Big Data Berlin 2019 v 18.0 I 'Startups: Lifeguards of the Corporate Data Lak...Dataconomy Media
Are the corporate data lakes the death traps of data science? And can startups be the lifeguards of these corporate date lakes? Get to know the Data Hub Program of Grüenderallianz!
At IndexConf 2018 in San Francisco I shared some of our experience making use of Artificial Intelligence in actual customer-facing applications. In particular, the merits of using the Strategy Design Pattern to manage how that intelligence is exposed to the user.
Big Data Berlin 2019 v 18.0 I 'Startups: Lifeguards of the Corporate Data Lak...Dataconomy Media
Are the corporate data lakes the death traps of data science? And can startups be the lifeguards of these corporate date lakes? Get to know the Data Hub Program of Grüenderallianz!
At IndexConf 2018 in San Francisco I shared some of our experience making use of Artificial Intelligence in actual customer-facing applications. In particular, the merits of using the Strategy Design Pattern to manage how that intelligence is exposed to the user.
Dynniq & GoDataDriven - Shaping the future of traffic with IoT and AIBigDataExpo
Dynniq is a high-tech, innovative company offering smart mobility solutions and services internationally. We will present advanced IoT use cases Dynniq is working on, and share how GoDataDriven helps set up an AI capability. We will share our learnings, and show what makes data science in the mobility domain unique.
Here is an overview of the Bridged framework that CodeData uses to deliver data driven solutions to our customers. The Bridged framework covers all aspects of such solutions - strategy. leadership, process, technology, education and operations.
Industrializing data science: a view from the trenchesAlexander Backus
What does it take to bring machine learning algorithms to production and start delivering business value? How can teams of data scientists and engineers effectively collaborate on a single product, integrate with existing IT systems and keep business stakeholders involved? Using real-life examples, we discuss the challenges and best practices.
MongoDB World 2019: Analytics with MongoDB: The Data Warehouse You Didn't Kno...MongoDB
Creating a modern analytics platform with MongoDB and serverless technologies. You may associate data warehousing, BI, data lakes, and analytics with multi-million dollar projects, but the reality is that the world has changed in the last decade. A development framework and case studies will be provided.
Operationalizing Big Data to Reduce Risk of High Consequence Decisions in Com...OAG Analytics
This white paper presents compelling alternatives to bivariate analysis, i.e. XY or scatter plots, for generating data-driven insights that can reduce risk in complex systems. It explores under what conditions businesses maximize value by relying on computers to make decisions versus using computers to help humans make better and/or faster decisions. The main body of the paper attempts to create a holistic view of why and how to use contemporary data technologies to create actionable insights from large and complex data. The Technical Appendix elaborates on the requisite capabilities of an end-to-end workflow to transform raw data into actionable insights using advanced analytics.
An introductory slide for people who are just getting into the field of Data Science to gain the understanding of why data science is important and how data scientist fits in the loop of the importance of Data Science to the industry
OAG Analytics provides a unique production prediction for any well design, anywhere in the major US shale plays. We harness big data analytics to provide the most efficient, accurate predictions possible.
Big value for big data in oil and gas industry!Sai Natkar
Big data is emerging technology in oil and gas industry. In oil and gas industry, drilling, exploration, maintenance, production all these activities produces very vast amount of data. Until recently it has been too vast to process efficiently.
Big Data is an emerging technology in Information Management that holds promising returns on investment, as it can provide advanced analytics capabilities. It is well suited for large enterprises, and when used properly, it can lead to breakthroughs in analytics, deriving information from data that was previously not possible. However, a Big Data project cannot be approached using traditional IT system design and methods. Its success relies on teamwork and collaboration among petroleum engineering subject matter experts, senior IT professionals, and data scientists. To ensure that Big Data initiatives do not deliver poor results or disappoint, Big Data projects require significant preparation, which dramatically increases the chances of success. This presentation provides practical information about how to get started and what to consider in your plan, and it gives useful tips and examples for planning and executing a Big Data project. At the end of the presentation, attendees will know what Big Data is, what it offers, how to plan such projects, what the roles and responsibilities are for the key project members, and how these projects should be implemented to benefit their organization. Big Data analytics offers enterprises a chance to move beyond simply gathering data to analyzing, mining, and correlating results for insights that translate into business solutions.
