This document discusses big data and its applications and challenges. It summarizes that big data can increase ROI by optimizing large data volumes for more precise decision-making. It also notes the key challenges of big data are security, residency, and privacy concerns regarding storing and transferring personal data in cloud environments. The document advocates for Hong Kong to update its data privacy laws and encourages using big data to improve government services and open data initiatives.
How optimize the usage of data to driving innovation and efficiency, focused on Brazilian banking market landscape, highlighting main trends, key challenges, leverage managed data lakes and samples of use cases.
Big Data and The Future of Insight - Future FoundationForesight Factory
As Big Data sweeps through consumer-facing businesses, we ask:
- If Big Data is truly a revolution, then what (and whom) will it eliminate or elevate?
- What value will still be derived from conventional market research and brand-building techniques?
- If every brand is backed by Big Data, can every brand prosper?
For more information please contact info@futurefoundation.net or visit www.futurefoundation.net
Analytics driving innovation and efficiency in BankingGianpaolo Zampol
Point of view around main trends and challenges to leverage Analytics in Banking industry, looking for Brazilian market landscape.
Overview on key and emerging topics: Big Data & Analytics, Fundamental Review of Trading Book (FRTB) and Risk-Adjusted Performance Management (RAPM)
Looking at what is driving Big Data. Market projections to 2017 plus what is are customer and infrastructure priorities. What drove BD in 2013 and what were barriers. Introduction to Business Analytics, Types, Building Analytics approach and ten steps to build your analytics platform within your company plus key takeaways.
Big Data, Trends,opportunities and some case studies( Mahmoud Khosravi)Mahmood Khosravi
Humans have been generating data for thousands of years. More recently we have seen
an amazing progression in the amount of data produced from the advent of mainframes
to client server to ERP and now everything digital. For years the overwhelming amount
of data produced was deemed useless
How optimize the usage of data to driving innovation and efficiency, focused on Brazilian banking market landscape, highlighting main trends, key challenges, leverage managed data lakes and samples of use cases.
Big Data and The Future of Insight - Future FoundationForesight Factory
As Big Data sweeps through consumer-facing businesses, we ask:
- If Big Data is truly a revolution, then what (and whom) will it eliminate or elevate?
- What value will still be derived from conventional market research and brand-building techniques?
- If every brand is backed by Big Data, can every brand prosper?
For more information please contact info@futurefoundation.net or visit www.futurefoundation.net
Analytics driving innovation and efficiency in BankingGianpaolo Zampol
Point of view around main trends and challenges to leverage Analytics in Banking industry, looking for Brazilian market landscape.
Overview on key and emerging topics: Big Data & Analytics, Fundamental Review of Trading Book (FRTB) and Risk-Adjusted Performance Management (RAPM)
Looking at what is driving Big Data. Market projections to 2017 plus what is are customer and infrastructure priorities. What drove BD in 2013 and what were barriers. Introduction to Business Analytics, Types, Building Analytics approach and ten steps to build your analytics platform within your company plus key takeaways.
Big Data, Trends,opportunities and some case studies( Mahmoud Khosravi)Mahmood Khosravi
Humans have been generating data for thousands of years. More recently we have seen
an amazing progression in the amount of data produced from the advent of mainframes
to client server to ERP and now everything digital. For years the overwhelming amount
of data produced was deemed useless
Check out how big data is proving invaluable to finance. Here is the top 10 big data trends in finance. Big data place a vital role in analysing the feeds, Predictive models, forecasts & assess trading impacts
Strategy how to change Big Data into useful information and win the business/candidacy, and Big Problem into Big Opportunity in the information exposure era.
Nos données face à l'incertain: la culture data par Benjamin Protais (Busi...Marco Brienza
Benjamin Protais présente les clés pour qu'une entreprise devienne agile par l'intermédiaire de ses données. Et qu'elle le reste! L'incertitude a augmenté le risque et le coût associé à une donnée de mauvaise qualité. Comment orienter ses équipes vers une "culture data" dans un contexte économique et légal en constant mouvement ?
Using Big Data in Finance by Jonah EnglerJonah Engler
How can you utilize Big Data in the Financial Industry? To leverage Big Data - entrepreneur and finance expert Jonah Engler, has put together this presentation to help the slideshare community understand the value - and HOW TO - use big data in the financial campaigns.
