Databricks MLOps: Simplifying Your Machine Learning Operations
See why HatchWorks AI partnered with Databricks to help businesses unify data, improve AI readiness, and scale smarter with a powerful data platform.| HatchWorks AI
Last Updated on September 4, 2025 by Editorial Team Author(s): Tobi Beck Originally published on Towards AI. Single AI agents are hitting enterprise limits, but multi-agent workflows unlock 3–5x better performance through specialized collaboration — if you solve the data foundation challenge first. Source: Image by the author While most enterprises are still figuring out single-agent implementations and “basic” AI workflows, early adopters are already discovering fundamental limitatio...| Towards AI
The main driver of modern civilization is manufacturing, which uses labor, equipment, tools, and procedures. In a competitive world, all of the factors mentioned above are open to modification for […] The post Smarter Factories: The Role of Data Science in Modern Manufacturing appeared first on Datafloq.| Datafloq
In a world increasingly driven by data, organizations must rely on robust, scalable, and secure platforms that underpin analytics, AI, and operational intelligence. Developing such platforms requires deep expertise in data engineering, modern cloud architectures, integration, API design, and domain-specific compliance. As a result, many businesses partner with specialized data... Read more » The post Top 5 Data Platform Development Companies Across the World appeared first on Big Data Analyt...| Big Data Analytics News
In the modern enterprise landscape, data is not just an asset—it’s the foundation for growth, efficiency, and competitive advantage. Organizations today generate massive volumes of structured and unstructured information, but without the right tools and expertise, that data often remains underutilized. This is where specialized firms offering big data development... Read more » The post 10 Best Big Data Development Firms for Enterprises appeared first on Big Data Analytics News.| Big Data Analytics News
See why HatchWorks AI partnered with Databricks to help businesses unify data, improve AI readiness, and scale smarter with a powerful data platform.| HatchWorks AI
Databricks & Generative AI: Learn how to transform data into intelligent solutions with large language models, RAG, and scalable AI workflows.| HatchWorks AI
Your AI platform sends a notification that says, “I have detected an anomaly in Market 26. Recent weather events have resulted in supply chain issues that must be addressed. I have adjusted our marketing investments and re-routed supply logistics. I will report back in 14 days with results and next steps.” Who gets this notification? The CMO? The CFO? The CEO? The board? The investors? Let's explore. The post Winning the Race to the End State originally appeared here on Shelly Palmer| Shelly Palmer
For some housekeeping, if you are not signed up, also make sure to sign up for the RSS feed of my crime de-coder blog. I have not been cross posting here consistently. For the last few posts: Using…| Andrew Wheeler
Transform your data workflows with this comprehensive guide to building enterprise-grade automation pipelines using n8n's visual workflow platform.| KDnuggets
The latest Triennale International Exhibition explores global imbalances through bold installations, data storytelling and visionary ideas It’s no news that political and biological inequalities are part of our daily lives, but can …| COOL HUNTING®
So What? Marketing Analytics and Insights Live airs every Thursday at 1 pm EST. You can watch on YouTube Live. Be sure to subscribe and follow so you never miss an episode! In this episode of So What? The Trust Insights weekly livestream, you’ll learn to revamp case studies with the power of generative AI. You discover [...]Read More... from So What? Summer Makeover Series: Using Generative AI to revamp case studies| Trust Insights Marketing Analytics Consulting
This data was originally featured in the June 18th, 2025 newsletter found here: INBOX INSIGHTS, June 18, 2025: When AI-First Goes Wrong Part 4, Helping AI Read Text with Markdown In this week’s Data Diaries, let’s talk about another AI data format. Previously, we talked about how to convert CSV files (tables) into JSON (written [...]Read More... from AI Data Format: Helping AI Read Text with Markdown| Trust Insights Marketing Analytics Consulting
This data was originally featured in the June 4th, 2025 newsletter found here: INBOX INSIGHTS, June 4, 2025: When AI-First Goes Wrong Part 2, Changing Data Languages In this week’s Data Diaries, let’s talk about a specific format problem with generative AI and data. Changing data languages. The most common form of generative AI is [...]Read More... from Changing Data Languages| Trust Insights Marketing Analytics Consulting
This data was originally featured in the May 21st, 2025 newsletter found here: INBOX INSIGHTS: Fear-Based Management Failures, Economic Indicators In this week’s Data Diaries, let’s pick up where we left off two weeks ago with a look at leading economic indicators. There are two kinds of economic indicators, leading and lagging. Lagging indicators tell [...]Read More... from Economic Indicators| Trust Insights Marketing Analytics Consulting
