This presentation was given at Legal Geek on 10th Dec 2015. It is a scenesetting peice that looks to de-mystify artificial intelligence by looking beyond the hype.
Susskind, 'A Manifesto for AI in the Law' ICAIL 2017, London, 2017Richard Susskind
Keynote address at the 16th International Conference on Artificial Intelligence and Law, June, London, including 15-point manifesto for the AI/Law research community.
What are Cognitive Applications? What is exciting about them? They represent a whole new way of human computer interaction and acting on data insights. Introducing IBM Watson and how to develop Cognitive applications. AI, Machine Learning compared and contrasted.
Susskind, 'A Manifesto for AI in the Law' ICAIL 2017, London, 2017Richard Susskind
Keynote address at the 16th International Conference on Artificial Intelligence and Law, June, London, including 15-point manifesto for the AI/Law research community.
What are Cognitive Applications? What is exciting about them? They represent a whole new way of human computer interaction and acting on data insights. Introducing IBM Watson and how to develop Cognitive applications. AI, Machine Learning compared and contrasted.
The slide has details on below points:
1. Introduction to Machine Learning
2. What are the challenges in acceptance of Machine Learning in Banks
3. How to overcome the challenges in adoption of Machine Learning in Banks
4. How to find new use cases of Machine Learning
5. Few current interesting use cases of Machine Learning
Please contact me (shekup@gmail.com) or connect with me on LinkedIn (https://www.linkedin.com/in/shekup/) for more explanation on ML and how it may help your business.
The slides are inspired by:
Survey & interviews done by me with Bankers & Technology Professionals
Presentation from Google NEXT 2017
Presentation by DATUM on Youtube
Royal Society Machine Learning
Big Data & Social Analytics Course from MIT & GetSmarter
A quick guide to artificial intelligence working - TechaheadJatin Sapra
It is already on its way to achieving so as it has empowered the mobile app development agencies to build what was once assumed impossible. Despite this, much of this field remains undiscovered.
Deloitte's report and point of view on IBM's Watson. IBM Watson, AI, Cognitive Computing are rapidly evolving technologies that can support and enhance enterprise solutions. Learn about IBM Watson the Why? and the How?
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.
Introduction to artificial intelligence and lawLawScienceTech
Presentation at Seminar on Artificial Intelligence and Law (15/03/2018) at the Norwegian Research Center for Computers and Law (NRCCL), University of Oslo
SmartData Webinar: Commercial Cognitive Computing -- How to choose and build ...DATAVERSITY
In the next five years, consumers and businesses will begin to demand more intelligence from the applications they use as they are exposed to smarter, more personalized systems in a variety of industries. Ranging from natural language tools to interact more naturally with users, to machine learning algorithms that discover untapped patterns and relationships in big data, the potential for these technologies is great but most firms don't have a roadmap for building their first cognitive computing solution. This webinar will help participants discover:
- What is cognitive computing(CC), and what can it do for my business?
- Which of my current applications would benefit from CC technologies?
- What new applications could we develop to disrupt our industry using CC?
- How do we know which CC vendors, products and services are really ready for prime-time?
- What are our competitors doing about it?
- How do we get started?
Artificial Intelligence in Project Management by Dr. Khaled A. HamdyAgile ME
Video recording of the Dr. Khaled's session can be found at https://youtu.be/TFNhvAXNU5E.
The presentation explores how Artificial Intelligence (AI) can be used in the Project Management field. The origins and history of AI are discussed followed by a brief simplified explanation of the theories behind its application. The actual utilization of AI tools in the Project Management domain is discussed covering diverse areas such as Engineering Design, Cost Estimating and Bidding, Planning and Scheduling, Risk Management, Performance Prediction as well as Project Monitoring and Control. The presentation concludes by a brief discussion about Data Management and Knowledge Engineering and how they are used today to simplify (or complicate) our lives.
Learning from Machine Intelligence: The Next Wave of Digital TransformationOrange Silicon Valley
This report from Orange Silicon Valley looks at the growing importance of machine learning and artificial intelligence as it relates to the changing digital landscape. Highlights include software's evolution in being used to apply context and probability in autonomous decision-making efforts, the growing use by machine intelligence in Big Data, and how enterprises are experimenting with the technology to enhance their value chain and scale at incredible speed.
Machine learning and ai in a brave new cloud worldUlf Mattsson
Machine learning platforms are one of the fastest growing services of the public cloud. ML, an approach and set of technologies that use Artificial Intelligence (AI) concepts, is directly related to pattern recognition and computational learning. Early adopters of AI have now rolled out cloud-based services that are bringing AI to the masses.