Jonah Engler is a financial expert and stock broker based in NYC. Leveraging his experience in finance, Engler has gone on to have success in the franchise, coffee, startup industries and more. To connect with Jonah - checkout his profile on LinkedIn: https://www.linkedin.com/in/jonahengler
Presentation: Big Data – From Strategy to Production - Mario Meir-Huber, Big Data Leader Eastern Europe, Teradata GmbH (AT), at the European Data Economy Workshop taking place back to back to SEMANTiCS2015 on 15 September 2015 in Vienna
You probably have heard about Big Data, but ever wondered what it exactly is? And why should you care?
Mobile is playing a large part in driving this explosion in data. The data are also created by the apps and other services in the background. As people are moving towards more digital channels, tons of data are being created. This data can be used in a lot of ways for personal and professional use. Big Data and mobile apps are converging in an enterprise and interacting; transforming the whole mobile ecosystem.
Smart Data Webinar: Knowledge as a ServiceDATAVERSITY
Building a successful ModernAI application often requires large volumes of data for training ML models or data that has been organized into knowledge using taxonomies or ontologies to support specific vertical markets (healthcare, insurance, pharma, etc.) or horizontal functions (HR, legal, supply chain, etc). While tools do exist to help developers ingest and organize the required data into meaningful knowledge stores, using pre-built data or knowledge packages can make application development faster, more reliable, and less expensive than starting from scratch.
In this webinar we will look at trends and examples of specific proprietary and open source data sets that offer prebuilt knowledge, representations, or models to serve these markets.
Big Data: Real-life Examples of Business Value GenerationCapgemini
This presentation looks at real-world cases of how organizations are using, or planning to use, big data technology to drive value. It looks at the different ways in which the technology is being used in a business context. Examples are drawn from Retail, Telco, Financial Services and Consumer goods.
It also develops a range of business scenarios from simple cost reduction through to new business models specifically looking at how the business case has been built and what value has been realized.
First presented by Richard Brown, Capgemini Program Lead for Business Information Management, at the IP Expo – Big Data Summit 2014.
http://www.capgemini.com/big-data-analytics
Abstract della presentazione di Fabio Rizzotto, IT Research & Consulting Director di IDC Italia, tenuta all’IDC Big Data Conference II, a Bologna il 19 novembre 2013
Rapid digitization has resulted in the production of large volumes of unstructured data. This trend is expected to provide significant opportunities for graph database market in the upcoming years
BIG Data & Hadoop Applications in FinanceSkillspeed
Explore the applications of BIG Data & Hadoop in Finance via Skillspeed.
BIG Data & Hadoop in Finance is a key differentiator, especially in terms of generating greater investment insights. They are used by companies & professionals for risk assessment, fraud detection & forecasting trends in financial markets.
To get more details regarding BIG Data & Hadoop, please visit - www.SkillSpeed.com
Smart Data Webinar: Transforming Industries with Artificial Intelligence (AI)...DATAVERSITY
The state of the art and practice for AI and Machine Learning (ML) has matured rapidly in the past few years, making it an ideal time to take a look at what works and what doesn’t.
In this webinar, we will present an overview of AI-infused applications in two industries:
Manufacturing
Retail
Participants will learn to look for characteristics of business processes and of data that make them well - or ill - suited to AI-augmentation or automation.
Check out how big data is proving invaluable to finance. Here is the top 10 big data trends in finance. Big data place a vital role in analysing the feeds, Predictive models, forecasts & assess trading impacts
Strategy how to change Big Data into useful information and win the business/candidacy, and Big Problem into Big Opportunity in the information exposure era.
Nos données face à l'incertain: la culture data par Benjamin Protais (Busi...Marco Brienza
Benjamin Protais présente les clés pour qu'une entreprise devienne agile par l'intermédiaire de ses données. Et qu'elle le reste! L'incertitude a augmenté le risque et le coût associé à une donnée de mauvaise qualité. Comment orienter ses équipes vers une "culture data" dans un contexte économique et légal en constant mouvement ?
Using Big Data in Finance by Jonah EnglerJonah Engler
How can you utilize Big Data in the Financial Industry? To leverage Big Data - entrepreneur and finance expert Jonah Engler, has put together this presentation to help the slideshare community understand the value - and HOW TO - use big data in the financial campaigns.
