databricks

MARCH 27, 2024

Databricks’ mission is to deliver data intelligence to every enterprise by allowing organizations to understand and use their unique data to build their.

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Network Engineering

MARCH 28, 2024

I am trying to determine exactly why GR timers are recommended to be less than HOLDTIME timers Per RFC4724: A suggested default for the Restart Time is a value less than or equal to the HOLDTIME carried in the OPEN. and When the Receiving Speaker detects termination of the TCP session for a BGP session with a peer that has advertised the Graceful Restart Capability, it MUST retain the routes received from the peer for all the address families that were previously received in the Graceful Restart

TCP 130

TCP Advertising 130

Dataversity

MARCH 29, 2024

Instead of celebrating World Backup Day 2024 for accomplishing another year of successful backups, I recommend using it to look forward to a year of testing recovery. Instead of starting data protection strategies by planning backups, organizations should flip their mindset and start by planning recovery: What data needs to be recovered first? What systems […] The post World Backup Day Is So 2023 – How About World Data Resilience Day?

Government 119

Government Education 119

InfoQ Articles

MARCH 27, 2024

Only doing product-led work can lead to an unmaintainable system with lots of downtime. Unfortunately, getting time to work on the things that would prevent that can be challenging. Engineering roadmaps balance many competing demands, and the people making the decisions aren’t always the closest to the code. There is a need to learn how to speak their language.

Engineering 109

Engineering DevOps 109

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

Engineering

databricks

MARCH 27, 2024

Comments

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145

Arista Networks

MARCH 25, 2024

As we all recover from NVIDIA’s exhilarating GTC 2024 in San Jose last week, AI state-of-the-art news seems fast and furious. Nvidia’s latest Blackwell GPU announcement and Meta’s blog validating Ethernet for their pair of clusters with 24,000 GPUs to train on their Llama 3 large language model (LLM) made the headlines. Networking has come a long way, accelerating pervasive compute, storage, and AI workloads for the next era of AI.

Network 108

Network Networking Ethernet Cloud 108

InfoQ Articles

MARCH 25, 2024

In this article Diwan shared how the Netflix membership team does distributed systems: the architecture bets, technology choices, and operational semantics that serve the needs of Netflix’s ever-growing member base.

DevOps 104

DevOps Cloud 104

databricks

MARCH 26, 2024

By Steve Sobel - Global Industry Leader; Communications, Media & Entertainment Today Databricks and Adobe are excited to announce a strategic partnership focused.

Media 140

Media 140

DoorDash Engineering

MARCH 27, 2024

Real-time event processing is a critical component of a distributed system’s scalability. At DoorDash, we rely on message queue systems based on Kafka to handle billions of real-time events. One of the challenges we face, however, is how to properly validate the system before going live. Traditionally, an isolated environment such as staging is used to validate new features.

Application 103

Application Engineering Advertising Server 103

Ben Morris

MARCH 28, 2024

Knowing what decisions to make and when to make them can be something of a fine art

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100

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.

Application

InfoQ Articles

MARCH 26, 2024

Aayush Mudgal describes how Pinterest serves advertisements. He discussed in detail how Machine Learning is used to serve ads at large scale. He went over ads marketplaces and the ad delivery funnel, the ad serving architecture , and two of the main problems: ads retrieval and ranking. Finally he discussed some of the challenges and solutions for training and serving large models.

Advertising 94

Advertising Network Networking Engineering 94

databricks

MARCH 28, 2024

Databricks Runtime 14.3 includes a new capability that allows users to access and analyze Structured Streaming 's internal state data: the State Reader.

Engineering 133

Engineering 133

Cloudera Blog

MARCH 28, 2024

At a time when AI is exploding in popularity and finding its way into nearly every facet of business operations, data has arguably never been more valuable. More recently, that value has been made clear by the emergence of AI-powered technologies like generative AI (GenAI) and the use of Large Language Models (LLMs). But, even with the backdrop of an AI-dominated future, many organizations still find themselves struggling with everything from managing data volumes and complexity to security conc

Government 94

Government Cloud 94

Engineering at Meta

MARCH 26, 2024

Meta’s family of apps serves trillions of image download requests every day. And if you’re into high-quality images, you’ve probably noticed that Instagram and Threads have added support for high dynamic range (HDR) photos. Now people on Threads and Instagram can upload and share images that are more true-to-life, with the full color and range their device is capable of capturing.

Media 82

Media Engineering 82

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.

Confluent

MARCH 26, 2024

Use Confluent data streaming platform to proactively identify and resolve network issues for greater customer satisfaction and cost savings.

Network 75

Network Networking 75

databricks

MARCH 29, 2024

Today, we are excited to announce the general availability of Databricks Notebooks on SQL warehouses. Databricks SQL warehouses are SQL-optimized compute that provide.