Datalicious SuperTag: Container tag for smart tag managementDatalicious
The Datalicious Supertag is Australian’s leading tag management platform that enables digital marketers and agencies to manage a wide range of digital analytics and optimisation technologies through an easy to use drag and drop online interface. The container tag platform allows marketers to implement any JavaScript based tags and apply advanced business rules without the need for IT involvement, which breaks down departmental barriers, reduces costs and increases speed to market as well as overall marketing sophistication. The result is a significant increase in digital ROI through more advanced campaigns, in particular improved ad relevance, user experience and conversion rates.
Dynniq & GoDataDriven - Shaping the future of traffic with IoT and AIBigDataExpo
Dynniq is a high-tech, innovative company offering smart mobility solutions and services internationally. We will present advanced IoT use cases Dynniq is working on, and share how GoDataDriven helps set up an AI capability. We will share our learnings, and show what makes data science in the mobility domain unique.
Here is an overview of the Bridged framework that CodeData uses to deliver data driven solutions to our customers. The Bridged framework covers all aspects of such solutions - strategy. leadership, process, technology, education and operations.
Industrializing data science: a view from the trenchesAlexander Backus
What does it take to bring machine learning algorithms to production and start delivering business value? How can teams of data scientists and engineers effectively collaborate on a single product, integrate with existing IT systems and keep business stakeholders involved? Using real-life examples, we discuss the challenges and best practices.
MongoDB World 2019: Analytics with MongoDB: The Data Warehouse You Didn't Kno...MongoDB
Creating a modern analytics platform with MongoDB and serverless technologies. You may associate data warehousing, BI, data lakes, and analytics with multi-million dollar projects, but the reality is that the world has changed in the last decade. A development framework and case studies will be provided.
Operationalizing Big Data to Reduce Risk of High Consequence Decisions in Com...OAG Analytics
This white paper presents compelling alternatives to bivariate analysis, i.e. XY or scatter plots, for generating data-driven insights that can reduce risk in complex systems. It explores under what conditions businesses maximize value by relying on computers to make decisions versus using computers to help humans make better and/or faster decisions. The main body of the paper attempts to create a holistic view of why and how to use contemporary data technologies to create actionable insights from large and complex data. The Technical Appendix elaborates on the requisite capabilities of an end-to-end workflow to transform raw data into actionable insights using advanced analytics.
An introductory slide for people who are just getting into the field of Data Science to gain the understanding of why data science is important and how data scientist fits in the loop of the importance of Data Science to the industry
OAG Analytics provides a unique production prediction for any well design, anywhere in the major US shale plays. We harness big data analytics to provide the most efficient, accurate predictions possible.
Big value for big data in oil and gas industry!Sai Natkar
Big data is emerging technology in oil and gas industry. In oil and gas industry, drilling, exploration, maintenance, production all these activities produces very vast amount of data. Until recently it has been too vast to process efficiently.
Big Data is an emerging technology in Information Management that holds promising returns on investment, as it can provide advanced analytics capabilities. It is well suited for large enterprises, and when used properly, it can lead to breakthroughs in analytics, deriving information from data that was previously not possible. However, a Big Data project cannot be approached using traditional IT system design and methods. Its success relies on teamwork and collaboration among petroleum engineering subject matter experts, senior IT professionals, and data scientists. To ensure that Big Data initiatives do not deliver poor results or disappoint, Big Data projects require significant preparation, which dramatically increases the chances of success. This presentation provides practical information about how to get started and what to consider in your plan, and it gives useful tips and examples for planning and executing a Big Data project. At the end of the presentation, attendees will know what Big Data is, what it offers, how to plan such projects, what the roles and responsibilities are for the key project members, and how these projects should be implemented to benefit their organization. Big Data analytics offers enterprises a chance to move beyond simply gathering data to analyzing, mining, and correlating results for insights that translate into business solutions.