Jonah Engler is a financial expert and stock broker based in NYC. Leveraging his experience in finance, Engler has gone on to have success in the franchise, coffee, startup industries and more. To connect with Jonah - checkout his profile on LinkedIn: https://www.linkedin.com/in/jonahengler
Presentation: Big Data – From Strategy to Production - Mario Meir-Huber, Big Data Leader Eastern Europe, Teradata GmbH (AT), at the European Data Economy Workshop taking place back to back to SEMANTiCS2015 on 15 September 2015 in Vienna
You probably have heard about Big Data, but ever wondered what it exactly is? And why should you care?
Mobile is playing a large part in driving this explosion in data. The data are also created by the apps and other services in the background. As people are moving towards more digital channels, tons of data are being created. This data can be used in a lot of ways for personal and professional use. Big Data and mobile apps are converging in an enterprise and interacting; transforming the whole mobile ecosystem.
Smart Data Webinar: Knowledge as a ServiceDATAVERSITY
Building a successful ModernAI application often requires large volumes of data for training ML models or data that has been organized into knowledge using taxonomies or ontologies to support specific vertical markets (healthcare, insurance, pharma, etc.) or horizontal functions (HR, legal, supply chain, etc). While tools do exist to help developers ingest and organize the required data into meaningful knowledge stores, using pre-built data or knowledge packages can make application development faster, more reliable, and less expensive than starting from scratch.
In this webinar we will look at trends and examples of specific proprietary and open source data sets that offer prebuilt knowledge, representations, or models to serve these markets.
Big Data: Real-life Examples of Business Value GenerationCapgemini
This presentation looks at real-world cases of how organizations are using, or planning to use, big data technology to drive value. It looks at the different ways in which the technology is being used in a business context. Examples are drawn from Retail, Telco, Financial Services and Consumer goods.
It also develops a range of business scenarios from simple cost reduction through to new business models specifically looking at how the business case has been built and what value has been realized.
First presented by Richard Brown, Capgemini Program Lead for Business Information Management, at the IP Expo – Big Data Summit 2014.
http://www.capgemini.com/big-data-analytics
Abstract della presentazione di Fabio Rizzotto, IT Research & Consulting Director di IDC Italia, tenuta all’IDC Big Data Conference II, a Bologna il 19 novembre 2013
Rapid digitization has resulted in the production of large volumes of unstructured data. This trend is expected to provide significant opportunities for graph database market in the upcoming years
BIG Data & Hadoop Applications in FinanceSkillspeed
Explore the applications of BIG Data & Hadoop in Finance via Skillspeed.
BIG Data & Hadoop in Finance is a key differentiator, especially in terms of generating greater investment insights. They are used by companies & professionals for risk assessment, fraud detection & forecasting trends in financial markets.
To get more details regarding BIG Data & Hadoop, please visit - www.SkillSpeed.com
Smart Data Webinar: Transforming Industries with Artificial Intelligence (AI)...DATAVERSITY
The state of the art and practice for AI and Machine Learning (ML) has matured rapidly in the past few years, making it an ideal time to take a look at what works and what doesn’t.
In this webinar, we will present an overview of AI-infused applications in two industries:
Manufacturing
Retail
Participants will learn to look for characteristics of business processes and of data that make them well - or ill - suited to AI-augmentation or automation.
-Enrichment - Unlocking the value of data for digital transformation - Big Da...webwinkelvakdag
As pressure for digital transformation increases, companies must harness big data more effectively. But the well-known V’s of data—volume, variety, velocity—represent both opportunities and challenges. Data enrichment enables organizations to take full advantage of the benefits while addressing these typical problems. In this session, we look at what an enrichment workflow might look like and how it enhances data’s value across different use cases.
Who changed my data? Need for data governance and provenance in a streaming w...DataWorks Summit
Enterprises have dealt with data governance over the years, but it has been mostly around master data. With the advent of IoT/web/app streams everywhere in the ecosystem surrounding an enterprise, data-in-motion has become a strong force to reckon. Data-in-motion passes through several levels of transformations and augmentation before it becomes data-at-rest. Through this, it is pertinent to preserve the sanctity of such data or at least track the provenance through the various changes. This is very important for a lot of verticals where there are strong regulatory and compliance laws that exist around "who changed what."