How are AI, deep learning, machine learning, big data, and cloud related? Can machine learning algorithms enable the use of an individual’s comprehensive biological information to predict or diagnose diseases, and to find or develop the best therapy for that individual? How is Quantum Computing in the Cloud related to the use of AI and Cybersecurity?
Join this webinar to learn more about:
- Machine Learning, Data Discovery and Cloud
- Cloud-Based ML Applications and ML services from AWS and Google Cloud
- How to Automate Machine Learning
Smart Data Slides: Modern AI and Cognitive Computing - Boundaries and Opportu...DATAVERSITY
We will kickoff the 2017 series with an overview of the current state of commercial artificial intelligence (AI) and cognitive computing. The research and commercial communities are far from consensus on a few important definitions, so we will start with two that are critical to our understanding and analysis.
#ModernAI applies research from computer science, psychology, mathematics, linguistics and neuroscience to develop problem-solving applications that supplant or augment human intellectual performance. Unlike more traditional AI R&D, #ModernAI typically leverages machine learning and big data.
Cognitive computing is a problem-solving approach based on #ModernAI that focuses on processes for understanding, reasoning, learning and planning.
In this webinar, we will present a framework for analyzing modern AI/cognitive computing tools and technologies, with an emphasis on the risks and reward of adopting them at varying stages of maturity.
How blockchain and artificial intelligence/machine learning technologies can synergically enhance each other and why blockchain is critical for the future AI evolvement. Report from iforum.ua conference in 2017 by Dr Maxim Orlovsky, BICA Labs
Impact of Artificial Intelligence/Machine Learning on Workforce CapabilityLearningCafe
The application of AI/ML is reshaping the job market and will eventually create new jobs & roles that we can’t even imagine today. Reskilling the workforce and reforming learning and career models will play a critical role in facilitating this change. The question remains if that will be provided by the traditional internal HR/L&D team or some other model.
How cognitive computing is transforming HR and the employee experienceRichard McColl
As a co-sponsor of a recently published IBM Institute of Business Value (IBV) I was pleased to see the insights support our own IBM HR strategy of aligning cognitive solutions to cloud platforms to create fantastic experiences for our IBM'ers.
A primer on Blockchain, Semantic Web and Ricardian Contracts.
Semantic Blockchain is a proposal where the Semantic Web meets the Blockchain. Combining these two technologies could provide the Semantic web with a transparent proof of work and trust mechanism while conversely disambiguating data stored on the blockchain, solving one of the key challenges with Riccardian/Smart contracts. This presentation will explore how these two technologies might be combine using the example of a smart contract. However the potential application is much bigger and could provide a key back bone underlying the Internet of Things.
Strategies for integrating semantic and blockchain technologiesHéctor Ugarte
Semantic Blockchain is the use of Semantic web standards on blockchain based systems. The standards promote common data formats and exchange protocols on the blockchain, making used of the Resource Description Framework (RDF).
Ontology BLONDiE for Bitcoin and Ethereum.
Research how to extract data from Ethereum.
Research how to store RDF data on Ethereum.
Prototype DeSCA: Ethereum application.
The slide has details on below points:
1. Introduction to Machine Learning
2. What are the challenges in acceptance of Machine Learning in Banks
3. How to overcome the challenges in adoption of Machine Learning in Banks
4. How to find new use cases of Machine Learning
5. Few current interesting use cases of Machine Learning
Please contact me (shekup@gmail.com) or connect with me on LinkedIn (https://www.linkedin.com/in/shekup/) for more explanation on ML and how it may help your business.
The slides are inspired by:
Survey & interviews done by me with Bankers & Technology Professionals
Presentation from Google NEXT 2017
Presentation by DATUM on Youtube
Royal Society Machine Learning
Big Data & Social Analytics Course from MIT & GetSmarter
A quick guide to artificial intelligence working - TechaheadJatin Sapra
It is already on its way to achieving so as it has empowered the mobile app development agencies to build what was once assumed impossible. Despite this, much of this field remains undiscovered.
Deloitte's report and point of view on IBM's Watson. IBM Watson, AI, Cognitive Computing are rapidly evolving technologies that can support and enhance enterprise solutions. Learn about IBM Watson the Why? and the How?
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.