This data was originally featured in the May 14th, 2025 newsletter found here: INBOX INSIGHTS, May 14, 2025: Strengthening Your Foundation, Ethics in AI In this week’s Data Diaries, let’s talk about AI ethics. I was teaching at Harvard Business School last week, and one of the students in my guest lecture asked what I [...]Read More... from Ethics in AI| Trust Insights Marketing Analytics Consulting
This data was originally featured in the May 7th, 2025 newsletter found here: INBOX INSIGHTS, May 7, 2025: AI Integration Strategy Part 5, Sustainability in AI In this week’s Data Diaries, let’s talk about sustainability. One of the questions that keeps coming up over and over again at events like the two-day workshop I just [...]Read More... from Sustainability in AI| Trust Insights Marketing Analytics Consulting
This data was originally featured in the April 26th, 2025 newsletter found here: INBOX INSIGHTS, April 23, 2025: AI Integration Strategy Part 3, AI Data Privacy In this week’s Data Diaries, let’s talk about AI data privacy. I recently had the opportunity to speak at the Trace One User Conference in Miami, and one of [...]Read More... from AI Data Privacy| Trust Insights Marketing Analytics Consulting
INBOX INSIGHTS: AI Integration Strategy Part 5, Sustainability in AI (2025-05-07) :: View in browser 👉 Take our new course, Generative AI Use Cases for Marketers, now live! Watch This Newsletter Listen to the audio version here as an MP3. Approaching AI Integration Strategically – Part 5: Now What? Putting It All Together A marketing [...]Read More... from INBOX INSIGHTS, May 7, 2025: AI Integration Strategy Part 5, Sustainability in AI| Trust Insights Marketing Analytics Consulting
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss navigating the pressure of AI transformation and competitive parity. You’ll learn why chasing AI trends without a clear purpose can harm your business. You’ll discover how to distinguish between merely optimizing current operations and driving real innovation. You’ll understand the importance [...]Read More... from In-Ear Insights: Generative AI Transformation vs. Optimization| Trust Insights Marketing Analytics Consulting
INBOX INSIGHTS: AI Integration Strategy Part 3, AI Data Privacy (2025-04-23) :: View in browser 👉 Take our new course, Generative AI Use Cases for Marketers, now live! Watch This Newsletter Listen to the audio version here on Substack. Approaching AI Integration Strategically – Part 3: Implementation I once sat through a painful meeting where [...]Read More... from INBOX INSIGHTS, April 23, 2025: AI Integration Strategy Part 3, AI Data Privacy| Trust Insights Marketing Analytics Consulting
This content was originally featured in the March 19th, 2025 newsletter found here: INBOX INSIGHTS, March 19, 2025: Data Governance, Managing AI News Data Governance: The Step You Can’t Skip Picture this: Your demand gen team had just finished designing what you thought was the perfect ABM campaign. You’ve spent weeks aligning with sales on [...]Read More... from Data Governance| Trust Insights Marketing Analytics Consulting
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss Retrieval Augmented Generation (RAG). You’ll learn what RAG is and how it can significantly improve the accuracy and relevance of AI responses by using your own data. You’ll understand the crucial differences between RAG and typical search engines or generative AI [...]Read More... from In-Ear Insights: What is Retrieval Augmented Generation (RAG)?| Trust Insights Marketing Analytics Consulting
An introduction to the new Results Table integrated into the output cell of Notebooks, powered by the VS Code extension called Data Wrangler. The post Announcing the Data Wrangler powered Notebook Results Table appeared first on Microsoft for Python Developers Blog.| Microsoft for Python Developers Blog
By Kate Rich The eScience Staff Spotlight is a series featuring individual members of our team and their career journey. This week’s featured staff member is Anthony Arendt, our Director of Community Engagement Programs and Senior Data Science Fellow. Anthony knows the importance of hard earned data all too well. As a Research Professor at […]| eScience Institute
The admissions process for Flatiron School includes an assessment test. Here's insider tips on how to pass the admissions assessment. The post Insider Guide: Flatiron School’s Admissions Assessment appeared first on Flatiron School.| Flatiron School
Docker has transformed how R developers build, deploy, and share data science applications, Shiny dashboards, and analytical workflows. With R’s growing adoption in enterprise environments and the rise of containerized data science, mastering Docker for R development is essential for modern statisticians, data scientists, and R developers. Whether you’re containerizing Shiny applications, Plumber APIs, R […]| Collabnix