This session will go into detail around some specific use cases of how data gets changed, how it can be tracked seamlessly and why this is important for certain verticals. This will be presented in two parts. The first part will cover the industry angle to this and its importance weighed in by several regulatory bodies. The second part will address the technology aspect of it and discuss how companies can leverage Apache Atlas and Ranger in conjunction with NiFi and Kafka to embrace data governance and provenance of their data streams.
Speakers
Dinesh Chandrasekhar, Director, Hortonworks
Paige Bartley, Senior Analyst - Data and Enterprise Intelligence, Ovum
Analyst Webinar: Best Practices In Enabling Data-Driven Decision MakingDenodo
Watch full webinar here: https://bit.ly/37YkgN4
This presentation looks at the trends that are emerging from companies on their journeys to becoming data-driven enterprises.
These trends are taken from a survey of 500 companies and highlight critical success factors, what companies are doing, their progress so far and their plans going forward. It also looks at the role that data virtualization has within the data driven enterprise.
During the session we'll address:
- What is a data-driven enterprise?
- What are the critical success factors?
- What are companies doing to create a data-driven enterprise and why?
- What progress are they making?
- What are the plans on people, process and technologies?
- Why is data virtualization central to provisioning and accessing data in a data-driven enterprise?
- How should you get started?
D2 d turning information into a competive asset - 23 jan 2014Henk van Roekel
Understanding the evolution of Business Intelligence and Analytics and the challenges and opportunities that come with it. Exploring CGI's Data2Diamonds™ approach ensuring financial sound, technical viable and socially desirable Big Data initiatives.
Data Fabric technology helps companies to achieve their maximum efficiency. In this report, you will find about how data fabric is revolutionizing the work culture.
Webinar #2 - Transforming Challenges into Opportunities for Credit UnionsDenodo
Watch full webinar here: https://buff.ly/3vhzqL5
Join our exclusive webinar series designed to empower credit unions with transformative insights into the untapped potential of data. Explore how data can be a strategic asset, enabling credit unions to overcome challenges and foster substantial growth.
This webinar will delve into how data can serve as a catalyst for addressing key challenges faced by credit unions, propelling them towards a future of enhanced efficiency and growth.
In:Confidence 2019 - A foundation for Insight in a data-rich worldPrivitar
Jason Perkins, Head of Data & Analytics Architecture, BT, talks about the BT data strategy on the In:Confidence 2019 main stage (April 4th at Printworks, London).
Open Data e Smart Government: tecnologie e trend di mercato Alessio MeloniApulian ICT Living Labs
Presentazione nell'ambito del workshop: OPEN DATA E CLOUD COMPUTING: OPPORTUNITÀ DI BUSINESS. Una vista internazionale - 15 Settembre 2014 Pad. 152 della Regione Puglia - 78 Fiera del Levante Bari
Unleash the power of your data and gain instant insights without additional investments in IT infrastructure. We review the state of data analytics, discuss the differences in long-term, medium-term and (near) real-time data and how companies can leverage it with PowerBI.
Date: 15th November 2017
Location: AI Lab Theatre
Time: 16:30 - 17:00
Speaker: Elisabeth Olafsdottir / Santiago Castro
Organisation: Microsoft / Keyrus
This new document explores how Accenture can help financial services firms use a holistic data-centric approach to compliance and to respond to the requirements and challenges to the General Data Protection Regulation. Learn more: https://accntu.re/2uq8ANV
Mastering Data Compliance in a Dynamic Business LandscapeDenodo
Watch full webinar here: https://buff.ly/48rpLQ3
Join us for an enlightening webinar, "Mastering Data Compliance in a Dynamic Business Landscape," presented by Denodo Technologies and W5 Consulting. This session is tailored for business leaders and decision-makers who are navigating the complexities of data compliance in an ever-evolving business environment.
This webinar will focus on why data compliance is crucial for your business. Discover how to turn compliance into a competitive advantage, enhancing operational efficiency and market trust. We'll also address the risks of non-compliance, including financial penalties and the loss of customer trust, and provide strategies to proactively overcome these challenges.
Key Takeaways:
- How can your business leverage data management practices to stay agile and compliant in a rapidly changing regulatory landscape?
- Keys to balancing data accessibility with security and privacy in today's data-driven environment.
- What are the common pitfalls in achieving compliance with regulations like GDPR, CCPA, and HIPAA, and how can your business avoid them?
We will go beyond the technical aspects and delve into how you can strategically position your organization in the realm of data management and compliance. Learn how to craft a data compliance strategy that aligns with your business goals, enhances operational efficiency, and builds stakeholder trust.
