Kirk Borne, Ph.D.

https://www.dataleadershipgroup.ai/

My services include: 
(1) Speaking at conferences, webinars, events.
(2) Teaching and Training Courses.
(3) Strategy Consulting.
(4) Social Promotions & Engagement for Brands.
(5) Career advising & mentoring.
(6) Content creation (blogs, book chapters, white papers).
(7) Expert Witness.

My areas of expertise include those listed here:
#AI #DataScience #BigData #MachineLearning #DigitalTransformation #IoT #IIoT #AIstrategy #AnalyticsStrategy #DataStrategy #DataLiteracy #DataStorytelling #Analytics
+more

Founder, Data Leadership Group (Data Scientist. Top Influencer. Speaker. Trainer. Consultant)

DataPrime, Inc.

As DataPrime’s inaugural Chief Science Officer and now a member of the DataPrime Advisory Board, I advise on activities and projects related to:
—Building the Data Science Profession for data pros.
—Expanding Data Literacy and Data Fluency across enterprises.
—Accelerating value creation and innovation from data in data-drenched organizations.

Advisory Board Member

Booz Allen Hamilton

I get great pleasure in finding solutions through data. The scientist in me loves to explore data (evidence), find new discoveries, develop a hypothesis to explain it, and then test those theories. As the Principal Data Scientist at Booz Allen Hamilton, I am privileged to exercise that Data Scientist role across numerous internal and external projects: human resources, organizational change, training and mentoring, marketing, customer engagement, behavior analytics, risk mitigation, novelty discovery (including fraud detection, anomaly detection, surprise discovery), thought leadership, socialization of data science across organizations and industries, data technologies (including machine learning, data management innovations, graph analytics), predictive and prescriptive analytics, geospatial-temporal modeling, and much more. I engage with clients within the federal sector, within numerous commercial industries, and with nonprofit organizations. And I enjoy mentoring, working with, and learning from some of the best and brightest young data scientists in the business.

Read more here: "A Growth Hacker's Journey - my mini-history of Data Science"
https://www.mapr.com/blog/growth-hackers-journey-right-place-right-time

Principal Data Scientist and Executive Advisor, First Data Science Fellow at Booz Allen

SYNTASA™

Kirk Borne is the first member of SYNTASA’s Advisory Board. Dr. Borne’s extensive experience in big data and data science, including expertise in scientific data mining and data systems, will help guide SYNTASA in providing focused Marketing Analytic solutions. SYNTASA will leverage the Advisory Board to grow expertise in marketing analytics, data science, predictive modeling, and management of big data sets. The Board will help steer the company on its path in creating big data analytic solutions using open source technology.
http://syntasa.com/president-and-ceo-jay-marwaha-appoints-kirk-d-borne-ph-d-as-first-syntasa-advisory-board-member/

Astroinformatics and Astrostatistics International Organizations

Contributing to the international and national efforts to promote astrostatistics and astroinformatics as robust research disciplines: organizing international research conferences on astrostatistics and astroinformatics, and contributed to the creation of three new international and national organizations:

(1) Vice President, International Astrostatistics and Astroinformatics (IAA) professional society.

(2) Senior Steering Committee member, AAS (American Astronomical Society) Working Group on Astroinformatics and Astrostatistics.

(3) Organizing Committee member, IAU (International Astronomical Union) Working Group in Astrostatistics and Astroinformatics.

In addition... (for 2014-2015):

(4) Secretary, SIAM SIAG/DMA (SIAM Activity Group on Data Mining & Analytics).

Executive Committee Member

ARIES Scientific

ARIES Scientific Inc. is a non-profit 501(c)(3) corporation, dedicated to the advancement of Science Research and STEM Education.

Kirk Borne has advised and consulted with numerous organizations in data science areas, including machine learning, artificial intelligence (AI), data strategy, data mining, and large-scale data management.

