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27 May

Introduction to Time Series Analysis with Python

stp2y0 CommentsNewscoding, community, development, engineering, inclusive, software

Introduction:Time series analysis is a powerful tool for studying and predicting patterns in data that change over time. With the increasing availability of data and advancements in technology, it has become an essential skill for data analysts and researchers across various fields. Python, being a versatile and popular programming language, offers a wide range of tools and libraries for time series analysis. In this article, we will discuss the advantages, disadvantages, and features of conducting time series analysis with Python. Advantages:Python offers a user-friendly and efficient environment for time series analysis, as it allows for easy data manipulation, visualization, and…

27 May

Qualtrics generative AI gives surveys a real-time twist – SiliconANGLE

stp2y0 CommentsChat-GPTPaul Gillin, Qualtrics generative AI gives surveys a real-time twist, SiliconANGLE

Today, Qualtrics International Inc. is introducing three new features to its line of customer experience measurement applications that incorporate generative artificial intelligence capabilities. They include a feature that makes it possible for anyone in an organization to easily ask questions and get feedback on customer opinions, survey customization based on responses and intelligent summaries that provide feedback without compromising the confidentiality of individuals. The capabilities are embedded in Qualtrics’ three product suites – XM for Customer Experience, XM for Employee Experience and XM for Strategy + Research. Qualtrics said they’re intended to enable companies to predict customer needs, address employee…

27 May

How Capital One leverages data products to drive value – SiliconANGLE

stp2y0 CommentsGenAISiliconANGLE, Unpacking Capital One's approach to maintaining data and turning it into a product, Victor Dabrinze

Data is the backbone of today’s enterprise. As the era of data products unfolds, companies face the mounting challenge of managing it in large volumes while ensuring control and sustained usability. Capital One Financial Corp. is leading the way as a financial industry example, orchestrating a symphony of data products and platforms to fuel its decision-making engine. “Data products are so much at the heart of what our team gets to work on for Capital One,” said Christina Egea (pictured), vice president of Enterprise Data product management at Capital One. “For us, data products at their core [means] treating data itself as a product, applying product…

27 May

I’m a Google product manager who mentors 10 people a month. Here’s how I pick mentees, based on their messages and attitude.

stp2y0 CommentsRAG models

This as-told-to essay is based on a conversation with Sonakshi Pandey, a cloud computing product manager at Google in Seattle. It has been edited for length and clarity. Business Insider has verified her employment history.I was three years into my career as a software engineer when I realized I wanted to challenge myself.I loved coding but was keen on a role that was less desk-bound and encouraged me to meet people and speak in public, something that made me anxious because I have always been an introvert.I found that a solution architecture role would be a good entry point, and…

27 May

Data Machina #240

stp2y0 CommentsViral News

Foundation Models, Transformers and Time-Series. Statisticians and econometricians have been searching for the Holy Grail of time-series forecasting (TSF) for more than 40 years. “Classical” models like ARIMA still work remarkably well in some TSF scenarios. But today, the cool stuff is all about transformer-based, DL & foundation models for TSF. How “good” are these new DL models for TSF? How do we evaluate these models? Do these new models really achieve SOTA performance as some papers claim? Are DL researchers cherrypicking ts datasets to easily fit a SOTA TSF DL model?...Real world time-series data is complex, messy, and it…

27 May

Shut the back door: Understanding prompt injection and minimizing risk

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Join us in returning to NYC on June 5th to collaborate with executive leaders in exploring comprehensive methods for auditing AI models regarding bias, performance, and ethical compliance across diverse organizations. Find out how you can attend here. New technology means new opportunities… but also new threats. And when the technology is as complex and unfamiliar as generative AI, it can be hard to understand which is which. Take the discussion around hallucination. In the early days of the AI rush, many people were convinced that hallucination was always an unwanted and potentially harmful behavior, something that needed to be…

27 May

Xi’s China EV Dream Came True. 10 Years On, Walls Are Going Up

stp2y0 CommentsRAG models

Ten years ago almost to the day, while checking out a handful of luxury sedans from one of China’s largest automakers SAIC Motor Corp., President Xi Jinping gave a pivotal speech that would set China on the course to dominate the electric vehicle industry. Source link lol

27 May

Research Survey: Productivity benefits from Databricks Assistant

stp2y0 CommentsViral News

In the fast-paced landscape of data science and engineering, integrating Artificial Intelligence (AI) has become integral for enhancing productivity. We’ve seen many tools emerge and transform the lives of data practitioners, making complex tasks easier and encouraging innovation. When we launched Databricks Assistant in Public Preview in July of 2023, we designed it exclusively for streamlining efficiency amongst data scientists, analysts, and engineers. To better understand how well we’re achieving this goal, we decided to survey some of our top users across multiple organizations, varying in experience. Purpose of the SurveyTo better understand Databricks Assistant’s impact on data professionals, we meticulously…

27 May

From garage to global: new program fast-tracks Ukrainian defence startups

stp2y0 CommentsNews

A new defence tech initiative, the Defenсe Builder Accelerator, has launched in Ukraine. It's a four-month intensive training program designed for Ukrainian defence startups to secure the first investments and transition from "garage" production to creating a tech company. Specifically, the program aims to enable the development of technologies tailored to the needs of Defence Forces that meet real battlefield requirements. After completing the program, startups gain access to capital and investors. The accelerator was founded by Ivan Kaunov (CEO), an officer of the Armed Forces of Ukraine, and Kateryna Bezsudna (COO). Before the accelerator, they launched their own defence startup,…

26 May

Google Is Already Jamming Advertisements Into Its Crappy AI

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Get ready for Google Search to be even more unuseable.'Ad EnoughIt was bad enough that Google decided to include "AI Overviews" in search results, watering down useful links with amalgamated garbage. But now, the tech monolith is cranking up the slop machine into another gear.On Tuesday, Google announced that those AI Overviews — already the subject of ridicule for mishaps like recommending people change their car's blinker fluid — will start including shopping ads, in one of the company's first attempts to monetize its AI offerings while trying to protect its biggest cash cow, search ad revenue, against the rising…