As the confluence of several mature and emerging technologies, the Internet of Things (IoT) is rapidly developing into a vibrant new marketplace. What are important considerations for technology, media, and telecom (TMT) companies as they compete for opportunities? This presentation covers:
• Questions TMT executives should be asking about impacts of IoT technologies, performance improvement opportunities, and where value can be generated.
• Building an IoT ecosystem where all players benefit – defining different players' roles and relationships, and already-successful tactics.
• Security and privacy challenges, including how data protection responsibility is assigned and monitored, and defining appropriate security and privacy standards.
Explore this quickly developing new opportunity for TMT companies.
Get more IoT insights: http://www.deloitte.com/us/iot_ecosystem
Enterprises are faced by information overload. Big data appears as an opportunity, but has no relevance until enterprises can put it in context of their activities, processes, and organizations, Applying MDM principles to Big Data is therefore an opportunity that enterprises should target.
This presentation covers the following topics :
- what is MDM and Information Management
- what is Big Data and what are the use cases
- why and how Big Data can take advantage of MDM ? why and how MDM can take advantage of Big Data ?
Big Data LDN 2018: DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAI...Matt Stubbs
Date: 14th November 2018
Location: Governance and MDM Theatre
Time: 10:30 - 11:00
Speaker: Mike Ferguson
Organisation: IBS
About: For most organisations today, data complexity has increased rapidly. In the area of operations, we now have cloud and on-premises OLTP systems with customers, partners and suppliers accessing these applications via APIs and mobile apps. In the area of analytics, we now have data warehouse, data marts, big data Hadoop systems, NoSQL databases, streaming data platforms, cloud storage, cloud data warehouses, and IoT-generated data being created at the edge. Also, the number of data sources is exploding as companies ingest more and more external data such as weather and open government data. Silos have also appeared everywhere as business users are buying in self-service data preparation tools without consideration for how these tools integrate with what IT is using to integrate data. Yet new regulations are demanding that we do a better job of governing data, and business executives are demanding more agility to remain competitive in a digital economy. So how can companies remain agile, reduce cost and reduce the time-to-value when data complexity is on the up?
In this session, Mike will discuss how companies can create an information supply chain to manufacture business-ready data and analytics to reduce time to value and improve agility while also getting data under control.
Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...Denodo
Watch full webinar here: https://bit.ly/3lSwLyU
En la era de la explosión de la información repartida en distintas fuentes, el gobierno de datos es un componente clave para garantizar la disponibilidad, usabilidad, integridad y seguridad de la información. Asimismo, el conjunto de procesos, roles y políticas que define permite que las organizaciones alcancen sus objetivos asegurando el uso eficiente de sus datos.
La virtualización de datos forma parte de las herramientas estratégica para implementar y optimizar el gobierno de datos. Esta tecnología permite a las empresas crear una visión 360º de sus datos y establecer controles de seguridad y políticas de acceso sobre toda la infraestructura, independientemente del formato o de su ubicación. De ese modo, reúne múltiples fuentes de datos, las hace accesibles desde una sola capa y proporciona capacidades de trazabilidad para supervisar los cambios en los datos.
Le invitamos a participar en este webinar para aprender:
- Cómo acelerar la integración de datos provenientes de fuentes de datos fragmentados en los sistemas internos y externos y obtener una vista integral de la información.
- Cómo activar en toda la empresa una sola capa de acceso a los datos con medidas de protección.
- Cómo la virtualización de datos proporciona los pilares para cumplir con las normativas actuales de protección de datos mediante auditoría, catálogo y seguridad de datos.
Similar to Big Data: Trends, Applications and Potentials (20)
ICANN TWNIC TWIGF 2023: Compliance through CompulsionCharles Mok
Compliance through Compulsion: The trend and impact of access restriction becoming a policy tool for compliance
ICANN-APAC TWNIC Engagement Forum 2023 / TWIGF
全球數位威權趨勢及對台灣的挑戰和機遇
Digital Authoritarianism: Global Trends, Challenges and Opportunities for Taiwan
Keynote for Open Culture Foundation
April 8 2023
Taipei, Taiwan
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.
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/
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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.
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.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
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.
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.
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.
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
3. ARE THESE YOUR QUESTIONS?
• Why does it matter?