Vice President / Astronomer / Data Scientist

George Mason University

Conduct Research, Teach Courses, Advise Students (undergraduate, graduate) in these areas:  Astroinformatics, Data Science, Computational Astrophysics, Astronomy, Computational Science, Data Mining, Informatics, Scientific Databases.

Co-creator of Data Science BS degree program.

For over 30 years, Kirk Borne has studied the dynamics and evolution of galaxies within the context of colliding and merging galaxies, groups and clusters of galaxies, starbursting galaxies, active galaxies, and the mass assembly history of large and small scale structure in the Universe.  

Since 2000, he has developed & applied data mining & data science techniques on large astronomy data collections & sky survey databases, earth science remote sensing data collections, and more.  He is investigating new and existing algorithms for the discovery of patterns, correlations, associations, and outliers (surprises) within highly dimensional astrophysical parameter spaces.  These techniques are being used in several research areas, including: galaxy scaling relations, parameterization of the dynamics and evolution of galaxies and groups of galaxies, characterization and classification of time-varying astronomical events and targets of opportunity, and novelty detection within massive datasets. As part of this research, he is working with citizen science results from the Galaxy Zoo and Galaxy Merger Zoo projects.  

He is investigating research connections with other data-intensive disciplines, to explore opportunities for advancing research in a broad context, through the investigation and application of data science methods (informatics and statistics) in a manner that transcends discipline boundaries.

He is one of the originators of the field of Astroinformatics, which is data science for astronomy research and education.  

He is working with education researchers to develop new pedagogies for science learning that engage students through active experiences using Big Data in the classroom.

Professor of Astrophysics and Computational Science

Soft10 Inc.

Advisory Board member of Soft10 Inc., which brings fast Automatic Predictive Modeling Technology to any business that needs to build, validate, and refine multiple models from their data : http://soft10ware.com/about-us/our-team/

LSST Astroinformatics and Astrostatistics Research Collaboration Team

The Large Synoptic Survey Telescope (LSST) is planned to generate a 20-petabyte science database and a 100-petabyte astronomical image archive -- the analysis of such an enormous data collection requires novel research methods and algorithms.  Our collaboration team consists of astronomers, computer scientists, data mining experts, and statisticians --- we are working on solutions to the LSST petascale data challenges.

I was co-creator of the field of Astroinformatics, which is Data Science for Big Data Astronomy:
1) http://link.springer.com/article/10.1007%2Fs12145-010-0055-2
2) http://arxiv.org/abs/1301.3069
3) http://arxiv.org/abs/0909.3892

I also contributed to the revolution in scientific data mining and data science education, not only in Astronomy:
4) http://link.springer.com/referenceworkentry/10.1007%2F978-94-007-5618-2_9
5) http://arxiv.org/abs/0911.0505

Chairman

LSST Large Synoptic Survey Telescope

Advising the LSST project team regarding the education and public outreach programs, activities, goals, data products, data system design, interfaces, and learning objectives that will support the mission of the LSST and that will be based on the massive petascale scientific database and astronomical imaging data collection that LSST will produce.

Outreach Advisory Board

Worldwide top influencer since 2013. Data Scientist. Global Speaker. Consultant. Astrophysicist. Space Scientist.
Big Data & Data Science advisor, TedX speaker, researcher, blogger, Data Literacy advocate.
Social Reporter for your Data Event...
Speaker Requests for me to speak at your event/organization?...
...Please go here: https://www.chartwellspeakers.com/speaker/kirk-borne/
...or go here: https://www.bigspeak.com/speakers/kirk-borne/
2018-21: #1 Digital (Data Science, Big Data, AI) worldwide top influencer:
... http://ipfconline.fr/blog/2020/11/14/50-top-digital-influencers-to-follow-at-the-end-of-2020-and-in-2021/
2013-present: #1 or #2 or Top 10 influencer in many different categories and lists, including Big Data, Data Science, AI, Machine Learning, IoT, Data Mining, Digital Marketing, Tech Consulting, Data Security, Data Topics Blogging, and more.
2020: Elected Fellow of the American Astronomical Society for lifetime contributions to astronomy and the public's understanding of the Universe.