Introduction to artificial intelligence and lawLawScienceTech
Presentation at Seminar on Artificial Intelligence and Law (15/03/2018) at the Norwegian Research Center for Computers and Law (NRCCL), University of Oslo
SmartData Webinar: Commercial Cognitive Computing -- How to choose and build ...DATAVERSITY
In the next five years, consumers and businesses will begin to demand more intelligence from the applications they use as they are exposed to smarter, more personalized systems in a variety of industries. Ranging from natural language tools to interact more naturally with users, to machine learning algorithms that discover untapped patterns and relationships in big data, the potential for these technologies is great but most firms don't have a roadmap for building their first cognitive computing solution. This webinar will help participants discover:
- What is cognitive computing(CC), and what can it do for my business?
- Which of my current applications would benefit from CC technologies?
- What new applications could we develop to disrupt our industry using CC?
- How do we know which CC vendors, products and services are really ready for prime-time?
- What are our competitors doing about it?
- How do we get started?
Artificial Intelligence in Project Management by Dr. Khaled A. HamdyAgile ME
Video recording of the Dr. Khaled's session can be found at https://youtu.be/TFNhvAXNU5E.
The presentation explores how Artificial Intelligence (AI) can be used in the Project Management field. The origins and history of AI are discussed followed by a brief simplified explanation of the theories behind its application. The actual utilization of AI tools in the Project Management domain is discussed covering diverse areas such as Engineering Design, Cost Estimating and Bidding, Planning and Scheduling, Risk Management, Performance Prediction as well as Project Monitoring and Control. The presentation concludes by a brief discussion about Data Management and Knowledge Engineering and how they are used today to simplify (or complicate) our lives.
Learning from Machine Intelligence: The Next Wave of Digital TransformationOrange Silicon Valley
This report from Orange Silicon Valley looks at the growing importance of machine learning and artificial intelligence as it relates to the changing digital landscape. Highlights include software's evolution in being used to apply context and probability in autonomous decision-making efforts, the growing use by machine intelligence in Big Data, and how enterprises are experimenting with the technology to enhance their value chain and scale at incredible speed.
Machine learning and ai in a brave new cloud worldUlf Mattsson
Machine learning platforms are one of the fastest growing services of the public cloud. ML, an approach and set of technologies that use Artificial Intelligence (AI) concepts, is directly related to pattern recognition and computational learning. Early adopters of AI have now rolled out cloud-based services that are bringing AI to the masses.
How are AI, deep learning, machine learning, big data, and cloud related? Can machine learning algorithms enable the use of an individual’s comprehensive biological information to predict or diagnose diseases, and to find or develop the best therapy for that individual? How is Quantum Computing in the Cloud related to the use of AI and Cybersecurity?
Join this webinar to learn more about:
- Machine Learning, Data Discovery and Cloud
- Cloud-Based ML Applications and ML services from AWS and Google Cloud
- How to Automate Machine Learning
Smart Data Slides: Modern AI and Cognitive Computing - Boundaries and Opportu...DATAVERSITY
We will kickoff the 2017 series with an overview of the current state of commercial artificial intelligence (AI) and cognitive computing. The research and commercial communities are far from consensus on a few important definitions, so we will start with two that are critical to our understanding and analysis.
#ModernAI applies research from computer science, psychology, mathematics, linguistics and neuroscience to develop problem-solving applications that supplant or augment human intellectual performance. Unlike more traditional AI R&D, #ModernAI typically leverages machine learning and big data.
Cognitive computing is a problem-solving approach based on #ModernAI that focuses on processes for understanding, reasoning, learning and planning.
In this webinar, we will present a framework for analyzing modern AI/cognitive computing tools and technologies, with an emphasis on the risks and reward of adopting them at varying stages of maturity.
How blockchain and artificial intelligence/machine learning technologies can synergically enhance each other and why blockchain is critical for the future AI evolvement. Report from iforum.ua conference in 2017 by Dr Maxim Orlovsky, BICA Labs
Impact of Artificial Intelligence/Machine Learning on Workforce CapabilityLearningCafe
The application of AI/ML is reshaping the job market and will eventually create new jobs & roles that we can’t even imagine today. Reskilling the workforce and reforming learning and career models will play a critical role in facilitating this change. The question remains if that will be provided by the traditional internal HR/L&D team or some other model.
How cognitive computing is transforming HR and the employee experienceRichard McColl
As a co-sponsor of a recently published IBM Institute of Business Value (IBV) I was pleased to see the insights support our own IBM HR strategy of aligning cognitive solutions to cloud platforms to create fantastic experiences for our IBM'ers.
A primer on Blockchain, Semantic Web and Ricardian Contracts.
