Sat.Dec 30, 2023 - Fri.Jan 05, 2024

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7 Great Embedded Analytics Solutions – Which Embedded Analytics Solutions Should You Use?

Seattle Data Guy

Big data is big business these days. Organizations that hope to get ahead in crowded markets must utilize data from a variety of often highly disparate sources to understand how they’re performing and what customers are saying about them. However, data without the right analysis and reporting tools is just a waste of digital storage… Read more The post 7 Great Embedded Analytics Solutions – Which Embedded Analytics Solutions Should You Use?

Big Data 130
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Stream processing models

Waitingforcode

If you're interested in stream processing, I bet your thinking is technology-based. It's not wrong, after all, the ability to use a tool gives you and me a job. However, for a long-term consideration it's better to reason in terms of patterns or models. Being aware of a more general vision helps assimilate new tools.

Process 130
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Prompt Engineering 101: Mastering Effective LLM Communication

KDnuggets

This article serves as an introduction to those looking to understanding what prompt engineering is, and to learn more about some of the most important techniques currently used in the discipline.

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LLM Training and Inference with Intel(R) Gaudi(R) 2 AI Accelerators

databricks

At Databricks, we want to help our customers build and deploy generative AI applications on their own data without sacrificing data privacy or.

Building 140
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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Cutting Your Data Stack Costs: How To Approach It And Common Issues

Seattle Data Guy

I once had an engineer tell me that they essentially didn’t want to consider cost as they were building a solution. I was baffled. Don’t get me wrong, yes, when you’re building, you iterate and aim to improve your solutions cost. But from my perspective, I don’t think completely ignoring costs from day one is… Read more The post Cutting Your Data Stack Costs: How To Approach It And Common Issues appeared first on Seattle Data Guy.

IT 130
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2023 retrospective on waitingforcode.com

Waitingforcode

This is one of my favorite blog posts, the yearly retrospective. Every year I summarize what happened in the past 12 months and share with you my future plans. It's time for the 2023 Edition!

IT 130

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Data News — December 2023

Christophe Blefari

Hi, it's been a while since I last posted something here. Happy new year 🎉 I hope you haven't forgotten about me. A lot of things have been happening at the same time in my professional and personal life. To be honest, everything's been going well, but I've found it hard to find time to write among other things. And that's the problem.

Data 100
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5 Hard Truths About Generative AI for Technology Leaders

Monte Carlo

GenAI is everywhere you look, and organizations across industries are putting pressure on their teams to join the race – 77% of business leaders fear they’re already missing out on the benefits of GenAI. Data teams are scrambling to answer the call. But building a generative AI model that actually drives business value is hard. And in the long run, a quick integration with the OpenAI API won’t cut it.

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Polars vs Spark

Confessions of a Data Guy

The post Polars vs Spark appeared first on Confessions of a Data Guy.

Data 130
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Level 50 Data Scientist: Python Libraries to Know

KDnuggets

This article will help you understand the different tools of Data Science used by experts for Data Visualization, Model Building, and Data Manipulation.

Python 124
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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Cash Flow Sensitivity and Scenarios

FreshBI

Amidst the ebb and flow of revenues, expenditures, and accounts receivable/payable, accurately predicting and managing cash flow remains a significant challenge for businesses of all scales. Let’s make it dynamic and easy with Power BI. Sensitivity and Scenario Analysis 1) What is sensitivity analysis? Sensitivity analysis within cash flow management involves assessing how changes in specific variables impact the overall cash position.

BI 105
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Parameterized queries with PySpark

databricks

PySpark has always provided wonderful SQL and Python APIs for querying data. As of Databricks Runtime 12.1 and Apache Spark 3.4, parameterized queries.

SQL 108
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Future of Robotics: All You Need to Know in 2024

Knowledge Hut

We might picture sci-fi-inspired, humanoid automatons when we think about robots. Numerous types of robots are in use today, even though these particular ones are still largely imagined. However, what are robots? How will they alter the world, exactly? The future of robotics might be conducting operations from halfway across the world and visiting extra-terrestrial worlds in 2030.

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What Junior ML Engineers Actually Need to Know to Get Hired?

KDnuggets

This article will provided you with a better understanding of what skills are required for a junior ML developer to be considered for a job. If you are looking to land your first job, you should read this article thoroughly.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Cloud-Based Aboveground Biomass Mapping using Landsat and GEDI Data

ArcGIS

Process Landsat and GEDI datasets in the cloud and predict aboveground biomass for the state of Oregon using machine learning in ArcGIS Pro.

