-seek to ask-and-know in intuitive query format.
Capture and transcribe expertise on a universal fabric.
Enterprise self-service multi-domain know-how.
Data catalog, data dictionary, data browser.
Chatbots & AI
360° customer profile data across all enterprise systems
capturing current and past interactions.
Connected customer insights by query of data fabric.
Customer journey built-to-suit apps at light speed.
ChatGPT-ready enterprise customer-centric data fabric.
Metaverse AR/VR-ready connected customer 360° data
for personalized immersion.
+
Fabric+ ChatGPT
BusIE
Exbots
Our co-development incubation hub.
We are creating new bridges between technology and people
interactions. For the greater good.
2
4. BusIE
Copyright Orbyfy
Connect. Orbyfy.com
TM
Orbyfy's Fabric+
Business Intelligence Engine
In the connected Metaverse, you no longer have to be
a data scientist, you don’t even have to be a data
analyst, all you have to do is ask thoughtful questions
and receive thoughtful responses based on
connected, contextualized, and networked data
powered by Orbyfy’s Fabric+ with ChatGPT.
Solution
We are eclipsed by data we don't even know how to use.
We don't have the available manpower to make sense of it.
We are now on a trajectory towards the full democratization
of data and analytics.
+
+
+
Size of the problem
People are evolving, jobs are evolving, skillsets are changing, and business
intelligence functions will transform to natural language based querying.
A moderately complex query performed by a data analyst costs an
estimated $900-$1300 each (fully burdened - 2 days timeline for
turnaround). *Assuming multiple connected data sets required.
A complex analytics study performed by a data scientist costs an
estimated $20,000 per project (fully burdened - 30 days timeline for
turnaround). *Assuming multiple connected data sets required.
While most data analytics and data scientist professionals prefer to
work in technology sectors, the average size of a data science
organization in the industrial, energy, manufacturing, transportation,
etc, for the Fortune 500, range between 50 to 200 people - equating
to $10M to $40M in annual data analytics practice budgets.
70% of enterprise data never gets used to power AI or generate any
insights needed for key decision-making.
By 2025, more than 150 ZetaBytes of big data will need analysis.
By 2026, 28% growth in data science; 2.7M unfilled jobs for data
scientists.
3
5. Copyright Orbyfy
Connect. Orbyfy.com
TM
Orbyfy's Fabric+
In the worlds of marketing, strategy, engineering, customer service and more
- much of the time, the role of business users is to ask thoughtful questions
to direct decisions. Questions like: “Where does a certain customer segment
live?”, “What variables impact shipping volumes?”, “What is the best time of
day to release a targeted social campaign?”, etc.
And in most organizations, data analysts, or data engineers, or business
intelligence users, or IT then prioritizes these requests involving asking
questions of data. And they do this by querying data in various means.
Most of the time, these are generally rudimentary queries (certainly nothing
fancy like machine learning or utilizing advanced neural network algorithms).
They invoke answers from data by running queries on data in a database
using SQL coding. And much of the world interacts with data by running
queries on singular databases - in effect, asking questions to a data silo in an
effort to get thoughtful insights to direct decisions.
But in the real world data intersects systems and platforms, like a CRM, an
ERP system, operational data, asset management systems, etc. If you want
to ask questions of interlinked or connect data, then you need to start
building SQL joins - joining databases together.
All of this takes a lot of time and energy. It also requires the need to know
code. In the realm of an organization, the data analysts or engineers who
know SQL querying that perform these functions are also typically one step
removed (IT, Data Science) from the business users that have the thoughtful
questions in the first place. This puts internal organizational frictions of asking
questions and receiving thoughtful responses, as well as a time-lag to results.
Deep dive
Business Intelligence Engine
Solution
4
6. Copyright Orbyfy
Connect. Orbyfy.com
TM
Orbyfy's Fabric+
Business Intelligence Engine
Solution
tA lot is being done to democratize data analytics to put it in the hands of
business users, but the data integration, data management, and data
connectivity piece is still not solved for.
