Founder of @LeadershipData. Global Speaker. Leading Social & B2B Influencer of Data Science, AI, ML. PhD Astrophysics @Caltech. AAS Legacy Fellow (@AAS_Office)
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Articles by Kirk Borne
Kirk Borne, Ph.D.’s Post
I spy with my little eye! 👁️🗨️ The BBC built a wheeled robot disguised as elephant dung to film wildlife up close. The robot rolled alongside a group of elephants, allowing it to roll quietly alongside the animals without spooking them. It's 2026 and we have bots preparing to be elephant poop to shoot content! 💩 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news → ziegler.substack.com
Kirk Borne, Ph.D.’s Post
Here's the problem with the math puzzle posted down below all of my comments... There is not one single solution to a problem where you combine two numbers to get a new number, subject to only two constraints. The most common response from readers has been this: C=2*A*B=98, where A is the number in the upper left triangle, B is the number in the upper right triangle, and C is the number in the bottom triangle.
Women Were Computers Before Computers Were Machines
Women Were Computers Before Computers Were Machines This title was summarized by AI from the post below. Before computers were machines, they were women. Literally. "Computer" was a job title, and for much of the 20th century, the people doing that work were women with extraordinary mathematical talent. Computing was one of the few careers open to college-educated women at the time, alongside teaching and nursing. And these women made the most of it.
Introducing Catalog Federation for Apache Iceberg Tables in the AWS Glue Data Catalog
Looking back and looking forward — last week at #AWSreInvent2025, there were many great things to see and explore. As for me, I always look for what's new and forward-looking in the categories of AI, Machine Learning, Analytics Strategy, and the broader data ecosystem. Of course, #AWSreInvent covers all of that quite thoroughly.
#artificialintelligence #web3 #blockchain #govtech #innovation #aiethics #blockchainmaturitymodel #digitaltrust #cess #aivp #projectasap #emergingtech | Government Blockchain Association | 12 comments
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Excellent summary by Cassie Kozyrkov of the MIT State of GenAI Report …
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Predictive AI from Pecan.ai
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Ant Group has made a major advancement in fighting healthcare misinformation, particularly as an aid to seniors.
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Lead Scoring For The Win!
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One of the major time sinks for data science teams is in data cleaning and data prep, which accompanies the all-important steps of feature selection and feature engineering, all of which are… | Kirk Borne, Ph.D.
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Two Critical Dimensions of Data Engineering: Orchestration and Observability
If you have been active professionally in the data space for any length of time, then you know that the business implementation of any data-fueled product requires a team effort and numerous moving parts (i.e., various pieces of the internal infrastructure and user-facing components that must work together). I personally have been in different roles on such teams over my career, where I have seen the vital necessity of well-choreographed collaboration among those different components.
Fooled by Statistical Randomness
Randomness is all around us. Its existence sends fear into the hearts of predictive analytics specialists everywhere - if a process is truly random, then it is not predictable, in the analytic sense of that term. Randomness refers to the absence of patterns, order, coherence, and predictability in a system. Unfortunately, we are often fooled by random events whenever apparent order emerges in the system.
Understanding Machine Code vs. Bytecode
In the world of software engineering, code can take multiple forms from the time it's written by a programmer to the moment it is executed by a computer. What begins as high-level source code, written by humans in languages like Python or Java, this code eventually is eventually transformed into machine code – a sequence of 1s and 0s – that represent the lowest-level language a computer can read and execute.
#ai #generativeai #nextaievolution
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#ai #datascience #genai #generativeai #llms #analytics #industry40…
Kirk Borne, Ph.D.’s Post Kirk Borne, Ph.D. Kirk Borne, Ph.D. is an Influencer LinkedIn Top Voice, Thinkers360 Top 25 Overall Thought Leader, Founder of Data Leadership Group (Data Scientist. Top Influencer. Speaker. Trainer. Consultant). Advisor to DataPrime Inc and other AI startups.
Understanding Deduplication Ratios
Deduplication is a process that prevents the same data from being stored again. Deduplication ratios are an important calculation that can help you size the expected data footprint. It’s super important to understand where deduplication ratios, in relation to backup applications and data storage, come from. Deduplication prevents the same data from being stored again, lowering the data storage footprint.