Data Scientist -- Transdisciplinary data science research, applications, and consulting across a variety of fields -- transcending traditional discipline boundaries.

Specialties: Public / Inspirational / Technical Keynote Speaking. Consulting / Adivising in many disciplines, including Data Science, Machine Learning, Data Mining, Data Analytics, Big Data, X-Informatics (Discovery Informatics, Science Informatics, and more), Scientific databases, Scientific data mining, Computational-X (Computational Science, and more), Astroinformatics** (Data Science for Astronomy), Observational Astronomy (ground-based and space-based), Computational Astrophysics, Higher Education, Science Education and Public Outreach, Project Management, Proposal-writing.

**co-creator of the field of Astroinformatics: see http://www.springerlink.com/content/007642412771162j/ and http://arxiv.org/abs/0909.3892

#AWSreInvent2025 is here! One of the most profoundly beneficial features of the event and of Amazon Web Services (AWS) Cloud is its expansive community and ecosystem of AWS partners. 60 award-winning partners for the year 2025 (tagged in the comments below) were announced by Amazon Web Services (AWS) this week:
https://lnkd.in/e7-n8QJY

This partner network consistently delivers exceptional next-gen cloud capabilities along with outstanding consulting services, implementation best practices, security solutions, resource management strategies, AI innovations, business-tailored training, and more.

Explore the links to additional AWS Cloud announcements and Agentic AI innovations in the comments below...

LinkedIn Top Voice, Thinkers360 Top 25 Overall Thought Leader, Founder of Data Leadership Group (Data Scientist. Top Influencer. Speaker. Trainer. Consultant. Astrophysicist). Advisor to PrimeAI and other AI startups.

HT Ankur Mulasi — new book just released from Packt Publishing >> 

"Deep Learning Math Workbook", with 300 puzzles — by Tom Yeh  

Check it out and get it here: https://packt.link/VdyJK

🛜New release from Packt Publishing ⤵️

"DeepSeek in Practice: From basics to fine-tuning, distillation, agent design, and prompt engineering of open source LLM"

💎 Get it at https://amzn.to/4imbryH 💎

🔷Discover DeepSeek's unique traits in the LLM landscape
🔷Compare DeepSeek's multimodal features with leading models
🔷Consume DeepSeek via the official API, Ollama, and llama.cpp
🔷Use DeepSeek for coding, document understanding, and creative ideation
🔷Integrate DeepSeek with third-party platforms like OpenRouter and Cloudflare
🔷Distill and deploy DeepSeek models into production environments
🔷Identify when and where to use DeepSeek
🔷Understand DeepSeek's open philosophy

Packt Publishing brings you this event…

“AI Agent Frontiers - Learn from the Creators of the World’s Leading Agent Frameworks, Systems, and Scientific AI Breakthroughs”

Register here: https://lnkd.in/eRMdfcmg

New Release from Packt Publishing >> 

"Context Engineering for Multi-Agent Systems: Move beyond prompting to build a Context Engine, a transparent architecture of context and reasoning" — now available at https://amzn.to/448dSiA by Denis Rothman

𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷:
🔵Develop memory models to retain short-term and cross-session context
🟣Craft semantic blueprints and drive multi-agent orchestration with MCP
🟠Implement high-fidelity RAG pipelines with verifiable citations
🟡Apply safeguards against prompt injection and data poisoning
🔵Enforce moderation and policy-driven control in AI workflows
🟣Repurpose the Context Engine across legal, marketing, and beyond
🟠Deploy a scalable, observable Context Engine in production

"Machine Learning for Dummies", by Luca Massaron and John Paul Mueller

I just received my pre-release copy of this clever and helpful book, now in its 3rd Edition.

