BDWW17 London - Steve Bradbury, GRSC - Big Data to the Rescue: A Fraud Case S...Big Data Week
In 2003, three criminals were jailed for nine years following the largest Card Fraud Case in Europe with a publicised loss to Card Companies of £2.21 million.
Find out how they were caught back then and how Big Data Technologies would have brought them to justice quicker.
Steve Bradbury was the Prime Investigator and Evidence Provider which lead to the convictions using data from Floppy Discs!
BDW17 London - Totte Harinen, Uber - Why Big Data Didn’t End Causal InferenceBig Data Week
Ten years ago there were rumours of the death of causal inference. Big data was supposed to enable us to rely on purely correlational data to predict and control the world. In this talk, I argue that the rumours were strongly exaggerated. Causal inference is becoming increasingly relevant thanks to improvements in inference methods and–ironically–the availability of data. Far from becoming marginalised, causal inference is today more relevant than it’s ever been.
BDW17 London - Rita Simoes, Boehringer Ingelheim - Big Data in Pharma: Sittin...Big Data Week
As far as data is concerned, Pharmaceutical Companies have always been clear-sighted and assertive on what insights to get from it, how, and what to do about it. And then the Big Data Era came in, with its frantic pace, transforming multiple industries all around but, for a number of reasons (privacy and data protection issues on top but not alone) keeping the Pharma Industry behind. How to run the extra mile to keep up with the powerful changes Big Data brings along has become a major concern. Strategic opportunities seem to be around the corner. Is the time to bridge gaps finally here?
BDW17 London - Mick Ridley, Exterion Media & Dale Campbell , TfL - Transformi...Big Data Week
Hello London, the ground-breaking media partnership between Transport for London (TfL) and Exterion Media, gives new opportunities for brands to talk to the London audience in innovative ways and generates vital revenue for London’s transport network.
TfL and Exterion have been working together in the Hello London partnership for a year. Part of the collaboration was around the utilisation of data collected by TfL to better inform advertising investment decisions.
This has led to ground-breaking work in the Out-of-Home advertising sector and the first example of this is Taps Segmentation. Developed by the TfL Data Science team, it allows Exterion to understand demographic patterns at stations based on aggregated contactless and Oyster card usage. This de-personalised data can be analysed for different times of the day and is a game changer – allowing Exterion to rethink how both their classic and digital inventory can be packaged and tailored specifically for clients.
The presentation will cover how TfL and Exterion have collaborated, the approach used by TfL and how Exterion are using it to generate revenue which is reinvested in the transport network.
BDW17 London - Abed Ajraou - First Utility - Putting Data Science in your Bus...Big Data Week
Data Science is now well established in our businesses, and everyone considers data as a key asset and critical for our competitiveness.
However, Data Science is not easy to manage, very often projects failed and the investment made is not seeing as profitable.
The aim of this talk is to share the knowledge in different areas:
* avoid classical mistakes in Data Science
* use the right Big Data technology
* apply the right methodology
* make the Data Science team more efficient
BDW17 London - Steve Bradbury - GRSC - Making Sense of the Chaos of DataBig Data Week
DISCOVER
UNDERSTAND
EVOLVE
Presenting a use case taking unstructured data into OCR, Entity Extraction, Case Management and simple to use Visualisations.
BDW17 London - Andy Boura - Thomson Reuters - Does Big Data Have to Mean Big ...Big Data Week
The document discusses some of the risks associated with big data, including the risk of data breaches getting more costly as data volumes and repositories increase. It notes that smaller breaches involving 10,000 to 100,000 records on average cost hundreds per record, while mega-breaches of millions of records can cost billions and be in the range of pounds per record. The main sources of risk are identified as user error, system glitches, and attacks, with malicious attacks being the costliest. It provides some recommendations around applying security controls like access management and automation while also considering dependencies and maintaining good data hygiene.
BDW17 London - Tom Woolrich, Financial Times - What Does Big Data Mean for th...Big Data Week
Content:
1. A brief history of the FT
2. What does Big Data mean to the FT?
3. The benefits of Big Data & how we use it
4. How we do it
5. What’s next for us?
BDW17 London - Andrew Fryer, Microsoft - Everybody Needs a Bit of Science in ...Big Data Week
Science is a way of thinking more than a body of knowledge. It involves asking why, how, and what questions. Artificial intelligence has advanced due to cloud computing, big data, and open source approaches which have enabled data-driven decision making and rapid learning from experiences. There are still issues around creativity, ethics, and replacing human experience with technologies.