Semantic Blockchain is a proposal where the Semantic Web meets the Blockchain. Combining these two technologies could provide the Semantic web with a transparent proof of work and trust mechanism while conversely disambiguating data stored on the blockchain, solving one of the key challenges with Riccardian/Smart contracts. This presentation will explore how these two technologies might be combine using the example of a smart contract. However the potential application is much bigger and could provide a key back bone underlying the Internet of Things.
Strategies for integrating semantic and blockchain technologiesHéctor Ugarte
Semantic Blockchain is the use of Semantic web standards on blockchain based systems. The standards promote common data formats and exchange protocols on the blockchain, making used of the Resource Description Framework (RDF).
Ontology BLONDiE for Bitcoin and Ethereum.
Research how to extract data from Ethereum.
Research how to store RDF data on Ethereum.
Prototype DeSCA: Ethereum application.
Delivering a Linked Data warehouse and realising the power of graphsBen Gardner
Linklaters is one of the world’s leading global law firms. The firm has a wealth of high value information held within our systems however due to the nature of these systems it is not always easy to leverage this value. Our goal was to improve decision making across the firm by transforming access to and ability to query data. To do this we wanted a solution that would combine our information, was easy to extend in an iterative fashion and would leverage our existing investment in business intelligence. To achieve this we chose to create a graph based warehouse using Linked Data. Data from our SAP Business Warehouse was combined with flat file and XML feeds from our systems of record and transformed into RDF via ETL services that loaded it into a triple store. To provide simple integration with our existing environment a SPARQL to OData service was deployed creating an OData compliant endpoint. Finally a model driven, mobile friendly, user interface was created allowing users to query, review results and explore the underlying graph. This talk will describe the approach we took and the lessons learnt.
We build on past work proposing the use of Linked Pedigrees in a semantic technology framework to propose the use of blockchain technology to solve part of the trust issues in the agri-food supply chain.
Deep Learning - The Past, Present and Future of Artificial IntelligenceLukas Masuch
In the last couple of years, deep learning techniques have transformed the world of artificial intelligence. One by one, the abilities and techniques that humans once imagined were uniquely our own have begun to fall to the onslaught of ever more powerful machines. Deep neural networks are now better than humans at tasks such as face recognition and object recognition. They’ve mastered the ancient game of Go and thrashed the best human players. “The pace of progress in artificial general intelligence is incredible fast” (Elon Musk – CEO Tesla & SpaceX) leading to an AI that “would be either the best or the worst thing ever to happen to humanity” (Stephen Hawking – Physicist).
What sparked this new hype? How is Deep Learning different from previous approaches? Let’s look behind the curtain and unravel the reality. This talk will introduce the core concept of deep learning, explore why Sundar Pichai (CEO Google) recently announced that “machine learning is a core transformative way by which Google is rethinking everything they are doing” and explain why “deep learning is probably one of the most exciting things that is happening in the computer industry“ (Jen-Hsun Huang – CEO NVIDIA).
More than fifteen multinatio- nal companies have opened R&D centres in Russia over the last ten years, benefitting from high-skilled labour force and trading opportunities on the domestic market. More recently political momentum has been getting behind this growing otrend.
This is an intriduction to how Semantic/Linked Data technologies can help solve the challenges of information overload. This presentation is often given in co-junction with 'meet Jessica - Making Connections Matter.
When we think about search there are essentially two activities we wish to perform 1) Search to find a known thing and 2) Search to explore/research around a thing. When we search to find returning hits in a list format works well. However when we want to explore a list is a poor way to visualise the returned hits. This presentation looks at how semantics can be used to develop solutions that allow people to explore information space rather than just search it.
The latest presentation from empathic.Marketing by Andika Dewanto
Need further information:
contact us: hello@empathic.marketing
Website: http://empathic.marketing
Intro to machine learning for web folks @ BlendWebMixLouis Dorard
Get a business understanding of ML by going through key concepts and concrete use cases that illustrate its possibilities for web-based companies.
In this presentation I introduce new technology that makes ML more accessible, and I explain in simple terms the limitations to what can be achieved. Finally, I discuss pragmatic considerations of real-world applications and I give a sneak peak at the Machine Learning Canvas — a framework for describing a predictive system that uses ML to provide value to its end user.
--
L'utilisation du Machine Learning s'est fortement développée ces dernières années, jusqu'à être présent aujourd'hui dans environ la moitié des applications que nous utilisons sur smartphone. Même s'ils n'ont pas connaissance du Machine Learning (ML), les utilisateurs d'applications mobile et web sont devenus demandeurs de fonctionnalités prédictives que le ML rend possibles. Par ailleurs, dans le cadre de l'entreprise, le ML représente un avantage compétitif important qui permet de valoriser ses data en les couplant à une intelligence machine.