Cloud 110
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Architecting Global Data Collaboration with Delta Sharing

databricks

In today's interconnected digital landscape, data sharing and collaboration across organizations and platforms are crucial for modern business operations. Delta Sharing, an innovative.

Data 90
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Google Software Engineer Levels: Roles, Factors, And Pay

Knowledge Hut

With an exponential upsurge in the world's most profitable inventions, there is a massive requirement for a workforce of qualified and professional software engineers. Furthermore, with innovative and intuitive products like GSuite, Gmail, and Google Search, Google is everywhere. Hence, many engineering graduates aspire to work for Google after upskilling by enrolling in the Programming courses offered by KnowledgeHut.

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Data Cleaning in SQL: How To Prepare Messy Data for Analysis

KDnuggets

Want to clean your messy data so you can start analyzing it with SQL? Learn how to handle missing values, duplicate records, outliers, and much more.

SQL 104
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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Cybersyn Puts Detailed Data Sets at Decision-Makers’ Fingertips With Snowflake Native Apps

Snowflake

Your company collects huge amounts of data about everything from customer transactions to supplier contracts to system performance. This valuable resource becomes even more valuable when you combine it with data about financial market and economic trends, consumer spending, regional demographics and other elements that provide broader context and insights for your business decisions.

SQL 88
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A pair of sample tools to add or remove attachments by selection

ArcGIS

Learn more about quickly adding or removing attachments with selected features in an active map.

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Top 10 Python Libraries for Data Visualization

Knowledge Hut

In today’s age, a lot of data is being generated daily. Analyzing these data for certain patterns and trends in the raw format is challenging. Here’s how data visualization comes into play. Data visualization is the process of understanding the data in a more detailed way, using graphical representations such as graphs and plots. Data Visualization with Tableau Certification will equip you with critical skills and enable you to make organized pictorial representations, making them easy to unders

Python 98
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How Multimodality Makes LLM Alignment More Challenging

KDnuggets

The addition of multimodal abilities to ChatGPT via GPT-4 allows users to use images and text together, expanding its functions but posing new challenges. Aligning this mix of data demands careful curation and presents ethical considerations, requiring developers to obtain high-quality training data and navigate complex issues for ethical alignment.

IT 93
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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Approaching Generative AI With Eyes Wide Open 

Snowflake

Generative AI and large language models (LLMs) have been the overriding topic over the past year and a half, especially in the tech industry. Just look at the rise of ChatGPT, which saw about 100 million active monthly users in its first two months (in comparison, wildly popular Instagram took more than two years to hit that level). As gen AI centered itself in into nearly all our conversations, people have started thinking more and more about the possible implications of this technology—both po

Medical 77
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Enhanced Social Equity Analysis Solution Released

ArcGIS

Updates to the ArcGIS Solution help equity staff evaluate community conditions, analyze demographic data and promote racial equity initiatives.

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Why Should You Be Hired for This Internship? Top Answers

Knowledge Hut

Internships are the foundation of our careers. Why should you be hired for this role for an internship? This is one of the most significant and typical interview questions for an internship. Similar types of questions that an interviewer can ask are like "why should we hire you for the internship?", " Why should you be hired for this role internship" or "Why should we consider you for this internship".

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Using Lightning AI Studio For Free

KDnuggets

Use Lightning AI Cloud IDE for free to experiment, train, and deploy your AI models.

Cloud 127
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Precisely Women in Technology: Meet Deb Selland

Precisely

Representing and supporting women in technology is an integral part of the culture at Precisely. With a growing number of women joining the industry, it’s important to highlight all the opportunities that are available. The Precisely Women in Technology (PWIT) program was established to create a network of like-minded women who can support one another, offer mentorship, and learn from one another.

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The Show Must Go On: How Network Automation with Confluent Helps BT Stream TV Signals Across the UK

Confluent

Learn how BT broadcasts 95% of the TV signals in the UK using Confluent, which includesB BC 1, Radio 4, and the World Service.

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What is a Network Administrator? Skills, Roles, and Career

Knowledge Hut

As the internet has become an increasingly integral part of our lives, the need for someone to manage and oversee all data moving in and out of networks has become increasingly pressing. The network administrator is responsible for ensuring that all the data moving in and out of a network is doing so smoothly and efficiently. They work closely with network engineers to design and implement new network infrastructure and are always on hand to troubleshoot any issues that may arise.

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Run an LLM Locally with LM Studio

KDnuggets

Ever wanted to run an LLM on your computer? You can do so now, with the free and powerful LM studio.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.