Datalicious SuperTag: Container tag for smart tag managementDatalicious
The Datalicious Supertag is Australian’s leading tag management platform that enables digital marketers and agencies to manage a wide range of digital analytics and optimisation technologies through an easy to use drag and drop online interface. The container tag platform allows marketers to implement any JavaScript based tags and apply advanced business rules without the need for IT involvement, which breaks down departmental barriers, reduces costs and increases speed to market as well as overall marketing sophistication. The result is a significant increase in digital ROI through more advanced campaigns, in particular improved ad relevance, user experience and conversion rates.
Fit For Purpose: Preventing a Big Data LetdownInside Analysis
The Briefing Room with Dr. Robin Bloor and RedPoint Global
Live Webcast October 6, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=9982ad3a2603345984895f279e849d35
Gartner recently placed Big Data in its “trough of disillusionment,” reflective of many leaders’ struggle to prove the value of Hadoop within their organization. While the promise of enhanced data integration and enrichment is obvious, measurable results have remained elusive. This episode of The Briefing Room will outline how to successfully tie Big Data to existing business applications, preventing your next Hadoop project from being another “Big Data letdown.”
Register today to learn from veteran Analyst Dr. Robin Bloor as he discusses the importance of converging enterprise data integration with intelligence and scalability. He’ll be briefed by George Corugedo of RedPoint Global, who will provide concrete examples of how the convergence of scalable cloud platforms, ever-expanding data sources and intelligent execution can turn the Big Data hype into demonstrable business value.
Visit InsideAnalysis.com for more information.
Delivering analytics at scale with a governed data lakeJean-Michel Franco
Data privacy is on everyone's mind right now. Regulations such as GDPR, as well as public sentiment, mean that governance and compliance are must-have capabilities for data lakes. Learn how to curate meaningful data from your data lake, accelerate governance and compliance, and enable your organization with searchable, trusted datasets.
Linked data the next 5 years - From Hype to ActionAndreas Blumauer
How can we shape the future of Linked Data and the Semantic Web, to make it even more widely spread in enterprises and other organizations? Which developments around linked data technologies should we expect, and how can we implement various use cases successfully?
The new dominant companies are running on data SnapLogic
The cost of Digital Transformation is dropping rapidly. The technologies and methodologies are evolving to open up new opportunities for new and established corporations to drive business. We will examine specific examples of how and why a combination of robust infrastructure, cloud first and machine learning can take your company to the next level of value and efficiency.
Rich Dill, SnapLogic's enterprise solutions architect, at Big Data LDN 2017.
MongoDB World 2019: Data Digital DecouplingMongoDB
Why data decoupling? Learn how enterprises are pivoting to decouple big monolith and legacy data platform to smaller chunk and freedom to run anywhere and run multi-cloud agility for their business
RCG has developed a unique approach to helping its clients solve business problems using data. Whether you are interested in learning how to use technology to expose more value from your data through analytics solutions or understanding whether statistical analysis would surface new insights, RCG is ready to help with its Data & Analytics Practice.
In this slidecast, Rob Clyde from Adaptive Computing describes Big Workflow-- the convergence of Cloud, Big Data, and HPC in enterprise computing.
"The explosion of big data, coupled with the collisions of HPC and cloud, is driving the evolution of big data analytics," said Rob Clyde, CEO of Adaptive Computing. "A Big Workflow approach to big data not only delivers business intelligence more rapidly, accurately and cost effectively, but also provides a distinct competitive advantage. We are confident that Big Workflow will enable enterprises across all industries to leverage big data that inspires game-changing, data-driven decisions."