Auparavant réservée aux grosses entreprises, cette technologie se démocratise grâce aux nouveaux outils de ML-as-a-Service et aux APIs de prediction. Afin d'en tirer profit, nous verrons ensemble les clés de compréhension du fonctionnement du machine learning, qui sous-tendent ses possibilités et ses limites. Nous verrons également comment amorcer son utilisation dans votre propre projet, au travers du Machine Learning Canvas qui permet de décrire un système où le ML est au cœur de la création de valeur.
We have critically evaluated how AI will shape integration use cases, their feasibility, and timelines. Emerging Technology Analysis Canvas (ETAC), a framework built to analyze emerging technologies, is the methodology of our study.
We observe that AI can significantly impact integration use cases and identify 13 AI-based use case classes for integration. Points to note include:
Enabling AI in an enterprise involves collecting, cleaning up, and creating a single representation of data as well as enforcing decisions and exposing data outside, each of which leads to many integration use cases. Hence, AI indirectly creates demand for integration.
AI needs data, which in some cases lead to significant competitive advantages. The need to collect data would drive vendors to offer most AI products in the cloud through APIs.
Due to lack of expertise and data, custom AI model building will be limited to large organizations. It is hard for small and medium size organization to build and maintain custom models.
Bio IT World 2019 - AI For Healthcare - Simon Taylor, LucidworksLucidworks
Presentation from Bio IT World, Boston | April 16-18, 2019
Track: AI for Healthcare: Practical Application of AI in Clinical Healthcare
Session Title: To AI or Not to AI, That Is the Question
Speaker: Simon Taylor, Lucidworks
Artificial Intelligence disruption: How technologies are predicted to change ...LinkedIn Talent Solutions
Artificial Intelligence (AI) and other emerging technologies are expected to disrupt workplaces across industries and take away millions of jobs in the next decade. Can talent acquisition professionals ignore the technology storm happening all around them? Will their jobs be around in the next 10 years? Will technology replace humans, or just augment their capabilities?
This session will equip you with the basic understanding of key technologies that are changing the world today: Artificial Intelligence and Machine Learning, Blockchain and Virtual Reality; and present their potential applications across candidate and employee journeys.
Join me to help prepare yourself for the radical changes just around the corner.
A top-down look at current industry and technology trends for Big Data, Data Analytics and Machine Learning (cognitive technologies, AI etc.). New slides added for Ark Group presentation on 1st December 2016.
Legal practice is all about information communication, use and management. The Digital Paradigm enables improved and efficient use of information systems to commoditise basic and repetitive advice common to many legal issues. Legal Expert Systems - a subset of Artificial Intelligence - provide further opportunities to develop advice giving processes and systems. This presentation will discuss how Legal Expert Systems can be deployed, how they can be created and their possible application beyond the law office and in the Court system, thus enhancing access to justice.
The Future for Smart Technology ArchitectsPaul Preiss
The future of software and even hardware is based in ever more complex abilities to adapt to highly dynamic change and input. The Internet of Things brings with it input from billions of sources locally and around the globe and for intelligent architects this represents an opportunity to create deep competitive advantage and customer loyalty.
The Japanese have used intelligent systems for years from cars to trains to vacuum cleaners and there will continue to be smarter and smarter systems. Architects around the world must include this thinking into their designs and strategies. Adaptive social networks, individually designed health care, just in time 3d printing are only some of the components of this coming era.
How to include smart system thinking into designs
How to get started with smart tools like inferencing, fuzzy, neural and other technologies
When to think smart and when to avoid
Possible outcomes to strive for today in preparing your architecture for the age of smart systems
Emerging Prevalence of Data Streaming in Analytics and it's Business Signific...Amazon Web Services
Learning Objectives:
- Get an overview of streaming data and it's application in analytics and big data.
- Understand the factors driving the accelerating transformation of batch processing to real-time.
- Learn how you should plan for incorporating data streaming in your analytics and processing workloads.
Business can now easily perform real-time analytics on data that has been traditionally analyzed using batch processing in data warehouses or using Hadoop frameworks, and react to new information in minutes or seconds instead of hours or days. In this webinar, Forrester analyst Mike Gualtieri and Amazon Kinesis GM Roger Barga will discuss this prevalent trend, it's business significance, and how you should plan for it. You will also learn about the AWS services that can help you get started quickly with real-time, streaming applications fore your analytics and big data workloads.