You can pre-order it here (with Amazon price guarantee): https://amzn.to/44b8WJJ

𝙇𝙚𝙖𝙧𝙣:
🟣What machine learning is, what it can do, and what it can't do

🟣Basics of machine learning code and how it integrates with large datasets

🟣Mathematical principles that AI uses to make itself smarter

🟣Real-world applications of machine learning and write your own algorithms

There is so much to see and learn from Commvault this week at #AWSReInvent, including: 

⟶ #COMMVAULT 𝗦𝗘𝗦𝗦𝗜𝗢𝗡 @ #REINVENT ⟵

What: 60-Minute Dedicated Breakout Session on Best Practices to simplify resilience at scale for Gen AI data & apps
When: Wednesday, December 3 | 11:30AM
Where: Mandalay Bay | Level 2 South | Oceanside B
Who: Akshay Joshi and Jeff Cassianna
Abstract:
This session explores critical challenges in maintaining resilient data lakes and applications capable of handling the demands of AI workloads—from ingesting massive datasets to managing frequent updates during model training. We'll examine common failure points, including data corruption, application interruptions, and recovery complexities. Learn how modern data protection platforms like Clumio provide automated safeguards for cloud-native applications and data lakes, ensuring business continuity and the rapid recovery capabilities essential for AI. Attendees will discover strategies for implementing resilience, automating protection policies, and enabling near-instant recovery.

https://lnkd.in/ea5XsWEw

#CommvaultCloud #AWSReInvent2025 #ContinuousBusiness #ResOps #CyberResilience #AIResilience

Awesome news! Commvault is named 2025 #AWS Global Storage Partner of the Year: https://lnkd.in/e3inx_Pt
💥🚀🌟🏆💥🚀🌟🏆💥🚀🌟🏆
Excerpt from article: "#Commvault was named the AWS Global Storage Partner of the Year for its sustained innovation in cloud-native data protection, enterprise-grade storage operations, and joint customer success at scale. Available on AWS Marketplace, Commvault uniquely delivers unified resilience to enterprises globally, helping them migrate, protect, and cleanly recover critical AI data and workloads using AWS object, file, and block storage services. This helps organizations reduce risk, simplify operations, and maintain a state of continuous readiness."

3 amazing new (and updated) books from Packt Publishing:

1) Scikit-learn Cookbook — Over 80 recipes for #MachineLearning in #Python with scikit-learn [3rd Edition]:
https://amzn.to/4oDGOq7

2) The Kaggle Book — Master Data Analysis and #DataScience Competitions with Machine Learning, GenAI, and LLMs [2nd Edition]:
https://amzn.to/4pxJpTC 

3) The Definitive Guide to Microsoft Fabric — From discovery to building a unified, secure, and scalable data platform: 
https://amzn.to/3MdE1Xk

Get this new report, just released by LXT at https://hubs.li/Q03TD1Zk0

"The ROI of High-Quality #AI Training Data 2025"

Learn:
✅How AI budgets are being allocated across organizations

✅How enterprises source training data for both traditional and generative AI

✅The ROI measures that organizations use to evaluate their training data investments and anticipate future needs

✅And much more

Informatica has a great company brand statement: "Where data & AI come to life!" Continuing their thought leadership in this space, they have just released an eBook on "5 Top Ways to Quantify the ROI of AI-Powered Cloud Data Management — Calculating the Business Value of Informatica’s CLAIRE GPT"
 
The eBook is organized around these 5 Value Opportunities:
1️⃣Democratized Data Access Through Natural Language Querying
2️⃣Reduced IT Bottlenecks and Increased User Autonomy
3️⃣Improved Data Literacy and Professional Productivity
4️⃣Enhanced Data Governance Through Integrated Catalog and Lineage Views
5️⃣Accelerated Decisions with Faster Insight and Collaboration

These value opportunities are presented within the context of CLAIRE® GPT (described below), emphasizing: (a) how it brings AI's power to everyone in the enterprise, and (b) its cross-industry business impact. This content is accompanied by a specific representative business value assessment (BVA) across 3 scenarios (see a summary of the 3 BVA scenarios in the attached chart), plus a series of 6 detailed industry-specific applications of CLAIRE GPT (Healthcare Providers, Manufacturing, Insurance and Investment Management, Retail, Banking, and Automotive).