Deep dive
But now imagine the real future, where you do not have to code, you
do not even need to know so-called “low-code”, you ask intelligent
questions in normal sentences, and receive (in seconds) responses in
normal sentences - based on all enterprise data that is available,
connected, contextualized, networked. A game changing proposition
that forms the real democratization of data science and analytics -
powered by Orbyfy’s Fabric+ with ChatGPT.
Overview
+
Fabric+ ChatGPT
Data science to decision science.
Connected, contextualized, and networked data.
Queryless business intelligence.
Directly question the data fabric.
Removing analytics barriers from decision insights.
Benefits
5
7. Copyright Orbyfy
Connect. Orbyfy.com
TM
Orbyfy's Fabric+
Subject Matter Experts to Exbots
Imagine a future where you ask thoughtful questions to
real challenges or to inform real decisions, and you are
met with Exbot whom you can interact with to receive
thoughtful guidance - all backed with the completeness of
the entire data backbone across your enterprise. Move
away from find-and-seek, move into ask-and-know.
Solution
We are facing the biggest skills gap ever and an ever-aging
skilled workforce.
We recognize that much of our knowledge-base is encoded in
our everyday life.
We are now on a trajectory towards the commoditization of
raw intelligence.
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Size of the problem
People are scarce, knowledge is encoded in people, and hiring critical
resources remains a critical challenge in certain industries.
Job position openings requiring critical skill sets and professional
degrees last on average 50 days - losing retained knowledge results in
material impacts.
On average, it costs $115K-$175K every time a critical person leaves
an organization (opportunity costs, lost knowledge & expertise, gap in
continuity) - not to mention $30-$45K in recruitment and training
expenses for new talent.
Numerous studies show that knowledge workers spend roughly 30%
of the day searching and gathering information rather than executing
on actions.
Exbots
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Orbyfy's Fabric+
Experts to Exbots
Solution
The jobs market is seeing unprecedented strain across many dimensions.
We are on the brink of the largest skills gap in a century. Generation Z, the
youngest workers among us, have entirely different ambitions. Raised firmly
in the trenches of social technologies, nearly 50% of them want to own a
business and make sustainable income from content creation and
influencing.
Currently, 30% of current job openings are in STEM fields, yet on average,
only 11% of the US population has a degree in STEM. By 2030, the US is likely
to see 2.1M unfulfilled jobs with a cost of $1T to the economy.
But microscopically, we are seeing the effects everyday. Every company has
critical resources - operations and performance usually rests in a few
capable hands. Most companies try to encode organizational know-how in
static limitedly maintained knowledge-bases based on unconnected data in
sharepoints, raw document repositories, intranets, and wikis. Finding useful
information takes time, energy, sifting, and sorting. Most knowledge-bases
do not tap into raw enterprise data, they tap into a limited subset of user-
generated content, instructions, steps, procedures, and more.
Trends towards self-service means 40% of business users would prefer self-
service over human-centric contact, and 90% would use a knowledge-base
if it were available and tailored to their needs.
So what’s missing in this landscape? Purely and simply, the ease of
connected data.
Deep dive
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TM
Orbyfy's Fabric+
Experts to Exbots
Solution
Imagine a future where you ask thoughtful questions to real challenges or to
inform real decisions, and you are met with Exbot whom you can interact
with to receive thoughtful guidance - all backed with the completeness of the
entire data backbone across your enterprise. Move away from find-and-
seek, move into ask-and-know.
In the connected Metaverse, you no longer have to be a Subject Matter
Expert, you don’t even have to be a Specialist, all you have to do is ask
thoughtful questions and be provided with tailored guidance and customer
experience from datasets encoded from your organization, company, team,
or social network - powered by Orbyfy’s Fabric+ with ChatGPT. From
Experts to Exbots.
Overview
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Fabric+ ChatGPT
Static knowledge-base to dynamic knowledge-fabric.
Find-and-seek to ask-and-know in intuitive query format.
Capture and transcribe expertise on a universal fabric.
Enterprise self-service multi-domain know-how.
Data catalog, data dictionary, data browser.
Benefits
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Orbyfy's Fabric+
Chatbots & AI
Orbyfy’s Fabric+ connected to Customer 360°-data
creates individualized insights, personalized
recommendations, customized feedback, and tailored
trouble-shooting or problem-resolution chains - all
backed by a linked profile of each-and-every customer,
across each-and-every interaction.