BDW16 London - Alex Bordei, Bigstep - Building Data Labs in the CloudBig Data Week
Building Data Labs in the Cloud summarizes how to build data labs in the cloud by connecting on-premise services through VPN or targeted firewalls, integrating identity services between on-premise and cloud realms, enabling single sign-on with two-factor authentication, using encryption with cloud or on-premise HSMs, leveraging Spark for data science, SQL, ETL, machine learning and graph processing, adopting a multi-context architecture for maintenance and efficiency, and ensuring real-time systems provide performance, stability, serviceability and fault tolerance.
BDW16 London - William Vambenepe, Google - 3rd Generation Data PlatformBig Data Week
1. The document discusses Google Cloud's 3rd generation data platform and services for managing large-scale data and analytics workloads. It focuses on managed services that allow users to focus on insights rather than infrastructure maintenance.
2. The platform includes services for data ingestion, processing, storage and analytics including Cloud Pub/Sub, Dataflow, BigQuery, Dataproc, Bigtable and Cloud Storage. It aims to provide a serverless platform with auto-optimized usage and pay per use pricing model.
3. Over 15 years Google has developed technologies for tackling big data problems including papers, open source projects and cloud products. Core components of their data platform are discussed including the Beam programming model and Dataflow for unified
BDW16 London - Scott Krueger, skyscanner - Does More Data Mean Better Decisio...Big Data Week
We have seen vast improvements to data collection, storage, processing and transport in recent years. An increasing number of networked devices are emitting data and all of us are preparing to handle this wave of valuable data.
Have we, as data professionals, been too focused on the technical challenges and analytical results?
What about the data quality? Are we confident about it? How can we be sure we are making good decisions?
We need to revisit methods of assessing data quality on our modernized data platforms. The quality of our decision making depends on it.
BDW16 London - Nondas Sourlas, Bupa - Big Data in HealthcareBig Data Week
The document discusses Bupa's use of analytics in healthcare, including risk modelling and care management, and referral management. For risk modelling and care management, Bupa uses predictive modelling to identify high-risk patients for targeted outreach programs, which have led to reductions in outpatient visits, tests, and surgical procedures, saving 9-10% in care costs. For referral management, Bupa profiles over 18,000 consultants based on claims data to guide over 700,000 pre-authorizations, achieving estimated healthcare savings of 9-11% of guided spend.
BDW16 London - John Callan, Boxever - Data and Analytics - The Fuel Your Bran...Big Data Week
Unsuccessful marketing campaigns are leaving customers disgruntled, making them 40% less likely to return. Companies are casting aside useful data that can provide further insights into better products/better connections with customers. John Callan, VP of Marketing at Boxever will discuss how AI can change how businesses predict trends, reduce risks, and improve efficiency.
Audience will:
Gain expert-level understanding of data and machine learning that’s used in today’s market
Identify successful ways companies use machine learning to target customers with personalized content
Learn from major airlines use-cases to skillfully target customers and show them exactly what they want to see.
BDW16 London - John Belchamber, Telefonica - New Data, New Strategies, New Op...Big Data Week
Through the experiences of supporting a Multi-Country roll out using data to drive more effective Network capability, we will explain how we have:
Created new internal capability to support local countries, developed skill sets in the country and provided technical infrastucture, algorithms and visualisations to drive the data culture and big data strategies across Telefonica business units.
Through this framework, we will explain how to blend technical and business needs to maximise the benefits and drive better business performance.
BDW16 London - Deenar Toraskar, Think Reactive - Fast Data Key to Efficient C...Big Data Week
The Basel Committee on Banking Supervision (BCBS) and local regulators has been focussed on making banks more safe and resilient. A whole raft of new capital charges and constraints on liquidity and leverage have been introduced: Basel II.5, Basel III, Dodd-Frank, FRTB (“Basel IV”), etc. These have significantly increased the risk data management capabilities banks must have—capabilities that only big data tools can provide.
This talk will cover the challenges of building a position-aware risk management platform that properly aggregates all intra-day trading activity, monitors exposures and risk. The fast data stack can help banks create such a platform and provide a robust foundation to achieve compliance and, ultimately a significant competitive edge by making efficient use of capital.
BDW16 London - Jonny Voon, Innovate UK - Smart Cities and the Buzz Word BingoBig Data Week
With predictions from the United Nations that 66 percent of the world population, including an extra 2.5 billion people, living in urban areas our cities are getting extra attention. If we want to avoid dystopian megacities of the future, then we must begin the technology transformation in our cities now.