• How do we perform the proper data analytics?
• How can it help us gain competitive edge?
• How to integrate big data into operations and
business development while keeping costs low?
• How to ensure security, privacy and compliance?
Where to start?
7. HOW CAN BIG DATA INCREASE ROI?
• Optimise huge volume of data generated
• More precise decision-making
• Real time analysis and capture opportunities
• Value-adding and knowledge management
7
9. HELPS MEET BUSINESS GOALS
Reduce
cost
Customer
acquisition
Improve
productivity
and
expansion
9
Next-gen sales
and operations
planning
Improved
segmentations
to up-sell and
cross-sell
Process and
information
automation
10. THE FLOW
Aggregate
Anonymize
Analyze
Data from business
operations
Media
Customer
engagement
10
Actionable
Data
11. USE CASES OF BIG DATA
Internet of things (IoT)
- Perfect match for Big Data
- Establish the infrastructure and flow required to support the high level of
data analytics with data generated via IoT
Context for Interactions and Transactions
- Combining internal statistics with external (social media chatter, survey
response feedback, website requests)
Shaping business plans
Response to undetected trends
- Refine response locations, times and problems
Gain insight into reporting system
- Compliance check and audit using big data e.g. financial transactions
Understanding competitors
11
12. WHERE DOES THE MONEY GO?
Top 5 areas of big data investment
Storage
Servers
Cloud infrastructure
Discovery & analytics
Applications
Source: IDG Enterprise Big Data Study, 2014
13. BASIC APPLICATIONS ARE MORE POPULAR
Complex Basic
Source: Rackspace Hong Kong Cloud Survey
(July 2013)
16. Security
Is the data
protected from
theft, leakage,
spying or attacks?
What is the level
of control and
protection?
Residency
Where is the
data stored?
geographically
disbursed?
What to do with
data in transit &
outside territory?
Privacy
Who can see
personally
identifiable
information (PII)?
Storing,
transferring,
locating and
protecting PII
17. Big data
and
security
Maintaining
ownership and
control of data
Info on 3rd
party service
and distributed
infrastructure
Deliver
resiliency,
availability and
flexibility of
cloud services
18. STAKEHOLDERS AND DATA SECURITY
Businesses
•Outsourcing:
How to select
a cloud vendor?
•How to
maintain
direct control
to safeguard
data integrity?
Cloud service
providers
•How to satisfy
data residency
and privacy
requirements
•How to remain
flexible and
provide cost-effective
service?
Regulator
•Formulation of
relevant
standards and
practices
•Would
sensitive data
end up
overseas?
Customers/end-users
•Are my data
safe in the
cloud?
•Would I know
if there is
security or
privacy breach?
19. FOR BUSINESSES AND SERVICE PROVIDERS:
DATA SECURITY AND PRIVACY
Governance Operation
Governance and Enterprise Risk
Management
Traditional Security, Business
Continuity and Disaster Recovery
Legal and Electronic Discovery Data Center Operations
Compliance and Audit Incident Response, Notification and
Remediation
Information Lifecycle Management Application Security
Portability and Interoperability Encryption and Key Management
Identity and Access Management
Virtualization
Source: Security Guidance for Critical Areas of Focus in
Cloud Computing V2.1, Cloud Security Alliance 2009
20. REGULATING CROSS-BORDER FLOWS
OF PERSONAL DATA: HONG KONG
Our current protection for personal data transferred
overseas is out-of-date (since 1995), weak and
incomprehensive
• Personal Data (Privacy) Ordinance prohibits all
transfers of personal data 'to a place outside Hong
Kong‘ (section 33) never brought into force
Time to review and renew
21. BIG DATA AND E-GOVERNMENT
New Digital 21 Strategy:
“Smart City” vision
• Turning data analysis
into informed decisions
and intuitive services
• Internet of Things:
Sensors, e-commerce
transactions, weather
information, road traffic
21
22. UNLEASHING POWER OF BIG DATA
TO THE PUBLIC – DATA.ONE PORTAL
Mobile app locating doctors and public clinics
22
Any issues related to Big Data including data privacy, support of Government towards BD, and the potential of BD on policy research etc.
Storage (49%), servers (47%), cloud infrastructure (4%), discovery and analytics (43%) and applications (42%) are the top five areas of big data investment today
Common usage: mostly applications (database, email, back-up, servers, storage)