Join us for our free weekly, no-stress, no-sales-pitch discussions about all-things-AI as it relates to the legal profession. Bring a bag lunch and any questions you might have and join us for an informative session.
What we'll discuss:
* Brief introduction on ChatGPT, GPT-4 and generative AI as it relates to law.
* Strengths and limitations of using generative-AI tools like ChatGPT.
* Tools and enhancements coming specifically targeted at helping attorneys leverage AI.
* Cover specific practical applications around drafting documents, summarization and speeding research.
* 3 arguments for AI adoption in your law firm.
* Q&A with our team - bring ANY question; there are no such things as dumb questions here.
Take Action: The New Reality of Data-Driven BusinessInside Analysis
The Briefing Room with Dr. Robin Bloor and WebAction
Live Webcast on July 23, 2014
Watch the archive:
https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=360d371d3a49ad256942f55350aa0a8b
The waiting used to be the hardest part, but not anymore. Today’s cutting-edge enterprises can seize opportunities faster than ever, thanks to an array of technologies that enable real-time responsiveness across the spectrum of business processes. Early adopters are solving critical business challenges by enabling the rapid-fire design, development and production of very specific applications. Functionality can range from improved customer engagement to dynamic machine-to-machine interactions.
Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor, who will tout a new era in data-driven organizations, and why a data flow architecture will soon be critical for industry leaders. He’ll be briefed by Sami Akbay of WebAction, who will showcase his company’s real-time data management platform, which combines all the component parts needed to access, process and leverage data big and small. He’ll explain how this new approach can provide game-changing power to organizations of all types and sizes.
Visit InsideAnlaysis.com for more information.
AWS re:Invent 2016: Leveraging Amazon Machine Learning, Amazon Redshift, and ...Amazon Web Services
The Howard Hughes Corporation partnered with 47Lining to develop a managed enterprise data lake based on Amazon S3. The purpose of the managed EDL is to fuse relevant on-premises and third-party data to enable Howard Hughes to answer its most valuable business questions. Their first analysis was a lead-scoring model that uses Amazon Machine Learning (Amazon ML) to predict propensity to purchase high-end real estate. The model is based on a combined set of public and private data sources, including all publicly recorded real estate transactions in the US for the past 35 years. By changing their business process for identifying and qualifying leads to use the results of data-driven analytics from their managed data lake in AWS, Howard Hughes increased the number of identified qualified leads in their pipeline by over 400% and reduced the acquisition cost per lead by more than 10 times. In this session, you will see a practical example of how to use Amazon ML to improve business results, how to architect a data lake with Amazon S3 that fuses on-premises, third-party, and public data sets, and how to train and run an Amazon ML model to attain predictive accuracy.
AWS is hosting the first FSI Cloud Symposium in Hong Kong, which will take place on Thursday, March 23, 2017 at Grand Hyatt Hotel. The event will bring together FSI customers, industry professional and AWS experts, to explore how to turn the dream of transformation, innovation and acceleration into reality by exploiting Cloud, Voice to Text and IoT technologies. The packed agenda includes expert sessions on a host of pressing issues, such as security and compliance, as well as customer experience sharing on how cloud computing is benefiting the industry.
Speaker: Lijia Xu, Big Data Practice Lead, Professional Services, AWS
Semantic Applications for Financial ServicesDavidSNewman
This presentation provides an overview of the business and technical drivers for building financial service applications using Semantic Technology. Multiple use cases are provided as examples.
How to Obtain Permanent Residency in the NetherlandsBridgeWest.eu
You can rely on our assistance if you are ready to apply for permanent residency. Find out more at: https://immigration-netherlands.com/obtain-a-permanent-residence-permit-in-the-netherlands/.
ALL EYES ON RAFAH BUT WHY Explain more.pdf46adnanshahzad
All eyes on Rafah: But why?. The Rafah border crossing, a crucial point between Egypt and the Gaza Strip, often finds itself at the center of global attention. As we explore the significance of Rafah, we’ll uncover why all eyes are on Rafah and the complexities surrounding this pivotal region.
INTRODUCTION
What makes Rafah so significant that it captures global attention? The phrase ‘All eyes are on Rafah’ resonates not just with those in the region but with people worldwide who recognize its strategic, humanitarian, and political importance. In this guide, we will delve into the factors that make Rafah a focal point for international interest, examining its historical context, humanitarian challenges, and political dimensions.
A "File Trademark" is a legal term referring to the registration of a unique symbol, logo, or name used to identify and distinguish products or services. This process provides legal protection, granting exclusive rights to the trademark owner, and helps prevent unauthorized use by competitors.