BDW16 London - Josh Partridge, Shazam - How Labels, Radio Stations and Brand...Big Data Week
“At Shazam, we think data can be beautiful and stunningly inspiring. The pictures we paint with our data tell stories about changing culture, tastes, and shared discoveries. A truly great new song can sweep across the globe in a wave of Shazams that transcends politics, language, or religion”, Greg Glanday, Chief Revenue Officer at Shazam.
This presentation will offer the audience a few examples of how they can use the data from Shazam to get fantastic insight into the consumers` preferences, and how to take that insight and apply it to a brand.
Giving 3 or 4 great examples of what we do at Shazam, anyone in the audience can understand what this data means, really see this data and then be able to leverage it to make smart marketing decisions.
Main takeaway: a clear understanding of what Shazam data is and how brands can use it.
BDW16 London - Wael Elrifai, Pentaho - Big Data-Driven InnovatiomBig Data Week
This presentation will explore data gathering techniques, tools, and analysis processes in the business innovation process. By way of example, the presentation will outline the stages of planning, designing, and delivering behind one of today’s most popular business innovation use cases for IoT – a predictive maintenance system. It will also reveal the different areas in which businesses gain value (and cost savings) by automating the processes of data engineering and data discovery.
Implementations of Fused Deposition Modeling in real worldEmerging Tech
The presentation showcases the diverse real-world applications of Fused Deposition Modeling (FDM) across multiple industries:
1. **Manufacturing**: FDM is utilized in manufacturing for rapid prototyping, creating custom tools and fixtures, and producing functional end-use parts. Companies leverage its cost-effectiveness and flexibility to streamline production processes.
2. **Medical**: In the medical field, FDM is used to create patient-specific anatomical models, surgical guides, and prosthetics. Its ability to produce precise and biocompatible parts supports advancements in personalized healthcare solutions.
3. **Education**: FDM plays a crucial role in education by enabling students to learn about design and engineering through hands-on 3D printing projects. It promotes innovation and practical skill development in STEM disciplines.
4. **Science**: Researchers use FDM to prototype equipment for scientific experiments, build custom laboratory tools, and create models for visualization and testing purposes. It facilitates rapid iteration and customization in scientific endeavors.
5. **Automotive**: Automotive manufacturers employ FDM for prototyping vehicle components, tooling for assembly lines, and customized parts. It speeds up the design validation process and enhances efficiency in automotive engineering.
6. **Consumer Electronics**: FDM is utilized in consumer electronics for designing and prototyping product enclosures, casings, and internal components. It enables rapid iteration and customization to meet evolving consumer demands.
7. **Robotics**: Robotics engineers leverage FDM to prototype robot parts, create lightweight and durable components, and customize robot designs for specific applications. It supports innovation and optimization in robotic systems.
8. **Aerospace**: In aerospace, FDM is used to manufacture lightweight parts, complex geometries, and prototypes of aircraft components. It contributes to cost reduction, faster production cycles, and weight savings in aerospace engineering.
9. **Architecture**: Architects utilize FDM for creating detailed architectural models, prototypes of building components, and intricate designs. It aids in visualizing concepts, testing structural integrity, and communicating design ideas effectively.
Each industry example demonstrates how FDM enhances innovation, accelerates product development, and addresses specific challenges through advanced manufacturing capabilities.
Video traffic on the Internet is constantly growing; networked multimedia applications consume a predominant share of the available Internet bandwidth. A major technical breakthrough and enabler in multimedia systems research and of industrial networked multimedia services certainly was the HTTP Adaptive Streaming (HAS) technique. This resulted in the standardization of MPEG Dynamic Adaptive Streaming over HTTP (MPEG-DASH) which, together with HTTP Live Streaming (HLS), is widely used for multimedia delivery in today’s networks. Existing challenges in multimedia systems research deal with the trade-off between (i) the ever-increasing content complexity, (ii) various requirements with respect to time (most importantly, latency), and (iii) quality of experience (QoE). Optimizing towards one aspect usually negatively impacts at least one of the other two aspects if not both. This situation sets the stage for our research work in the ATHENA Christian Doppler (CD) Laboratory (Adaptive Streaming over HTTP and Emerging Networked Multimedia Services; https://athena.itec.aau.at/), jointly funded by public sources and industry. In this talk, we will present selected novel approaches and research results of the first year of the ATHENA CD Lab’s operation. We will highlight HAS-related research on (i) multimedia content provisioning (machine learning for video encoding); (ii) multimedia content delivery (support of edge processing and virtualized network functions for video networking); (iii) multimedia content consumption and end-to-end aspects (player-triggered segment retransmissions to improve video playout quality); and (iv) novel QoE investigations (adaptive point cloud streaming). We will also put the work into the context of international multimedia systems research.