Solution
We want legendary people-centric customer experiences.
We want seamless interactions, not just questions and answers.
We are moving from customer service to customer
experience to customer immersion (CS to CX to CI).
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Size of the problem
People are scarce, knowledge is encoded in people, and hiring critical
resources remains a critical challenge in certain industries.
1.4B people are using chatbots and by 2027 chatbots will become
the primary customer service channel for roughly a quarter of
organizations.
While 70% of customers have interacted with a chatbot in the past
12 months, 80% said chatbots increased their frustration level.
Nearly 90% of buyers are willing to pay more for great customer
experience & 30% of customers will walk away from a company
after a single bad experience.
ChAI
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TM
Orbyfy's Fabric+
Chatbots & AI
Solution
Experience is everything - today, every brand is a digital brand. This means
that the way users interact with brands is more complex than ever — there
are more channels, touchpoints and opportunities to connect than most
companies can keep up with. Beyond customer experience, customer
immersion requires revisiting expectations - customers expect service at
every “now” (instant & around-the-clock service).
While these new, more nuanced ways of interacting with users are exciting,
they’re also a challenge for the developers tasked with maintaining the
complex underlying code and connecting customer data together in all its
forms.
And when that code gets too complicated, bugs emerge, leading users to
encounter errors, hard to navigate experiences and other headaches that
can send their business or engagement elsewhere. At the same time, these
overwhelmed developers are facing pressure to deliver more features faster
— often forcing them to choose between speed and quality. At that point,
user experience suffers, leading to unhappy users and unsuccessful brands.
So how does an organization traverse from customer service to customer
experience to customer immersion? Customer 360°.
The concept of Customer 360° refers to a holistic approach to
understanding and engaging with customers that allows organizations to
create exceptional customer experiences. It involves gathering and analyzing
customer data from multiple sources, including customer interactions,
purchases, and feedback, to create a comprehensive profile of each
customer.
Deep dive
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12. Chatbots & AI
Copyright Orbyfy
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TM
Orbyfy's Fabric+
Solution
By creating a 360°-degree view of the customer, organizations can better
understand their needs, preferences, and behaviors. This allows them to
tailor their products, services, and communication to better meet the needs
of individual customers, leading to higher customer satisfaction, loyalty, and
retention.
To implement a Customer 360° approach, organizations typically use a
variety of tools and technologies, such as customer relationship
management (CRM) systems, social media monitoring tools, and data
analytics platforms. By combining these tools with a customer-centric culture
and a commitment to ongoing improvement, organizations can deliver
exceptional customer experiences that set them apart from the competition.
Deep dive
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13. Chatbots & AI
Copyright Orbyfy
Connect. Orbyfy.com
TM
Orbyfy's Fabric+
Solution
Consider a future where you can connect customer data at the speed-of-
light across an enterprise, integrated, contextualized, and networked data
fabric architecture to bring legendary customer immersion to life. Orbyfy’s
Fabric+ connected to Customer 360°-data creates individualized insights,
personalized recommendations, customized feedback, and tailored trouble-
shooting or problem-resolution chains - all backed by a linked profile of each-
and-every customer, across each-and-every interaction.
Overview
360° customer profile data across all enterprise systems capturing
current and past interactions.
Connected customer insights by simple query of data fabric.
Customer journey built-to-suit applications created at light speed.
ChatGPT-ready enterprise customer-centric data fabric.
Metaverse AR/VR-ready connected customer 360° data for
personalized immersion.
Benefits
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14. 51.2 million customers and $5.2T assets
in financial services
Engineering new technologies in risk,
analytics & financial insights for 180+ years
Worldwide retail brands with 400+
locations and $1B+ in revenues
Copyright Orbyfy
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TM
Orbyfy's Fabric+
Customers benefiting
Commercial real estate management
across 65+ countries and 400 offices
40M+ mobile telecom customers across
APAC delivering the best 5G experience
Saved $1.5M on their first project
Delivered a digital loan solution in 5 days
Now have 1/3 of the organization connected daily
Other customer stories
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