Sat.Jan 20, 2024 - Fri.Jan 26, 2024

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Building Trust in the Digital Age: The Role of Data Verification

Dataversity

Data has famously been referred to as the “new oil,” powering the fifth industrial revolution. As our reliance on data-intensive sectors like finance, healthcare, and the Internet of Things (IoT) grows, the question of trust becomes paramount. Trust is a multifaceted issue when dealing with data and events, and one core component is data verification. […] The post Building Trust in the Digital Age: The Role of Data Verification appeared first on DATAVERSITY.

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Article: Cloud-Computing in the Post-Serverless Era: Current Trends and Beyond

InfoQ Articles

Discover the evolution of cloud-computing in the post-serverless era, with a shift towards hyper-specialized vertical multi-cloud services and a trend moving from Infrastructure as Code to Composition as Code. Microservices are being redefined in the cloud landscape and upcoming cloud services are set to be rich in constructs.

Cloud 140
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Databricks Announces the Industry’s First Generative AI Engineer Learning Pathway and Certification

databricks

Today, we are announcing the industry's first Generative AI Engineer learning pathway and certification to help ensure that data and AI practitioners have.

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Introducing the New Fully Managed BigQuery Sink V2 Connector for Confluent Cloud: Streamlined Data Ingestion and Cost-Efficiency

Confluent

The new fully managed BigQuery Sink V2 connector for Confluent Cloud offers streamlined data ingestion and cost-efficiency. Learn about the Google-recommended Storage Write API and OAuth 2.0 support.

Cloud 78
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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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Why Organizations Are Transitioning from OpenAI to Fine-Tuned Open-Source Models

Dataversity

In the rapidly evolving generative AI landscape, OpenAI has revolutionized the way developers build prototypes, create demos, and achieve remarkable results with large language models (LLMs). However, when it’s time to put LLMs into production, organizations are increasingly moving away from commercial LLMs like OpenAI in favor of fine-tuned open-source models.

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Article: How Much Architecture Is “Enough?”: Balancing the MVP and MVA Helps You Make Better Decisions

InfoQ Articles

The Minimum Viable Architecture (MVA) is the architectural complement to a Minimum Viable Product (MVP). The MVA and MVP must evolve together for a product to be successful. As new features are delivered to customers, corresponding incremental improvements need to be made in the architecture. Also, the architecture should not get too far ahead of what is needed for the product.

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Meeting DoorDash Growth with a Self-Service Logistics Configuration Platform 

DoorDash Engineering

DoorDash has grown from executing simple restaurant deliveries to working with a wide variety of businesses, ranging from grocery and retail to parcels and pet supplies. Each business faces its own set of constraints as it strives to meet its goals. Our logistics teams — which range across a number of functions, including Dashers, assignment, payment processes, and time estimations — seek to achieve these goals by tuning a variety of configurations for each use case and type of business.

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Confluent’s Customer Zero: Building a Real-Time Alerting System With Confluent Cloud and Slack

Confluent

Read how we built a real-time alerting service with Confluent Cloud and Slack to enable our field-facing teams with the data, insights, and suggested actions they need.

Cloud 72
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2024 Predictions in AI and Natural Language Processing (NLP)

Dataversity

While we were right at the dawn of generative AI this time last year, we didn’t predict quite the profound impact and seismic shift it would create around the world with the introduction of ChatGPT. In our set of 2023 predictions, we did note the potential effect of LLMs, with research showing their ability to self-improve, […] The post 2024 Predictions in AI and Natural Language Processing (NLP) appeared first on DATAVERSITY.

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Trusted Data for the Data Intelligence Platform: Databricks Ventures Invests in Anomalo

databricks

Reliable, accurate and trusted data is the most critical requirement for any data application in an enterprise. As Databricks customers increasingly rely on.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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Article: Generative AI and Organizational Resilience

InfoQ Articles

Generative AI will profoundly transform communication and information sharing over the next decade, but the change will be uneven across industries and roles. Organizations should empower workers to use AI augmentation thoughtfully, while building literacy on capabilities and limits. A balanced, conscientious integration, using iterations and customer feedback, will produce the best outcomes.

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Revolutionizing Telemedicine with Data Streaming

Confluent

Telemedicine services need a reliable, secure, and scalable data infrastructure in order to serve patients. Learn how data streaming with Confluent helps to ensure this.

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Organizations Are Underutilizing Their Data – Here’s Why (and How to Fix It)

Dataversity

The mainstreaming of predictive analytics and generative AI has brought Data Management into focus. Artificial Intelligence both runs on and produces a vast amount of data that must be effectively managed, governed, and analyzed. However, a recent survey of 1,000 North American executives revealed that organizations aren’t quite up for the challenge.

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Data + AI Strategy: People Focus

databricks

This post is part of a series. Check out Part 1: The Data + AI Trifecta: People, Process, and Platform In the current.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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HN718: Prisma SASE Gets Clever With TCP For Better App And User Experiences (Sponsored)

Packet Pushers

Remote and hybrid work means network engineers have to grapple with lossy residential networks such as home wireless that your work-from-home folks are using to access company resources. Their Wi-Fi sucks, and so their use of corporate resources sucks. Sure, youve got them plumbed into a SASE fabric, but that doesnt fix their user experience. Read more » Remote and hybrid work means network engineers have to grapple with lossy residential networks such as home wireless that your work-from-h

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Confluent named a leader in The Forrester Wave™: Cloud Data Pipelines, Q4 2023

Confluent

Learn why Confluent was named as a leader among cloud data pipelines, innovating, in our opinion, every industry with real-time stream processing and analytics, cloud-native Apache Kafka®, and robust developer tooling.