this resume for sadika shaikh bca studentSadikaShaikh7
I am a dedicated BCA student with a strong foundation in web technologies, including PHP and MySQL. I have hands-on experience in Java and Python, and a solid understanding of data structures. My technical skills are complemented by my ability to learn quickly and adapt to new challenges in the ever-evolving field of computer science.
INDIAN AIR FORCE FIGHTER PLANES LIST.pdfjackson110191
These fighter aircraft have uses outside of traditional combat situations. They are essential in defending India's territorial integrity, averting dangers, and delivering aid to those in need during natural calamities. Additionally, the IAF improves its interoperability and fortifies international military alliances by working together and conducting joint exercises with other air forces.
How RPA Help in the Transportation and Logistics Industry.pptxSynapseIndia
Revolutionize your transportation processes with our cutting-edge RPA software. Automate repetitive tasks, reduce costs, and enhance efficiency in the logistics sector with our advanced solutions.
MYIR Product Brochure - A Global Provider of Embedded SOMs & SolutionsLinda Zhang
This brochure gives introduction of MYIR Electronics company and MYIR's products and services.
MYIR Electronics Limited (MYIR for short), established in 2011, is a global provider of embedded System-On-Modules (SOMs) and
comprehensive solutions based on various architectures such as ARM, FPGA, RISC-V, and AI. We cater to customers' needs for large-scale production, offering customized design, industry-specific application solutions, and one-stop OEM services.
MYIR, recognized as a national high-tech enterprise, is also listed among the "Specialized
and Special new" Enterprises in Shenzhen, China. Our core belief is that "Our success stems from our customers' success" and embraces the philosophy
of "Make Your Idea Real, then My Idea Realizing!"
The DealBook is our annual overview of the Ukrainian tech investment industry. This edition comprehensively covers the full year 2023 and the first deals of 2024.
Fluttercon 2024: Showing that you care about security - OpenSSF Scorecards fo...Chris Swan
Have you noticed the OpenSSF Scorecard badges on the official Dart and Flutter repos? It's Google's way of showing that they care about security. Practices such as pinning dependencies, branch protection, required reviews, continuous integration tests etc. are measured to provide a score and accompanying badge.
You can do the same for your projects, and this presentation will show you how, with an emphasis on the unique challenges that come up when working with Dart and Flutter.
The session will provide a walkthrough of the steps involved in securing a first repository, and then what it takes to repeat that process across an organization with multiple repos. It will also look at the ongoing maintenance involved once scorecards have been implemented, and how aspects of that maintenance can be better automated to minimize toil.
Transcript: Details of description part II: Describing images in practice - T...BookNet Canada
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and slides: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
GDG Cloud Southlake #34: Neatsun Ziv: Automating AppsecJames Anderson
The lecture titled "Automating AppSec" delves into the critical challenges associated with manual application security (AppSec) processes and outlines strategic approaches for incorporating automation to enhance efficiency, accuracy, and scalability. The lecture is structured to highlight the inherent difficulties in traditional AppSec practices, emphasizing the labor-intensive triage of issues, the complexity of identifying responsible owners for security flaws, and the challenges of implementing security checks within CI/CD pipelines. Furthermore, it provides actionable insights on automating these processes to not only mitigate these pains but also to enable a more proactive and scalable security posture within development cycles.
The Pains of Manual AppSec:
This section will explore the time-consuming and error-prone nature of manually triaging security issues, including the difficulty of prioritizing vulnerabilities based on their actual risk to the organization. It will also discuss the challenges in determining ownership for remediation tasks, a process often complicated by cross-functional teams and microservices architectures. Additionally, the inefficiencies of manual checks within CI/CD gates will be examined, highlighting how they can delay deployments and introduce security risks.
Automating CI/CD Gates:
Here, the focus shifts to the automation of security within the CI/CD pipelines. The lecture will cover methods to seamlessly integrate security tools that automatically scan for vulnerabilities as part of the build process, thereby ensuring that security is a core component of the development lifecycle. Strategies for configuring automated gates that can block or flag builds based on the severity of detected issues will be discussed, ensuring that only secure code progresses through the pipeline.