Learn more: http://bit.ly/bigworkflow
Watch the video presentation: http://wp.me/p3RLHQ-bp2
Activating Big Data: The Key To Success with Machine Learning Advanced Analyt...Vasu S
A whitepaper of Qubole that How to make all of your data available to users for a multitude of use cases, ranging from analytics to machine learning and artificial intelligence.
https://www.qubole.com/resources/white-papers/activating-big-data-the-key-to-success-with-machine-learning-advanced-analytics
Similar to Big Data Paris v 9.0 I 'Startups: Lifeguards of the Corporate Data Lake" - Marc Weimer-Hablitzel (20)
Data Natives Frankfurt v 11.0 | "Competitive advantages with knowledge graphs...Dataconomy Media
The challenges of increasing complexity of organizations, companies and projects are obvious and omnipresent. Everywhere there are connections and dependencies that are often not adequately managed or not considered at all because of a lack of technology or expertise to uncover and leverage the relationships in data and information. In his presentation, Axel Morgner talks about graph technology and knowledge graphs as indispensable building blocks for successful companies.
Data Natives Munich v 12.0 | "How to be more productive with Autonomous Data ...Dataconomy Media
Every day we are challenged with more data, more use cases and an ever increasing demand for analytics. In this talk Bjorn will explain how autonomous data management and machine learning help innovators to more productive and give examples how to deliver new data driven projects with less risk at lower costs.
Data Natives meets DataRobot | "Build and deploy an anti-money laundering mo...Dataconomy Media
Compliance departments within banks and other financial institutions are turning to machine learning for improving their Anti Money Laundering compliance activities. Today, the systems that aim to detect potentially suspicious activity are commonly rule-based, and suffer from ultra-high false positive rates. DataRobot will discuss how their Automated Machine Learning platform was successfully used for a real use case to reduce their false positives and to enhance their Anti-Money Laundering activities.
Data Natives Munich v 12.0 | "Political Data Science: A tale of Fake News, So...Dataconomy Media
Trump, Brexit, Cambridge Analytica... In the last few years, we have had to confront the consequences of the use and misuse of data science algorithms in manipulating public opinion through social media. The use of private data to microtarget individuals is a daily practice (and a trillion-dollar industry), which has serious side-effects when the selling product is your political ideology. How can we cope with this new scenario?
Data Natives Vienna v 7.0 | "The Ingredients of Data Innovation" - Robbert de...Dataconomy Media
When taking a deep dive into the world of data, one thing is certain: the ultimate goal is to create something new, something better, something faster. In other words, innovation should always be at the forefront of companies strategic outlook, whether their goal is to pioneer new processes, user experiences, products or services.
Data Natives Cologne v 4.0 | "The Data Lorax: Planting the Seeds of Fairness...Dataconomy Media
What does it take to build a good data product or service? Data practitioners always think about the technology, user experience and commercial viability. But rarely do they think about the implications of the systems they build. This talk will shed light on the impact of AI systems and the unintended consequences of the use of data in different products. It will also discuss our role, as data practitioners, in planting the seeds of fairness in the systems we build.
Data Natives Cologne v 4.0 | "How People Analytics Can Reveal the Hidden Aspe...Dataconomy Media
We all hear about the power of data, big data and data analysis in todays market place. But rarely feel it's touchable effects on our own business decisions and performance.
Let's dive into it and see how can people analytics increase people performance, motivation and business revenue?
Data Natives Amsterdam v 9.0 | "Ten Little Servers: A Story of no Downtime" -...Dataconomy Media
Cloud Infrastructure is a hostile environment: a power supply failure or a network outage leads to downtime and big losses. There is nothing we can trust: a single server, a server rack, even a whole datacenter can fail, and if an application is fragile by design, disruption is inevitable. We must distribute our application and diversify cloud data strategy to survive disturbances of any scale. Apache Cassandra is a cloud-native platform-agnostic database that stores data with a distributed redundancy so it easily survives any issue. What to know how Apple and Netflix handle petabytes of data, keeping it highly available? Join us and listen to a story of 10 little servers and no downtime!