Dr. Kari Jordan from The Carpentries talks about her “aha moment” discovering open source and how teaching Zumba helps her create more welcoming tech communities. Discover the importance of succession planning in creating contribution pathways and the power of grassroots to help keep you going, because open source work is too important to stop.| Open Source Stories
The Internet of Things (IoT) continues to revolutionize industries by connecting devices, systems, and people in real time. However, the real business value emerges not just from collecting data, but from analyzing it to gain actionable insights. This is where IoT analytics companies come into play — combining big data,... Read more » The post Top IoT Analytics Firms Combining Big Data, AI & Edge Computing appeared first on Big Data Analytics News.| Big Data Analytics News
Reading Time: 4minutesImagine you’re a financial analyst at a pension fund, racing against the clock to deliver a major corporate client’s portfolio breakdown before fiscal year end. You’re juggling CRM data, financial market reports, and a tangle of Excel exports. Or picture... The post Beyond the Lakehouse: Denodo’s RAG-Driven Data Revolution appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.| Data Management Blog – Data Integration and Modern Data Management Articles...
In this post, I’ll be covering the 2024 Gartner® Critical Capabilities for Data Integration Tools report, in which Denodo was again recognized as a Leader for five years in a row.| Data Management Blog - Data Integration and Modern Data Management Articles, ...
(2 min. read)| Innovation District
Since you're probably a data person, you're probably wondering "how did you calculate that?" Unfortunately, not very efficiently! Podbean, my platform for the Experiencing Data podcast, does not provide very good analytics information, so these stats are simply based on the # of downloads in the calendar year 2024. This doesn't account for when the ... Read more The post My 10 Most Popular Podcast Episodes of 2024 (for Experiencing Data) first appeared on Designing for Analytics (Brian T. O'N...| Designing for Analytics (Brian T. O'Neill)
Rather listen to this? I also recorded a 2-part podcast episode about this. Listen to Ep. 147 Let's look beyond the “rewrite with AI” button and chatbots! Generative AI in 2024 is all the rage and for the most part, to date, I haven’t seen or heard about many great examples of these making a ... Read more The post UI/UX Design Considerations for LLMs in Enterprise Applications in 2024 first appeared on Designing for Analytics (Brian T. O'Neill).| Designing for Analytics (Brian T. O'Neill)
A simpler path to coding real-time web applications.| Towards Data Science
By Kate Rich The eScience Staff Spotlight is a series featuring individual members of our team and their career journey. This week’s featured staff member is Senior Social Scientist Anissa Tanweer. From field site to workplace, eScience has come to serve many different roles for Anissa over the years. Being a qualitative interpretivist researcher at […]| eScience Institute
KI kann sowohl Fehler erzeugen als auch helfen, sie zu vermeiden. Durch den Einsatz von KI-gestützten Werkzeugen können Prozesse optimiert, Programmierfehler gefunden und komplexe Daten analysiert werden. Unternehmen, die KI nicht in ihre Prozesse integrieren, riskieren im Wettbewerb einen Nachteil gegenüber innovativ agierenden Firmen.| Dr. DSGVO
Author Dawn Foster View all posts| CHAOSS
Discover the key differences between Computational Data Science and traditional Data Science. Learn how each field approaches data analysis, modeling, and real-world applications to help you choose the right path for your career or project.| Big Data Analytics News
This is a copy of a two-part post on the Optimism Governance Forum. You can find the original post here.| Open Source Observer Blog
This is a copy of a two-part post on the Optimism Governance Forum. You can find the original post here.| Open Source Observer Blog
The first (of six) periods of rewards for Season 7 Retro Funding were just announced. Here's the official post; you can view the results on OP Atlas. This marks a significant milestone in Optimism’s journey toward scalable, transparent, and data-driven token allocations.| Open Source Observer Blog
We're excited to introduce Pyoso, a new Python library that makes it easy to query and analyze open source software data and metrics from OSO. Whether you're a data scientist, researcher, or builder, Pyoso gives you direct access to all our production data sets from your favorite analysis environment.| Open Source Observer Blog
Octant is an important funding partner for OSO and dozens of other open source projects in the Ethereum ecosystem. Since 2023, Octant has contributed approximately $5 million (in ETH) to over 60 projects.| Open Source Observer Blog
OSO is partnering with Gitcoin to enhance data infrastructure and analytics capabilities on top of Grants Stack.| Open Source Observer Blog
This is the final post in our Opening up the Ballot Box series for 2024. Changes planned for Retro Funding 2025 will likely reshape how we analyze voting behavior.| Open Source Observer Blog