SAP HANA on Pure Storage FlashArray File
FlashArray delivers the necessary performance and reliability for mission-critical workloads like SAP. It’s easy to install SAP HANA on a FlashArray system using NFS file services by following the steps outlined in this article. This blog originally appeared on ryanarsenaultsap.com. It has been republished with permission from the author. SAP typically creates and maintains an organization’s most critical data.
Kirk Borne, Ph.D. on LinkedIn: Monet
Kirk Borne, Ph.D.’s Post Kirk Borne, Ph.D. Kirk Borne, Ph.D. is an Influencer LinkedIn Top Voice, Thinkers360 Top 25 Overall Thought Leader, Founder of Data Leadership Group (Data Scientist. Top Influencer. Speaker. Trainer. Consultant). Advisor to DataPrime Inc and other AI startups.
Oracle Database 19c on Oracle Direct NFS Using FA File
This blog post shares how to configure a Pure Storage FlashArray system for NFS and an Oracle 19c database for Oracle Direct NFS (dNFS) and then confirmed usage by reviewing the Oracle database alert.log files and using dNFS database views. With Pure Storage Purity 6.1, we saw the arrival of file support to the family of Pure Storage® FlashArray™ systems, providing a unified block and file storage platform.
Gen AI Empowers Problem Solvers, Drives Operational Excellence in…
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Why Existing LLMs and ChatGPT Don’t Work on Industrial Data and How a…
You have data. You have questions. And you have to make data-driven decisions. Where do you start? Start with Canvass AI's intuitive data discovery tool MONET: https://lnkd.in/ee4wf2rP "Transform your questions into precise insights and visuals for smarter and faster decision-making without the need for analytics skills." Canvass AI is transforming Industrial AI hype into AI reality.
12 Reasons AI Readiness Is the New Imperative
This year, artificial intelligence (AI) has become a major conversation centerpiece at home, in the park, at the gym, at work, everywhere. This is not entirely due to or related to ChatGPT and LLMs (large language models), though those have been the main drivers. The AI conversations, especially in technical circles, have focused intensively on generative AI, the creation of written content, images, videos, marketing copy, software code, speeches, and countless other things.
Dirty Data Got Your AI Models Down? Here’s How to Improve Data Hygiene
Summary AI models are only as reliable as the data that is used to train them. Clean data can help deliver better results faster, but having the right data infrastructure to support it will also be key. AI models are only as reliable as the data that is used to train them. Clean data can help deliver better results faster, but having the right data infrastructure to support it will also be key. History shows that new technology breakthroughs are hyped to the heavens when they launch.
Why Is Pure Storage a Great Place to Work for Millennials?
Summary Two of Pure Storage’s millennial employees share their perspectives about why they love Pure and why they believe it’s a great place to work. Two of Pure Storage’s millennial employees share their perspectives about why they love Pure and why they believe it’s a great place to work.
Revolutionizing Data Management: The Future of Enterprise Imaging and AI-driven Infrastructure
Summary Healthcare organizations face significant challenges managing ever-growing volumes of imaging data. FlashArray and FlashBlade deliver the innovative capabilities required to address the demands of AI, cybersecurity, and enterprise imaging. Healthcare organizations face significant challenges managing ever-growing volumes of imaging data. FlashArray and FlashBlade deliver the innovative capabilities required to address the demands of AI, cybersecurity, and enterprise imaging.
Learn AI's Capabilities and Our Responsibilities on AI Appreciation Day
Summary AI Appreciation Day gives us the opportunity to look back on achievements organizations have made in their use of AI from improving efficiency to enhancing customer experiences to saving lives. AI Appreciation Day gives us the opportunity to look back on achievements organizations have made in their use of AI from improving efficiency to enhancing customer experiences to saving lives.
The Data Space-time Continuum for Analytics Innovation and Business Growth
This article on analytics innovation initially appeared on Kirk Borne’s LinkedIn. It has been republished with the author’s credit and consent. We discussed in another article the key role of enterprise data infrastructure in enabling a culture of data democratization, data analytics at the speed of business questions, analytics innovation, and business value creation from those innovative data analytics solutions.