Visit Now: https://www.tumblr.com/trademark-quick/751620857551634432/ensure-legal-protection-file-your-trademark-with?source=share
WINDING UP of COMPANY, Modes of DissolutionKHURRAMWALI
Winding up, also known as liquidation, refers to the legal and financial process of dissolving a company. It involves ceasing operations, selling assets, settling debts, and ultimately removing the company from the official business registry.
Here's a breakdown of the key aspects of winding up:
Reasons for Winding Up:
Insolvency: This is the most common reason, where the company cannot pay its debts. Creditors may initiate a compulsory winding up to recover their dues.
Voluntary Closure: The owners may decide to close the company due to reasons like reaching business goals, facing losses, or merging with another company.
Deadlock: If shareholders or directors cannot agree on how to run the company, a court may order a winding up.
Types of Winding Up:
Voluntary Winding Up: This is initiated by the company's shareholders through a resolution passed by a majority vote. There are two main types:
Members' Voluntary Winding Up: The company is solvent (has enough assets to pay off its debts) and shareholders will receive any remaining assets after debts are settled.
Creditors' Voluntary Winding Up: The company is insolvent and creditors will be prioritized in receiving payment from the sale of assets.
Compulsory Winding Up: This is initiated by a court order, typically at the request of creditors, government agencies, or even by the company itself if it's insolvent.
Process of Winding Up:
Appointment of Liquidator: A qualified professional is appointed to oversee the winding-up process. They are responsible for selling assets, paying off debts, and distributing any remaining funds.
Cease Trading: The company stops its regular business operations.
Notification of Creditors: Creditors are informed about the winding up and invited to submit their claims.
Sale of Assets: The company's assets are sold to generate cash to pay off creditors.
Payment of Debts: Creditors are paid according to a set order of priority, with secured creditors receiving payment before unsecured creditors.
Distribution to Shareholders: If there are any remaining funds after all debts are settled, they are distributed to shareholders according to their ownership stake.
Dissolution: Once all claims are settled and distributions made, the company is officially dissolved and removed from the business register.
Impact of Winding Up:
Employees: Employees will likely lose their jobs during the winding-up process.
Creditors: Creditors may not recover their debts in full, especially if the company is insolvent.
Shareholders: Shareholders may not receive any payout if the company's debts exceed its assets.
Winding up is a complex legal and financial process that can have significant consequences for all parties involved. It's important to seek professional legal and financial advice when considering winding up a company.
DNA Testing in Civil and Criminal Matters.pptxpatrons legal
Get insights into DNA testing and its application in civil and criminal matters. Find out how it contributes to fair and accurate legal proceedings. For more information: https://www.patronslegal.com/criminal-litigation.html
ASHWINI KUMAR UPADHYAY v/s Union of India.pptxshweeta209
transfer of the P.I.L filed by lawyer Ashwini Kumar Upadhyay in Delhi High Court to Supreme Court.
on the issue of UNIFORM MARRIAGE AGE of men and women.
NATURE, ORIGIN AND DEVELOPMENT OF INTERNATIONAL LAW.pptxanvithaav
These slides helps the student of international law to understand what is the nature of international law? and how international law was originated and developed?.
The slides was well structured along with the highlighted points for better understanding .
RIGHTS OF VICTIM EDITED PRESENTATION(SAIF JAVED).pptxOmGod1
Victims of crime have a range of rights designed to ensure their protection, support, and participation in the justice system. These rights include the right to be treated with dignity and respect, the right to be informed about the progress of their case, and the right to be heard during legal proceedings. Victims are entitled to protection from intimidation and harm, access to support services such as counseling and medical care, and the right to restitution from the offender. Additionally, many jurisdictions provide victims with the right to participate in parole hearings and the right to privacy to protect their personal information from public disclosure. These rights aim to acknowledge the impact of crime on victims and to provide them with the necessary resources and involvement in the judicial process.
Military Commissions details LtCol Thomas Jasper as Detailed Defense CounselThomas (Tom) Jasper
Military Commissions Trial Judiciary, Guantanamo Bay, Cuba. Notice of the Chief Defense Counsel's detailing of LtCol Thomas F. Jasper, Jr. USMC, as Detailed Defense Counsel for Abd Al Hadi Al-Iraqi on 6 August 2014 in the case of United States v. Hadi al Iraqi (10026)
In 2020, the Ministry of Home Affairs established a committee led by Prof. (Dr.) Ranbir Singh, former Vice Chancellor of National Law University (NLU), Delhi. This committee was tasked with reviewing the three codes of criminal law. The primary objective of the committee was to propose comprehensive reforms to the country’s criminal laws in a manner that is both principled and effective.