119

119

Cloudera Blog

MARCH 26, 2024

The ongoing progress in Artificial Intelligence is constantly expanding the realms of possibility, revolutionizing industries and societies on a global scale. The release of LLMs surged by 136% in 2023 compared to 2022, and this upward trend is projected to continue in 2024. Today, 44% of organizations are experimenting with generative AI, with 10% having already implemented it in operational settings.

Artificial Intelligence 84

Artificial Intelligence Application Banking Cloud 84

Dataversity

MARCH 25, 2024

Like any new technology, a lot of people are keen to use generative AI to help them in their jobs. Accenture research found that 89% of businesses think that using generative AI to make services feel more human will open up more opportunities for them. This will force change – Accenture also found that 86% […] The post Getting Ahead of Shadow Generative AI appeared first on DATAVERSITY.

Artificial Intelligence 75

Artificial Intelligence Education 75

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

Artificial Intelligence

Confluent

MARCH 26, 2024

In this guide, you will learn how to track events in a large codebase like GitHub using Apache Kafka and Kafka Streams.

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69

databricks

MARCH 29, 2024

Overview In the competitive world of professional hockey, NHL teams are always seeking to optimize their performance. Advanced analytics has become increasingly important.

Media 111

Media 111

Cloudera Blog

MARCH 25, 2024

Meet Cloudera’s new Senior Vice President of Global Communications, Jess Hohn-Cabana. In this Employee Spotlight, we’ll get to know more about Jess, her new role, and her recent award win at the 2024 Ragan Top Women in Communications Awards. Get to Know Jess: A Seasoned Leader in Tech Communications and Branding Coming to Cloudera with nearly three decades of experience in tech communications and branding, Jess is a leader and a visionary on all things storytelling.

Advertising 83

Advertising Energy Cloud 83

Dataversity

MARCH 27, 2024

Artificial intelligence (AI) startup Woebot Health made the news recently for some of its disastrously flawed artificial bot responses to text messages that were sent to it mimicking a mental health crisis. Woebot, which raised $90 million in a Series B round, responded that it is not intended for use during crises. Company leadership woefully […] The post How Artificial Intelligence Will First Find Its Way Into Mental Health appeared first on DATAVERSITY.

Artificial Intelligence 69

Artificial Intelligence Education 69

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“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.

Confluent

MARCH 27, 2024

Our Women’s History Month special Confluent Champion post highlights how Solutions Architect Smriti Sridhar helps drive Women in Tech initiatives.

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databricks

MARCH 25, 2024

With the releases of Apache Spark 3.4 and 3.5 in 2023, we focused heavily on improving PySpark performance, flexibility, and ease of use.

Engineering 105

Engineering 105

Packet Pushers

MARCH 29, 2024

Where there are containers, there is networking. Today we dig into the networking that underlies Kubernetes, the open source orchestration platform for container-based applications. Our guest Karim El Jamali takes us through the essential concepts: Nodes, pods, clusters, CNIs, virtual ethernet pairs, ingress controller, eBPF, and service meshes. As container-based applications grow in popularity, its.

Ethernet 52

Ethernet Network Networking Application 52

Dataversity

MARCH 28, 2024

In today’s fast-moving investment world, corporate and insurance asset owners are operating in the dark, hindered by the absence of a standardized industry benchmark for an overall asset performance assessment. Asset owners usually have many other responsibilities beyond managing portfolio strategies, affecting their ability to allocate time to comprehensively evaluate and optimize the performance of […] The post Unveiling the ROI Dilemma: How Data Blind Spots Impact Asset Owners’ Bottom L

Insurance 64

Insurance Education 64

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

Artificial Intelligence

Confluent

MARCH 25, 2024

Discover key organizational and technological considerations to successfully implement a data mesh. Download the new ebook for details.

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databricks

MARCH 26, 2024

As new Generative AI capabilities continue to emerge with heightened customer expectations, data modernization and migration to the cloud have become critical success.

Banking 98

Banking Cloud 98

UML Zone

MARCH 29, 2024

Stefan Hofer and Ashley Peacock explore various diagrams-as-code approaches, focusing on PlantUML, Structurizr, and Mermaid diagramming tools. Ashley emphasizes Mermaid’s GitHub integration and syntax similarities with PlantUML, making migration seamless. Structurizr’s specialization in the C4 model and its unique DSL is highlighted. The conversation touches on the ease of code refactoring using Mermaid, making it […] The post Creating Software Architecture with Modern Diagramm

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52

Dataversity

MARCH 26, 2024

Writing data to an AWS data lake and retrieving it to populate an AWS RDS MS SQL database involves several AWS services and a sequence of steps for data transfer and transformation. This process leverages AWS S3 for the data lake storage, AWS Glue for ETL operations, and AWS Lambda for orchestration. Here’s a detailed […] The post Integrating AWS Data Lake and RDS MS SQL: A Guide to Writing and Retrieving Data Securely appeared first on DATAVERSITY.

Education 64

Education 64

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

Application