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
At the IMPACT Summit yesterday, I shared our Top 10 Trends for Data in 2024. LLMs Transform the Stack : Large language models transform data in many ways. First, they have driven an increased demand for data and are causing a complete architecture inside companies. Second, they change the way that we manipulate data.
This post is an adaptation of a talk I recently gave at the Amazon Web Services (AWS) community day event in Dublin about the technical strategies I’ve experienced that don’t work and the ones that have helped us to grow and scale at Intercom. At Intercom, we’ve found success running Lambda as glue code between AWS services.
Whether it’s selling ads or storing data, The Four have become the nerve center of businesses all across the world and therefore take a cut from almost every business, regardless of whether it’s winning or losing its own particular battle for market share. They are called product engineers. Best in class public companies (e.g.
Tabular is a compelling data lakehouse solution, meaning it brings data warehouse functionality (SQL semantics + ease of use) to the data lake (cost-efficient and scalable). If you want your data platform to run like those at Netflix, Salesforce, Stripe, AirBNB and many others (i.e. Let's dive in.
It’s wild how many software-engineer-focused products just land them on a blank screen after signup and expect them to click around and figure out how to connect it to their Kubernetes instance, or whatever. If your product’s value isn’t apparent very quickly, you’re in trouble. If so, expect a very small conversion rate.
And we need to find a way to acknowledge these folks, and so I talk to Rick Boone, Senior SoftwareEngineer and Strategic Advisor to the Vice President of Infrastructure Engineering at Uber, who’s a great example of this. And one of the areas I work in is AWS cost management, and snacking there is so easy.
Table Of Contents As a softwareengineering leader, you know application security is no longer an activity that you can palm off to someone else. With the increasing number of sensitive data security breaches, it's essential to have the right automated application security tools in place to protect your software.
Engineer first. Data-driven. At least a Bachelor degree in softwareengineering. Exceptional proficiency in softwareengineering. Intuitive understanding of how to manipulate, analyze and interpret highly complex data. Experience with data pipelines, warehousing and reporting systems.
Regie uses AI to create inbound, outbound, and even follow-up sales campaigns faster using over a billion rows of performance data across 75 industries. Or which contracts say you can move this customer’s data to another infrastructure provider? So yeah, I mean, that’s exactly right.
Best of all, the types of smart people that you run into in tech run the gamut from highly technical softwareengineers, to massively creative designers and marketers, to analytical data wizzes and finance experts. There’s an awful lot of nuance here and the devil is in the details.
API vulnerability scanner API security testing ensures business data packets that move between two software applications and ip addresses are secure. When you perform API vulnerability analysis using API scanning tools, you aim to secure data packets in transit using HTTPS. Remember the infamous Equifax data breach in 2017?
Many companies are strategic consumers of open-source software as a means to reduce the burden on their softwareengineering team to build everything from the ground up. Functionally, it’s the same as running a data center, and the customer still shoulders the burden of running the infrastructure.
The company made a business intelligence tool that made it possible to visualize large data sets on a mobile device like an iPhone or iPad. Almost all tech companies struggle mightily to attract and hire great developers, so there’s enormous product market demand for any product that can help with technical hiring.
She holds a BS in Chemical Engineering from the University of Texas at Austin and lives in Los Altos, California with her two children. People buy from people – who can analyze big data. Over 550 client engagements designing and implementing data-driven and technology-enabled revenue generation. Adrienne Greenberg.
We organize all of the trending information in your field so you don't have to. Join 80,000+ 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.
Let's personalize your content