Optimism’s Retro Funding Round 5 (RF5) just wrapped up, with 79 projects (out of ~130 applicants) awarded a total of 8M OP for their contributions to Ethereum and the OP Stack. You can find all the official details about the round here.| Open Source Observer Blog
The voting results for Optimism's Retro Funding Round 4 (RF4) were tallied last week and shared with the community.| Open Source Observer Blog
This post is a brief exploration of the before-after impact of Optimism’s Retro Funding (RF) on open source software (OSS) projects. For context, see some of our previous work on the Optimism ecosystem and especially this one from the start of RF3 in November 2023.| Open Source Observer Blog
Voting for Optimism’s fourth round of Retroactive Public Goods Funding (“Retro Funding”) opened on June 27 and will run until July 11, 2024. You can check out the voting interface here.| Open Source Observer Blog
Filecoin’s first RetroPGF round ("FIL RetroPGF 1") concluded last week, awarding nearly 200,000 FIL to 99 (out of 106 eligible) projects.| Open Source Observer Blog
Open Source Observer is working with the Optimism Collective and its badgeholder community to develop a suite of impact metrics for assessing projects applying for Retro Funding 4.| Open Source Observer Blog
Reading Time: 8minutesNowadays, the term “RAG” is fairly well understood. Or is it? Many know that it stands for retrieval augmented generation, but recently I’ve encountered some confusion around the “R” (retrieval) aspect of RAG. I think that much of that confusion... The post The R in RAG appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.| Data Management Blog – Data Integration and Modern Data Management Articles...
Reading Time: 2minutesThe world of enterprise AI is entering a new phase—one defined not just by chatbots or single-step actions, but by intelligent agents capable of planning, reasoning, and taking action. This shift, from generative AI (GenAI) to agentic AI, represents a... The post Denodo Ushers in the Age of Agentic AI with MCP Server Support appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.| Data Management Blog – Data Integration and Modern Data Management Articles...
While Generative AI (GenAI) is grabbing headlines, a successful AI strategy in financial services must span the entire AI spectrum.| Data Management Blog - Data Integration and Modern Data Management Articles, ...
Easily one of the most common critiques I make when reviewing peer reviewed papers is the concept, the difference between statistically significant and not statistically significant is not itself s…| Andrew Wheeler
When Sebastian Manley completed his university degree, he was eager to take his skills to the next level, but he wasn’t sure how. Freshly graduated and seeking a path that| HyperionDev Blog
One question I often come across is how to best organize cross functional data science teams where engineers and data scientists are working closely together. Here is what I’ve seen to work well in practice.| Marginally Interesting by Mikio L. Braun
As machine learning is becoming more mainstream (well that’s already long past I guess) more and more teams who are new to ML are attempting to run data science projects. One of the most common mistakes is to think that ML is “just another library” so that people are approaching a data science project like … Continue reading Machine Learning As The Ultimate Test Driven Development→| Marginally Interesting by Mikio L. Braun
I’m re-reading Inspired by Marty Cagan lately and came across this quote: “To set your expectations, strong teams normally test many product ideas each week-on the order of 10 to 20 or more per week.” To be honest I was pretty shocked.| Marginally Interesting by Mikio L. Braun
People who ask me “how do you solve a certain project with machine learning” often expect some kind of a recipe as if they were baking a cake. I understand the expectation and often find myself try…| Marginally Interesting by Mikio L. Braun
My lesson of how blindly over-controlling for noise can erase the effects you are measuring| Towards Data Science
Despite the increasing adoption of Artificial Intelligence (AI) applications, most organizations are bound to see implementation challenges. One of the issues lies in the data itself. A recent survey showed 80% of companies believe their data is suitable for AI, but more than half are actually dealing with challenges like internal data quality and categorization […] The post AI-Ready Data: Characteristics, Challenges & Best Practices appeared first on Git for Data - lakeFS.| Git for Data – lakeFS
An AI Factory with data versioning doesn't just run smoother. It fundamentally changes how teams interact with their data. Read more.| Git for Data - lakeFS
Have recently participated in several projects that I think went well at the day gig – these were big projects, multiple parties, and we came together and got to deployment on a shortened timeline.…| Andrew Wheeler
At Tagetik inTouch 2025, the company presented its strategic focus on integrating AI into the CPM platform while advancing core functionalities.| BARC - Data Decisions. Built on BARC.