Triaging Issues with Automation:
This segment addresses how automation can be leveraged to intelligently triage and prioritize security issues. It will cover technologies and methodologies for automatically assessing the context and potential impact of vulnerabilities, facilitating quicker and more accurate decision-making. The use of automated alerting and reporting mechanisms to ensure the right stakeholders are informed in a timely manner will also be discussed.
Identifying Ownership Automatically:
Automating the process of identifying who owns the responsibility for fixing specific security issues is critical for efficient remediation. This part of the lecture will explore tools and practices for mapping vulnerabilities to code owners, leveraging version control and project management tools.
Three Tips to Scale the Shift Left Program:
Finally, the lecture will offer three practical tips for organizations looking to scale their Shift Left security programs. These will include recommendations on fostering a security culture within development teams, employing DevSecOps principles to integrate security throughout the development
Sustainability requires ingenuity and stewardship. Did you know Pigging Solutions pigging systems help you achieve your sustainable manufacturing goals AND provide rapid return on investment.
How? Our systems recover over 99% of product in transfer piping. Recovering trapped product from transfer lines that would otherwise become flush-waste, means you can increase batch yields and eliminate flush waste. From raw materials to finished product, if you can pump it, we can pig it.
What Not to Document and Why_ (North Bay Python 2024)Margaret Fero
We’re hopefully all on board with writing documentation for our projects. However, especially with the rise of supply-chain attacks, there are some aspects of our projects that we really shouldn’t document, and should instead remediate as vulnerabilities. If we do document these aspects of a project, it may help someone compromise the project itself or our users. In this talk, you will learn why some aspects of documentation may help attackers more than users, how to recognize those aspects in your own projects, and what to do when you encounter such an issue.
These are slides as presented at North Bay Python 2024, with one minor modification to add the URL of a tweet screenshotted in the presentation.
Details of description part II: Describing images in practice - Tech Forum 2024BookNet Canada
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and transcript: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/07/intels-approach-to-operationalizing-ai-in-the-manufacturing-sector-a-presentation-from-intel/
Tara Thimmanaik, AI Systems and Solutions Architect at Intel, presents the “Intel’s Approach to Operationalizing AI in the Manufacturing Sector,” tutorial at the May 2024 Embedded Vision Summit.
AI at the edge is powering a revolution in industrial IoT, from real-time processing and analytics that drive greater efficiency and learning to predictive maintenance. Intel is focused on developing tools and assets to help domain experts operationalize AI-based solutions in their fields of expertise.
In this talk, Thimmanaik explains how Intel’s software platforms simplify labor-intensive data upload, labeling, training, model optimization and retraining tasks. She shows how domain experts can quickly build vision models for a wide range of processes—detecting defective parts on a production line, reducing downtime on the factory floor, automating inventory management and other digitization and automation projects. And she introduces Intel-provided edge computing assets that empower faster localized insights and decisions, improving labor productivity through easy-to-use AI tools that democratize AI.
Are you interested in dipping your toes in the cloud native observability waters, but as an engineer you are not sure where to get started with tracing problems through your microservices and application landscapes on Kubernetes? Then this is the session for you, where we take you on your first steps in an active open-source project that offers a buffet of languages, challenges, and opportunities for getting started with telemetry data.
The project is called openTelemetry, but before diving into the specifics, we’ll start with de-mystifying key concepts and terms such as observability, telemetry, instrumentation, cardinality, percentile to lay a foundation. After understanding the nuts and bolts of observability and distributed traces, we’ll explore the openTelemetry community; its Special Interest Groups (SIGs), repositories, and how to become not only an end-user, but possibly a contributor.We will wrap up with an overview of the components in this project, such as the Collector, the OpenTelemetry protocol (OTLP), its APIs, and its SDKs.
Attendees will leave with an understanding of key observability concepts, become grounded in distributed tracing terminology, be aware of the components of openTelemetry, and know how to take their first steps to an open-source contribution!
Key Takeaways: Open source, vendor neutral instrumentation is an exciting new reality as the industry standardizes on openTelemetry for observability. OpenTelemetry is on a mission to enable effective observability by making high-quality, portable telemetry ubiquitous. The world of observability and monitoring today has a steep learning curve and in order to achieve ubiquity, the project would benefit from growing our contributor community.