This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
An Exchange database plays a vital role in the functioning of an organization. It stores all the critical information, including emails, contacts, and calendars. However, failure can occur for multiple reasons, such as power failure, virus and may cause the Exchange database can become corrupted, leading to data loss and other issues. In such cases, The post A Beginner Guide to Recover Exchange Database appeared first on Faris Malaeb.
Ray is a prominent compute framework for running scalable AI and Python workloads, offering a variety of distributed machine learning tools, large-scale hyperparameter.
We kicked off this year by introducing our vision for transparent pricing that would make it as frictionless as possible for companies of all sizes to get started with product analytics. The problem we’ve seen across B2B software at large is that vendors hide their pricing, forcing expensive discovery calls and negotiations that waste time and leave customers questioning whether they’re getting a good deal (and they’re often not).
Technical leaders must be able to communicate with business stakeholders to effectively design software solutions that meet the business needs and stay within an established cost threshold. Making architectural decisions requires understanding the desired quality attributes that will affect trade-off discussions between technical and non-technical stakeholders.
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
Learn the what, how, and why for multi-geo replication. In this post, we’ll share the best tools, practices, and patterns for planning geo-replicated Kafka deployments.
Spark Structured Streaming is the widely-used open source engine at the foundation of data streaming on the Databricks Lakehouse Platform. It can elegantly.
Agile practices on their own are no guarantee of fast flow. You also need a planned architecture that enables team autonomy and supports rapid, iterative delivery.
100
100
Sign up to get articles personalized to your interests!
IT Networking Pro Today brings together the best content for advertising professionals from the widest variety of industry thought leaders.
Agile practices on their own are no guarantee of fast flow. You also need a planned architecture that enables team autonomy and supports rapid, iterative delivery.
A cornerstone of network observability is the ability to ask any question of your network. That means having an unbound capacity to explore the tremendous amount and variety of network telemetry you collect. It means seeing trends and patterns from a macro level, but it also means getting very granular to pursue any line of analysis of your data. Collecting information from flow records, SNMP, streaming telemetry, BGP, eBPF, and so on is indeed very important.
ChatGPT is getting a lot of press right now and has catapulted artificial intelligence (AI) into the eyes of the general public in a very big way. While it isn’t the first generative AI, it achieved a surprisingly fast rate of adoption and is presenting an interesting look into the future of AI. Some people are […] The post What Happens When ChatGPT Becomes Monetized or Goes Away?
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.
I love the term “Zero Copy Integration.” I didn’t come up with it, it was the Data Collaboration Alliance,[1] that came up with that one. The Data Collaboration Alliance is a Canadian based advocacy group promoting localized control of data along with federated access. What I like about the term is how evocative it is.
DevOps teams and site reliability engineers (SREs) deal with code daily. Doing so teaches them to scrutinize their world, make astute observations, and draw unexpected connections. After all, although highly logical and mathematical in nature, software development is, at least in part, art form. Unconvinced by that statement? Consider the parallels between history’s most remarkable […] The post What Architecture Can Teach Us About Self-Healing Systems appeared first on DATAVERSITY.
While microservices architectures are well established for the back-ends of software systems, the same cannot be said for front-ends. Interactive microservices are based on a new type of web API that Qworum defines, the multi-phase web API, where the endpoint calls may involve more than one request-response pair, also called a phase.
This post is a continuation of the Disaster Recovery Overview, Strategies, and Assessment and Disaster Recovery Automation and Tooling for a Databricks Workspace.
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.
Marcus Greer, a software engineer in the Cloud Manageability organization and systems their businesses depend on. Learn more about Marcus and hear about how his love of distributed systems engineering led him to Confluent.
Data breaches, in case you hadn’t noticed, are all the rage. In today’s world, when smart telephones are all the rage, it’s no surprise that smart technology is being adopted by business as well.
A wave of layoffs hit the software industry and changed the definition of tech culture. This article explores the situation across multiple tech companies, and the diverse choices made to support employees who survived, and those they had to say good-bye to. It provides suggestions for those of us who have stayed behind, and how to rebuild culture in our tech teams.
On Heavy Networking today we look at a home lab running VMware products including NSX, as well as infrastructure-as-code products Terraform, Packer, and Ansible. These use cases create a different hardware demand than virtualized network operating system images. Guest Maarten Van Driessen explains it all, including how he saves money on lab gear. On Heavy Networking today we look at a home lab running VMware products including NSX, as well as infrastructure-as-code products Terraform, Packer, an
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
Perhaps the largest challenge for modern data teams is gaining and retaining trust. Insights without truth are worthless, so trustworthy results must come first.
“There is nothing new under the sun.” Ecclesiastes 1:9 I know this biblical quote has serious implications. But here, I cite it only in the context of what I expected to be true about data. I’ve reached that well-seasoned stage of my data governance career where I continuously run into the same problems and challenges.
Have you ever waited for that one expensive parcel that shows “shipped,” but you have no clue where it is? The tracking history stopped updating five days ago, and you have almost lost hope. But wait, 11 days later, you have it at your doorstep. You wished the traceability could have been better to relieve […] The post Observability: Traceability for Distributed Systems appeared first on DATAVERSITY.
“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.
The project management profession, like many others, faces an emergent threat from artificial intelligence (AI)-based technologies. Project managers are likely to experience a major upheaval during the 2020s. Gartner has predicted that by 2030, upwards to 80% of project management work will be automated by artificial intelligence (AI).
Our world is hybrid and becoming increasingly digitized – a study from McKinsey suggests that the pandemic accelerated companies’ adoption of digital or digitally enabled products by seven years. The ability to connect with one another like never before is exciting, but those connections don’t come without their challenges. For example, each new device communicating with the […] The post For Successful Transformations, CIOs Must Evolve appeared first on DATAVERSITY.
Industry 4.0 is revolutionizing the manufacturing industry as we are witnessing numerous innovative technologies such as AI, IoT, and Robotic Process Automation (RPA) helping manufacturers enhance their supply chain, logistics and production lines. While we see these operations evolving into smart factories, the industry still faces challenges that could adversely impact its ability to realize the full potential of Industry 4.0.
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
We talk a lot about automation and orchestration and how they can change your network strategy and smooth network workflows. But not everybody wants to sit around writing code and building test labs. Greg and Johna talk with Josh Stephens and Chanoch Marmorstein from sponsor BackBox about its network automation software, how it fits into a network operations strategy, and how BackBox focuses on the network engineer.
There’s been a lot of Chat about ChatGPT, the new AI chatbot being developed by a company called OpenAI. Indeed, people seem to be talking about little else, as far as I can see. So, let me put in my two cents worth here, for public consumption and consideration.
Have you ever waited for that one expensive parcel that shows “shipped,” but you have no clue where it is? The tracking history stopped updating five days ago, and you have almost lost hope. But wait, 11 days later, you have it at your doorstep. You wished the traceability could have been better to relieve […] The post Observability: Traceability for Distributed Systems appeared first on DATAVERSITY.
Who needs luck on March 17? St. Patrick’s Day events are sure bets for anyone hosting events. Whether you’re hosting a pub crawl or a Guinness appreciation brunch, a river-dying watch party or an Irish trivia night, your St. Patrick’s Day events are big business. (Unsurprisingly, St. Patrick’s Day is the most popular drinking holiday.
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
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
130 
Let's personalize your content