Cloud 59
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AI’s Massive Growth Puts Retail Data in the Spotlight

Dataversity

2023 was an incredible year in the development of artificial intelligence (AI). With the massive adoption of technologies like ChatGPT, millions of people are now uncovering new ways to use AI to create content, including email, video animation, and even code. Since its first debut to the public in 2022, generative AI has dominated headlines […] The post AI’s Massive Growth Puts Retail Data in the Spotlight appeared first on DATAVERSITY.

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Announcing the winners of the first Databricks Asia-Pacific LLM Cup!

databricks

We're excited to announce the winners of Databricks' inaugural Asia-Pacific Large Language Model (LLM) Cup, a first-of-its-kind competition in the region, which garnered.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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Unlocking the Potential of Visual Network Assessment Reports

Obkio

Discover the art of crafting dynamic and intuitive network assessment reports with real-time dashboards and graphs using Network Monitoring tools.

Network 52
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IPB143: Are We Stuck With Dual-Stack Forever?

Packet Pushers

These days, most network devices can speak both IPv4 and IPv6. A dual-stack approach can smooth the transition from one protocol to the other because organizations can get comfortable with IPv6 without having to make a hard cutover. However, they may get so comfortable that they never fully commit. In this episode Ed, Scott, and. Read more » These days, most network devices can speak both IPv4 and IPv6.

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Machine Learning Techniques for Application Mapping

Dataversity

Application mapping, also known as application topology mapping, is a process that involves identifying and documenting the functional relationships between software applications within an organization. It provides a detailed view of how different applications interact, depend on each other, and contribute to the business processes. The concept of application mapping is not new, but its […] The post Machine Learning Techniques for Application Mapping appeared first on DATAVERSITY.

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Atlassian Confluence Server and Data Center Remote Code Execution (CVE-2023-22527) – Cato’s Analysis and Mitigation 

CATO Networks

Atlassian recently disclosed a new critical vulnerability in its Confluence Server and Data Center product line, the CVE has a CVSS score of 10, and allows an unauthenticated attacker to gain Remote Code Execution (RCE) access on the vulnerable server. There is no workaround, the only solution being to upgrade to the latest patched versions. The affected versions of Confluence Data Center and Server are: 8.0.x 8.1.x 8.2.x 8.3.x 8.4.x 8.5.0 – 8.5.3 Details of the vulnerability This vulnera

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Forty years of Mac

Software Architecture Zen

Screenshot from Apple’s “1984” ad directed by Sir Ridley Scott Forty years ago today (24th January 1984) a young Steve Jobs took to the stage at the Flint Center in Cupertino, California to introduce the Apple Macintosh desktop computer and the world found out “why 1984 won’t be like ‘1984’ The Apple Macintosh, or ‘Mac’, boasted cutting-edge specifications for its day.

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D2C230: Adding Python To Your Operations Toolkit

Packet Pushers

Today we’re talking about Python. If you’re new to Python and want to add it to your toolkit, this is the show for you. This episode offers a broad perspective on all the approaches and plug-ins that Python includes. Our guest Michael Kennedy is a Python enthusiast and Python instructor. We discuss: Why you should. Read more » Today we’re talking about Python.

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Data Centers and the Climate Crisis: A Problem Hiding in Plain Sight

Dataversity

According to an article from the United States Environmental Protection Agency (EPA) titled “Sources of Greenhouse Gas Emissions,” here’s where the U.S. stood with greenhouse gas emissions. The biggest offender? Our love for travel. Cars, trucks, planes, and the like, basically anything that guzzled gas or diesel, contributed 28% to the emissions. Almost all of […] The post Data Centers and the Climate Crisis: A Problem Hiding in Plain Sight appeared first on DATAVERSITY.

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Why Do Some Routers Drop Packets or Have High Latencies?

Obkio

Find out why single routers can drop traceroute packets or have higher latencies and why thats normal. Fix router packet loss & latency spikes now!

Routers 52
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A Tale of Two Case Studies: Using LLMs in Production

Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace

Join our exclusive webinar with top industry visionaries, where we'll explore the latest innovations in Artificial Intelligence and the incredible potential of LLMs. We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology. Some takeaways include: How to test and evaluate results 📊 Why confidence scoring matters 🔐 How to assess cost and quality 🤖 Cross-platform cost vs. quality tr

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Cato Taps Generative AI to Improve Threat Communication

CATO Networks

Today, Cato is furthering our goal of simplifying security operations with two important additions to Cato SASE Cloud. First, were leveraging generative AI to summarize all the indicators related to a security issue. Second, we tapped ML to accelerate the identification and ranking of threats by finding similar past threats across an individual customers account and all Cato accounts.

SASE 52
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HS063: What’s On Our Minds

Packet Pushers

Hosts Greg Ferro and Johna Till Johnson reflect on the technological advancements of 2023 and discuss the trends for 2024. In this wide-ranging conversation, they chat about the rise of AI, tech consolidation, and the impact of automation on infrastructure. They also explore the geopolitical impact on supply chains, the move away from Chinese manufacturing, Read more » Hosts Greg Ferro and Johna Till Johnson reflect on the technological advancements of 2023 and discuss the trends for 2024.

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Reimagining Data Strategy to Unlock AI’s Potential

Dataversity

Data: The currency powering the modern digital economy. In a world generating 3.5 quintillion bytes of data every day, one reality is clear – we’re surrounded by a sea of information. While this abundance of data presents immense opportunities, businesses often struggle to fully capitalize on its potential for informed decision-making and strategic insights.

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How to Monitor Network Devices: From Routers to Switches

Obkio

Unlock the secrets to network device monitoring! From routers to switches, discover insights to monitor core network devices with tools, tips & techniques.

Routers 52
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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs. Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy fo