Reading Time: 4minutesEver since the launch of the Denodo AI SDK, we have been overwhelmed and pleasantly surprised by the strong interest and rapid adoption by our customers. This validates our belief that a robust data foundation is critical for AI success,... The post From Chatbots to Agents: Navigating the Future of AI appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.| Data Management Blog – Data Integration and Modern Data Management Articles...
By Kate Rich The eScience Staff Spotlight is a series featuring individual members of our team and their career journey. This week’s featured staff member is Data Scientist Curtis Atkisson. Prior to becoming a researcher of human behavior, Curtis explored human nature through a different medium. After graduating from high school at the age of […]| eScience Institute
Creating interpretable rules to characterize the identified anomalies| Towards Data Science
In this blog, you would get to know the essential mathematical topics you need to cover to become good at AI & machine learning. These topics are grouped under four core areas including linear algebra, calculus, multivariate calculus and probability theory & statistics. Linear Algebra Linear algebra is arguably the most important mathematical foundation for machine learning. At its core, machine learning is about manipulating large datasets, and linear algebra provides the tools to do this ef...| Analytics Yogi
The regex in this post, explained via Regex101 Some applications can log multiple lines per log entry. PostgreSQL is a good example, when statement logging is turned on. Here's a bare bones example with log_statement set to all: 2025-06-23 22:00:00.000 CEST [6316] LOG: statement: select *| Ian's notes
The insurance industry has a longstanding reputation for meticulous risk assessment, but the integration of artificial intelligence (AI)| Indico Data
The motivation here, prompted by a recent question Abigail Haddad had on LinkedIn: For the machines, the context is hosting a dataset of 150 million rows (in another post Abigail stated it was around 72 gigs). And you want the public to be able to make ad-hoc queries on that data. Examples where you may […]| Andrew Wheeler
I have had this thought in my head for a while – criminology research to me is almost all boring. Most of the recent advancement in academia is focused on making science more rigorous – more open methods, more experiments, stronger quasi-experimental designs. These are all good things, but to me still do not fundamentally […]| Andrew Wheeler
The end goals I want for a social media site are: promote my work see other peoples work Social media for other people may have other uses. I do comment and have minor interactions on the social media sites, but I do not use them primarily for that. So my context is more business oriented […]| Andrew Wheeler
Let’s be real: no single language rules the world anymore.| SAS Voices
Creating multi-agent apps is simple with this open-source SDK, and it can be used with any OpenAI-compatible LLM| Towards Data Science
Christopher Penn with Trust Insights dives into the world of dark data in this week's data diaries.| Trust Insights Marketing Analytics Consulting
To be a truly autonomous organization, the principles of OneOffice hold truer than ever: workflows need to execute in real-time between customers and employees - and engage partners in your ecosystem. OneOffice is about understanding and discovering the data you must have to win in your market - right now in real-time - as the market environment keeps changing.| Horses for Sources | No Boundaries
Alex Tropsha is part of a multi-million dollar, federally funded project using machine learning to identify new uses for existing drugs.| College of Arts and Sciences
GenAI is no longer a novelty or optional experiment for financial institutions. It is becoming the cornerstone of next-gen transformation.| Data Management Blog - Data Integration and Modern Data Management Articles, ...
There’s a growing problem that innovation alone can’t solve.You can’t govern smart or build smart if your data isn’t smartly connected.| Data Management Blog - Data Integration and Modern Data Management Articles, ...