7 Ways Data Analytics Powers Real Estate
Data collection and analysis influence nearly every aspect of the real estate industry today. Traditional business models are changing as more real estate companies and agencies take advantage of generative artificial intelligence (AI) tools, machine learning (ML) algorithms, and predictive analytics to discover trends and make better-informed decisions to drive profitability.
An AI Data Platform for All Seasons
They (some wise anonymous folks out there) say that there is a time and place for everything. They also say there is a season for every purpose. I believe the time, place, and season for artificial intelligence (AI) data platforms have arrived.
Overcoming the Challenges of Contact Center Data
The evolution of call centers has been nothing short of monumental, from the days of private branch exchange (PBX) phone systems to cloud-based, omnichannel contact centers that seamlessly connect experiences across a growing number of communication channels. And now AI is poised to make the most sweeping advancements in contact centers yet—with the potential to revolutionize both customer and employee experiences.
An AI Data Platform for All Seasons
AI devours data. With award-winning AI-ready infrastructure, an AI data platform, and collaboration with NVIDIA, Pure Storage is delivering solutions and services that enable organizations to manage the high-performance data and compute requirements of enterprise AI. They (some wise anonymous folks out there) say that there is a time and place for everything. They also say there is a season for every purpose.
Advance Institutional Resilience and Reduce Risk for Higher Education
Summary Higher education institutions are making IT investments to deliver exceptional digital experiences for students and faculty, but they also need solutions that can help them speed recovery from a ransomware attack, reduce complexity and costs, and be future-ready. Most higher education institutions today are on a journey to modernize and uncomplicate their IT infrastructure so they can deliver exceptional digital experiences for students and faculty learning and working from anywhere.
As a Service Comes of Age: How Pure Storage Leads the Next Generation
Summary Done right, as a service is now a lot more than just another buying option. It helps organizations plan for transformation differently, offering them a way to mitigate risk and deal with uncertainty. You can sift through The Pure Report podcast archives and find episodes covering as a service dating as far back as four years ago (check out “Converting Cost into Innovation” with Paul Ferraro for a fun look back at one of my favorite episodes in the program).
An AI Data Platform for All Seasons
Summary AI devours data. With award-winning AI-ready infrastructure, an AI data platform, and collaboration with NVIDIA, Pure Storage is delivering solutions and services that enable organizations to manage the high-performance data and compute requirements of enterprise AI. AI devours data.
The SSD Trap: How a Storage Solution’s Reliance on SSDs Can Impact You (Part 1 of 2)
Summary Some newer NVMe-based, software-defined storage (SDS) startups are leveraging commodity off-the-shelf (COTS) SSDs in their solutions. However, using COTS SSDs poses limitations for these vendors and for customers who choose these systems.
Machine Unlearning: The Value of Imperfect Models
Machine Unlearning: The Value of Imperfect Models Press enter or click to view image in full size Source: https://www.fast.ai/posts/2017-11-13-validation-sets.html (This article was originally published on September 23, 2014. It is available in its original form on the Internet Archive Wayback Machine at this link. Some minor updates have been made in this version, but the “2014” messaging and style of the original article are maintained.
It’s Not Magic if it is Producing Real Global Benefits and Business Value
When I was young, my dad told me about an incident that he experienced at work. He was a US Air Force officer. On that particular day, there was an unannounced (surprise) drill – a simulated national defense emergency. Though it was just a drill, it was still important to get it done right and efficiently. One of his responsibilities was to contact certain high-ranking officers and communicate with them about the situation (in this case, the simulated emergency).
How AI Chatbots Transform Your Website Strategy?
In our fast-changing, digitized world business strategies, and content planning are also moving into the world of numbers, minimizing the need for human work. Nowadays, artificial intelligence is developing day by day, expanding over more and more users and areas of use. Below you will learn about AI chatbots, their advantages and disadvantages.
Three Types of Actionable Business Analytics Not Called Predictive or Prescriptive
Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. These are primarily forward-looking actionable (proactive) applications.
Pure Storage with VMware Integrations: Get the Most Out of Your Storage
When folks think about Pure Storage, and more specifically, Pure Storage® FlashArray™, in the context of VMware, the first few things that come to mind usually are lightning-fast IOPS, sub-1ms latencies, and ease of management. Now, while all these things are true, there’s more to Pure Storage with VMware than those attributes. A whole lot more… So, in this blog post, I thought I would outline some of our top integrations with VMware that you might not be familiar with. And the best part?