Data Natives Amsterdam v 9.0 | "Point in Time Labeling at Scale" - Timothy Th...Dataconomy Media
In the data industry, having correctly labelled datasets is vital. Timothy Thatcher explains how tagging your data while considering time and location and complex hierarchical rules at scale can be handled.
Data NativesBerlin v 20.0 | "Serving A/B experimentation platform end-to-end"...Dataconomy Media
During the lifetime of an A/B test product managers and analysts in GetYourGuide require various tools and different kinds of data to plan the trial properly, control it during the run and analyze the results at the end. This talk would be about the architecture, tools and data flow for serving their needs.
Data Natives Berlin v 20.0 | "Ten Little Servers: A Story of no Downtime" - A...Dataconomy Media
Cloud Infrastructure is a hostile environment: a power supply failure or a network outage leads to downtime and big losses. There is nothing we can trust: a single server, a server rack, even a whole datacenter can fail, and if an application is fragile by design, disruption is inevitable. We must distribute our application and diversify cloud data strategy to survive disturbances of any scale. Apache Cassandra is a cloud-native platform-agnostic database that stores data with a distributed redundancy so it easily survives any issue. What to know how Apple and Netflix handle petabytes of data, keeping it highly available? Join us and listen to a story of 10 little servers and no downtime!
Big Data Frankfurt meets Thinkport | "The Cloud as a Driver of Innovation" - ...Dataconomy Media
Creativity is the mental ability to create new ideas and designs. Innovation, on the other hand, Means developing useful solutions from new ideas. Creativity can be goal-oriented, Whereas innovation is always goal-oriented. This bedeutet, dass innovation aims to achieve defined goals. The use of cloud services and technologies promises enterprise users many benefits in terms of more flexible use of IT resources and faster access to innovative solutions. That’s why we want to examine the question in this talk, of what role cloud computing plays for innovation in companies.
Thinkport meets Frankfurt | "Financial Time Series Analysis using Wavelets" -...Dataconomy Media
Presentation of Time Series Properties of Financial Instrument and Possibilities in Frequency Decomposition and Information Extraction using FT, STFT and Wavelets with Outlook in Current Research on Wavelet Neural Networks
Big Data Helsinki v 3 | "Distributed Machine and Deep Learning at Scale with ...Dataconomy Media
"With most machine learning (ML) and deep learning (DL) frameworks, it can take hours to move data for ETL, and hours to train models. It's also hard to scale, with data sets increasingly being larger than the capacity of any single server. The amount of the data also makes it hard to incrementally test and retrain models in near real-time.
Learn how Apache Ignite and GridGain help to address limitations like ETL costs, scaling issues and Time-To-Market for the new models and help achieve near-real-time, continuous learning.
Yuriy Babak, the head of ML/DL framework development at GridGain and Apache Ignite committer, will explain how ML/DL work with Apache Ignite, and how to get started.
Topics include:
— Overview of distributed ML/DL including architecture, implementation, usage patterns, pros and cons
— Overview of Apache Ignite ML/DL, including built-in ML/DL algorithms, and how to implement your own
— Model inference with Apache Ignite, including how to train models with other libraries, like Apache Spark, and deploy them in Ignite
— How Apache Ignite and TensorFlow can be used together to build distributed DL model training and inference"
Big Data Helsinki v 3 | "Federated Learning and Privacy-preserving AI" - Oguz...Dataconomy Media
"Machine learning algorithms require significant amounts of training data which has been centralized on one machine or in a datacenter so far. For numerous applications, such need of collecting data can be extremely privacy-invasive. Recent advancements in AI research approach this issue by a new paradigm of training AI models, i.e., Federated Learning.
In federated learning, edge devices (phones, computers, cars etc.) collaboratively learn a shared AI model while keeping all the training data on device, decoupling the ability to do machine learning from the need to store the data in the cloud. From personal data perspective, this paradigm enables a way of training a model on the device without directly inspecting users’ data on a server. This talk will pinpoint several examples of AI applications benefiting from federated learning and the likely future of privacy-aware systems."
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.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
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.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.