GenAI isn’t just about smarter chatbots — it’s about transforming how teams turn ideas into production-grade applications, faster than ever.| Data Management Blog - Data Integration and Modern Data Management Articles, ...
GenAI is changing how your teams make decisions, interact with data, and deliver value to customers.| Data Management Blog - Data Integration and Modern Data Management Articles, ...
By Kate Rich The eScience Staff Spotlight is a series featuring individual members of our team and their career journey. This week’s featured staff member is Bryna Hazelton, our Director of Research Programs and Senior Research Scientist. Given her upbringing, some might find it unsurprising that Bryna developed a passion for research. She grew up […]| eScience Institute
You're running late for dinner, stuck in traffic, and realize you forgot to make a reservation. Instead of frantically switching between OpenTable, Google Maps, your calendar app, and your messaging app, you simply say: "Find me a table for two at the highest rated Italian restaurant in Midtown at 7:30 PM and text Sarah the details." This exists today.| Shelly Palmer
Is AEO (Answer Engine Optimization) real? Yes. It’s not a theory anymore. It’s a mandate. And if your content isn’t optimized for AI-powered search, you’re already behind. Answer engines (whether embedded in voice assistants, AI chat interfaces, or traditional search) are rewriting the rules of discoverability. This is no longer about manipulating ranking systems with keywords. It’s about being structurally legible to machines that serve answers, not blue links. This tactical AEO pl...| Shelly Palmer
We’re thrilled to announce that Indico Data has been named a reference vendor in the... The post Indico Data Earns Spot in Gartner® Hype Cycle for AI, 2025 Following Agentic Decisioning Platform Launch appeared first on Indico Data.| Indico Data
The insurance industry has a longstanding reputation for meticulous risk assessment, but the integration of artificial intelligence (AI)| Indico Data
Imagine you're presenting quarterly sales figures to your team. You display a bar chart showing a 15% increase in sales. Impressive, right? But as you glance around the room, you notice glazed eyes and distracted expressions. The numbers are there, but the impact is missing.Now, picture this: You begin by narrating how your team overcame + Read More The post Data Visualization That Tell Stories: A Practical Guide appeared first on Dataaspirant.| Dataaspirant
If you do not know Stephan Steinbach’s blog Alternative Transport, check it out. Among subjects that interest me, Stephan covers data visualization. At one time, a picture from his post on lexical distance among languages of Europe went viral. Since then, he has been pondering ways to improve the illustration by including more languages, positioning […]|
I was unable to find a simple and efficient implementation of PageRank. As a consequence, I wrote this post and my own Python code that within ten seconds can compute the PageRank of the Polish Wikipedia containing 17,880,897 links between 1,113,939 articles. For the curious, here are the top ten articles. Title of the article […]|
Discover what data discovery is, how it works, its benefits, challenges, and best practices to turn raw data into strategic, actionable insights.| Git for Data - lakeFS
Learn Causal Structures and make inferences with Bayesian Methods: Python Tutorial| Towards Data Science
Drug Discovery and Development covers strategies and technologies related to pharmaceutical research and development and drug formulation.| Drug Discovery and Development
The updated data science curriculum is designed to meet the rapidly changing needs of today’s data-driven world.| UW Online Collaboratives
Modern data scientists combine technical skills with business acumen to drive data-driven decisions The field of data science has evolved dramatically, transforming how organizations handle large datasets and make business decisions. Today’s data scientist job description extends far beyond traditional statistical analysis, encompassing everything from machine learning algorithms to business intelligence. Whether you’re pursuing a […]| Flatiron School
An LLM in 2018 would not have trivialized a complex project, although it could have enhanced the final solution| Towards Data Science
This BARC analyst perspective examines the Salesforce-Informatica acquisition, looking at impacts on existing Informatica customers, data & AI leaders and teams.| BARC - Data Decisions. Built on BARC.
Quantum Computing is a new course being offered by The University of Tulsa’s College of Engineering & Computer Science beginning in fall 2025. “We are excited by this new opportunity for students to study at the bleeding edge of technology,” said John Hale, chair of UTulsa’s Tandy School of Computer Science. “Quantum promises to revolutionize […]| The University of Tulsa
Log in to a Streamlit app with a Google email account| Towards Data Science
