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Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf

FIDO Alliance

What's New in Teams Calling, Meetings and Devices April 2024

Stephanie Beckett

The Metaverse: Are We There Yet?

Mark Billinghurst

Microsoft CSP Briefing Pre-Engagement - Questionnaire

Exakis Nelite

WSO2CONMay2024OpenSourceConferenceDebrief.pptx

Jennifer Lim

ERP Contender Series: Acumatica vs. Sage Intacct

BrainSell Technologies

Overview of Hyperledger Foundation

Hyperleger Tokyo Meetup

Syngulon’s technology expands the capacity for selection of microorganisms. The ability to select individual microbes with a behavior of interest is essential, whether for simple cloning at the bench, or for industry-scale production. Synthetic biology uses the concept of “bioengineering” to improve or modify existing genetic systems to create microbes with desired behaviors, and Syngulon uses this approach to develop its selection technologies. This selection technology is based on bacteriocins, ribosomally-produced peptides naturally made by most bacteria to kill competitive microbial species. These bacteriocins can have a limited or wide target range against other microbial species. This technology offers advantageous over antibiotic selection for several reasons: it avoids the use of antibiotics in the first place, helping to reduce the spread of antibiotic resistant microbes. The technology also increases product yield; as bacteriocins are generally smaller peptides, they do not impose a heavy metabolic burden on the producing cell. They can have a wide target specificity, helping to avoid genetic drift. Finally, our system is 100% plasmid-based (e.g. without chromosomal mutations), making it applicable for use in any E. coli strains.

Syngulon - Selection technology May 2024.pdf

Syngulon

Delivered by Michael Down at Gartner Data & Analytics Summit London 2024 - Your enemies use GenAI too: Staying ahead of fraud with Neo4j. Fraudsters exploit the latest technologies like generative AI to stay undetected. Static applications can’t adapt quickly enough. Learn why you should build flexible fraud detection apps on Neo4j’s native graph database combined with advanced data science algorithms. Uncover complex fraud patterns in real-time and shut down schemes before they cause damage.

Your enemies use GenAI too - staying ahead of fraud with Neo4j

Neo4j

New customer? New industry? New cloud? New team? A lot to handle! How to ensure the success of the project? Start it well! I've created the 3 areas of focus at the beginning of the project that helped me in multiple roles (BA, PO, and Consultant). Learn from real-world experiences and discover how these insights can empower you to deliver unparalleled value to your customers right from the project's start.

Powerful Start- the Key to Project Success, Barbara Laskowska

CzechDreamin

Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...

FIDO Alliance

Join me in this session where I'll share our journey of building a fully serverless application that flawlessly managed check-ins for an event with a staggering 80 thousand registrations. We'll dive into three key strategies that made this possible. Firstly, by harnessing DynamoDB global tables, we ensured global service availability and data replication across regions, boosting performance and disaster recovery. Next, we'll explore how we seamlessly integrated real-time updates into the app using Appsync subscriptions, making the experience dynamic and engaging for users. Finally, I'll discuss how provisioned concurrency not only improved performance but also kept costs in check, highlighting the cost-effectiveness of serverless architectures. Through these strategies and the inherent scalability of serverless technology, our application effortlessly handled massive user loads without manual intervention. This session is a real world example to the power and efficiency of modern cloud-based solutions in enabling seamless scalability and robust performance with Serverless

How we scaled to 80K users by doing nothing!.pdf

Srushith Repakula

Intro in Product Management - Коротко про професію продакт менеджера

Mark Opanasiuk

Working together SRE & Platform Engineering

Marcus Vechiato

Are you wondering why everyone is talking about the Flutterwave scandal? You’re not alone! It’s been in the news a lot. We’re going to tell you all about the Flutterwave Scandal in a way that’s easy to get. Keep reading, because we’re going to share the whole story with you. The company Flutterwave is headquartered in San Francisco, California, United States. In 2016, Iyinoluwa Aboyeji, Olugbenga Agboola, and Adeleke Adekoya established Flutterwave. It offers a payment infrastructure to international merchants and payment service providers throughout Africa. The company operates in various African countries including Nigeria, Kenya, Uganda, Ghana, South Africa, and others. They focus on digital payments, helping businesses accept and process payments on various channels like the web, mobile, ATM, and POS. Recently, they’ve been in the news due to allegations of misconduct within the company, which has affected their reputation and value. Flutterwave is an essential player in the African fintech landscape, aiming to drive growth for banks and businesses through digital payment solutions. The Flutterwave scandal involves allegations of misconduct and inappropriate behaviour towards female employees by the company’s co-founder and CEO, Olugbenga Agboola. Reports have surfaced from both current and former employees about bullying, intimidation, and sexual harassment at work. The allegations of inappropriate behaviour towards female employees at Flutterwave, specifically involving the CEO Olugbenga Agboola, were brought to public attention in April 2022.This was when Clara Wanjiku Odero, an ex-employee and current CEO of Credrails, published a Medium post and a series of tweets on April 4, 2022, accusing Flutterwave and Agboola of bullying. These allegations were part of a broader range of misconduct claims that surfaced around the same time The reasons behind the scandal are rooted in accusations of unethical behavior within the company. The allegations suggest a workplace culture that allowed for misconduct and failed to protect employees from harassment and intimidation. Specifically, the Flutterwave scandal refers to the series of events where the CEO was accused of engaging in improper conduct with female colleagues. This led to a broader investigation into the company’s practices and raised serious concerns about the fintech’s corporate governance. The scandal had significant repercussions, including a drop in the company’s stock price and a loss of trust among customers and partners. The trust that customers and investors had in Flutterwave was greatly damaged. People started to doubt the company’s integrity and whether their money and personal information were safe. Market Impact The scandal shook the entire fintech market. Flutterwave’s competitors saw this as an opportunity and started to attract customers who were leaving Flutterwave.

Breaking Down the Flutterwave Scandal What You Need to Know.pdf

UK Journal

PLAI - Acceleration Program for Generative A.I. Startups

Stefano

The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf

FIDO Alliance

WebAssembly is Key to Better LLM Performance

Samy Fodil

TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...

marcuskenyatta275

Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “Enterprise Knowledge Graphs: The Importance of Semantics” on May 9, 2024, at the annual Data Summit in Boston. In her presentation, Hedden describes the components of an enterprise knowledge graph and provides further insight into the semantic layer – or knowledge model – component, which includes an ontology and controlled vocabularies, such as taxonomies, for controlled metadata. While data experts tend to focus on the graph database components (RDF triple store or a label property graph), Hedden emphasizes they should not overlook the importance of the semantic layer.

Enterprise Knowledge Graphs - Data Summit 2024

Enterprise Knowledge

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