How to Mine Data Effectively with Snowflake Data Cloud and Pure Storage
Data is driving business growth, compelling organizations to adopt data-driven practices by enhancing their analytical capabilities. Traditionally, data mining has been carried out using on-premises infrastructure. However, with the advent of cloud computing, modern analytics has shifted to the cloud, which allows organizations to leverage powerful computing resources and advanced analytics tools without the need for significant upfront investments.
Pure Storage FlashBlade//E Certified with Commvault
We are pleased to report that Pure Storage®, a leader in all-flash storage platforms, and Commvault, a leader in data protection solutions, have certified the new FlashBlade//E™ platform with Commvault software. When we look at a cross section of the data created by a typical business—of any size, in any vertical, over the course of any time—we see there are certain facts that become universal: Data growth is exploding: We all have more data.
All about the New FlashArray PowerShell SDK Release v2.24.70
If you do any kind of automation with FlashArray™, then you’re most likely using the PowerShell SDK in one way or another. Recently, we released version 2.24.70 of the SDK and not only does it have a bunch of new cmdlets but also has some important changes that you need to know about. Let’s dive right into it! Version 2.24.70 brings the PowerShell SDK up to parity with the Purity API version 2.24 (Pure1® login required). There were over 30 new cmdlets added and I’ve listed them in the table below.
AI for Natural Language Understanding (NLU)
In the panorama of Artificial Intelligence (AI), Natural Language Understanding (NLU) stands as a citadel of computational wizardry. No longer in its nascent stage, NLU has matured into an irreplaceable asset for business intelligence. In this discussion, we delve into the advanced realms of NLU, unraveling its role in semantic comprehension, intent classification, and context-aware decision-making.
Delivering Low-latency Analytics Products for Business Success
This article on low-latency analytics initially appeared on Kirk Borne’s LinkedIn. It has been republished with the author’s credit and consent. On-prem data sources have the powerful advantage (for design, development, and deployment of enterprise analytics applications) of low-latency data delivery. Low-latency data delivery is a system-level requirement that is tied to a critical business user requirement: low-latency analytics product delivery! You cannot have the second without the first.
How to Automate Your Data Storage to Boost Efficiency
“Sharpen the saw!” Back in the day, when everyone was reading The 7 Habits of Highly Effective People by Stephen R. Covey, that was Habit #7. It came from a joke about a lumberjack who was using a dull saw to cut logs and couldn’t stop to sharpen it because he was too busy sawing. The advice was clear: Stop cutting and take time to sharpen your saw to be more effective.
Solving the Data Daze: Analytics at the Speed of Business Questions
This article on analytics initially appeared on Kirk Borne’s LinkedIn. It has been republished with the author’s credit and consent. Data is more than just another digital asset of the modern enterprise. It is an essential asset and a fundamental feature of any successful organization.
The Data Space-time Continuum for Analytics Innovation and Business Growth
This article on analytics innovation initially appeared on Kirk Borne’s LinkedIn. It has been republished with the author’s credit and consent. We discussed in another article the key role of enterprise data infrastructure in enabling a culture of data democratization, data analytics at the speed of business questions, analytics innovation, and business value creation from those innovative data analytics solutions.
Reinventing the Telecom Data Center without Disk Storage
Telecom service providers have long been at the forefront of network engineering. They bravely go where other companies are afraid to go, opening up new possibilities for how networks can bring real value to real people. And they’ve been doing this for decades, long before computer technology even existed. At the same time, decades-long forward thinking has also resulted in a vast accumulation of legacy data center gear, storage included.
SQL DISTINCT vs. UNIQUE
Duplicate entries imported from a SQL database skew numbers and analytics, so the Structured Query Language (SQL) offers a way to eliminate duplicates so that you only get the exact values that you want. The DISTINCT and UNIQUE SQL commands eliminate duplicates but have different use cases. DISTINCT works on data sets from SELECT queries, and UNIQUE is an attribute set on table columns. What Is SQL DISTINCT?
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