The committee’s focus was on ensuring the safety and security of individuals, communities, and the nation as a whole. Throughout its deliberations, the committee aimed to uphold constitutional values such as justice, dignity, and the intrinsic value of each individual. Their goal was to recommend amendments to the criminal laws that align with these values and priorities.
Subsequently, in February, the committee successfully submitted its recommendations regarding amendments to the criminal law. These recommendations are intended to serve as a foundation for enhancing the current legal framework, promoting safety and security, and upholding the constitutional principles of justice, dignity, and the inherent worth of every individual.
What AI is and examples of how it is used in legal
1. What AI is and examples of how it is used in legal
Ben Gardner
Information Architect
Legal Geek – December 2015
Email: Ben.Gardner@Linklaters.com
LinkedIn: https://www.linkedin.com/in/bengardner135
2. Why are we talking about AI?
2015 Law Firms in Transition - An Altman Weil Flash Survey
“Can you envision a law-focused ‘Watson’ replacing any of the following
timekeepers in your firm in the next 5 to 10 years?”
3. Overview
1. What Artificial Intelligence is and is not
2. Artificial Intelligence in Legal
3. What does this mean for legal?
6. Narrow or Weak Artificial Intelligence
Weak AI
Statistical Symbolic
Requires
scale
Hand
crafted
Translation services
Google Now
Siri/Cortana
Watson
Wolfram|alpha
Models
Natural Language Processing
Machine Learning
“Weak AI - non-sentient computer intelligence or AI that focuses on one narrow task” - Wikipedia
7. It’s all about the models
Statistical
Regression
• Predict a real-value response (viral
load, weight)
• Gaussian, Gamma, Poisson and
Tweedie
• MSE and R^2
Classification
• Multi-class or Binary classification
• Ranking
• Accuracy and AUC
Clustering
• Unsupervised learning (no training
labels)
• Partition the data/identify clusters
• AIC and BIC
Symbolic
Ontology
16. Evolution of digital information management on the web
Yahoo & Altavista Google Synonyms Knowledge Graph ???????
Categories &
Keywords
PageRank
Semantic
Machine
Learning
Ontologies
Linked Data
Natural Language
Processing
Reasoning
Taxonomies
‘98 ‘03 ‘12‘94 Hummingbird‘13
Web 1.0 Web 2.0 Web 3.0 Web 4.0
Ben Gardner
Vocabularies
17. Artificial Intelligence in Legal
1. Text analytics
2. Expert systems
3. Ross the super intelligent attorney
4. Start-ups
18. Text analytics
Vocabularies Synonym matching
Entity Extraction Identify “things” rather than “strings”
Natural Language Programing Analysis of the contextual meaning of
text e.g. questions
Machine Learning Document clustering
Identification of clauses
19. Applying Text Analytics
Due Diligence Document Comparison
• Capacity to compare
documents against a
standard template and red
line across corpus
• Identify deviations form the
norm and apply analysis
• Automatically identify
clusters of documents within
corpus of documents
• Automate the extraction of
data from document content
• Capacity to analysis large
volumes of documents
rather than a subset
20. Expert Systems
• Classical approach to AI
• Powerful approach to
guiding users through
complex decision making
• Automating triage of
structure content
26. Innovating Services & Delivering Efficiency
Scenario
1. Perform Due Diligence over a corpus of 100000 contracts
2. Extract contextual information i.e. Borrower, Interest rate, Change of
control clause, etc.
3. Link Borrower to Thompson Reuters companies data to enrich with
profile information
4. Use expert systems to triage/categorise based on extracted & enriched
information and automatically identify action
What else could you do with this?
Text
analytics
Enrich
information
Expert
system
27. Final thoughts
Is Artificial Intelligence a threat or an opportunity?
• AI is an agent for change
• Is the demand for legal product elastic or inelastic?
• Will this be a Red Queen Race?
Bespoke Standardised Systematized Packaged Commoditized
Innovation
Evolution of legal services - Richard Susskind
Continuous Improvement
28. Nothing new!
“We recommend that all solicitors
should review their practices and
office procedures to ensure that
they take full advantage of the
efficiency and economy which can
be obtained with the assistance of
modern technology.”
Royal Commission on Legal Services
(aka the Benson Commission) - 1980
Legal Insider - http://www.legaltechnology.com/latest-news/throwback-thursday-first-thing-we-do-lets-computerise-all-the-lawyers-from-1980/