The eBook closes with a broadly helpful discussion of 4 BVA Best Practices:
1️⃣Be conservative in all projections and assumptions
2️⃣Emphasize transparency in all values and calculations
3️⃣Follow up and measure post-implementation results
4️⃣Use scenarios to reflect ranges of potential outcomes

📊📈💡→ ➔Download the Informatica eBook here: https://lnkd.in/dGAv7XJ9

What is CLAIRE® GPT? The eBook describes it this way: "the natural language interface of Informatica’s Intelligent Data Management Cloud™ (IDMC) platform. It tears down the barriers that once limited data tasks — such as data discovery, integration, quality, governance and master data management — to only highly trained specialists. With CLAIRE GPT, anyone in your organization — regardless of AI expertise or technical skills — can leverage IDMC’s features and capabilities. Through simple, conversational language, users find, produce, manage, protect and govern business-ready data, even across a broad and disparate data landscape. With CLAIRE GPT, all users in an enterprise can contribute to an organization’s efforts to leverage its data assets profitably and responsibly."

#Sponsored

At SHIFT 2025 today, Commvault senior leaders unveiled breakthrough innovations that redefine how organizations secure, manage, and recover their data in the AI era => The AI Imperative: Resilience Reimagined!

The event: https://lnkd.in/e737cyNY (recording available)

The Commvault Cloud Unity Platform: https://lnkd.in/esKBPiJV

My detailed X thread covering the event announcements, capabilities, innovations, reports, and more:
https://lnkd.in/eUsNPpkU

Description: "The AI-driven, agentic enterprise is a different animal. It operates instantaneously, autonomously, and at massive scale. Yet, the data your organization depends on has never been further from its origin or more complex and vulnerable. Consequently, CIOs and CISOs must rethink the availability, accuracy, integrity, and dependability of its data for this new AI era. In his keynote, CEO Sanjay Mirchandani delves deep into how Commvault helps enterprises confidently and safely scale resilience to power a continuous and competitive AI advantage."

Raw truths about ransomware and cyber threats, and how to build Cyber Resilience in the Agentic AI landscape — Get the ebook from Commvault at https://lnkd.in/ea99x765

Listen to this, featuring Govind Rangasamy 
: https://lnkd.in/e7HG5sHG

👉🌟Learn comprehensively different algorithms, techniques, applications, and ways of thinking from my 2 online #DataScience #MachineLearning Modeling Courses here:

𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 𝐢𝐧 𝐓𝐡𝐞𝐨𝐫𝐲 𝐚𝐧𝐝 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞

𝗗𝗦 𝟭𝟬𝟭: https://lnkd.in/ezR-Ed_s

𝗗𝗦 𝟭𝟬𝟮: https://lnkd.in/e72KTT3z

𝗗𝗦 𝟭𝟬𝟭 𝗖𝗼𝘂𝗿𝘀𝗲 𝗢𝘂𝘁𝗹𝗶𝗻𝗲
—————————————
Module 1: 
-Training Overview and Data Science Preliminaries
-Introduction to Modeling Concepts
-Supervised vs. Unsupervised Modeling and ML

Module 2: 
-Insights Discovery and Generalization
-Supervised Learning Concepts 
-Predictive vs. Prescriptive Modeling
-What does Cognitive have to do with it?

Module 3:
-The Two Most Important Things in Data Science
-Optimization and Feedback Loops in Modeling
-Cold-Start Modeling: When the Data Becomes the Model \(Unsupervised ML\)
-Machine Learning vs. Deep Learning

Module 4:
-Common Business Modeling Examples
-The OODA Loop in Decision Science and Data Science
-When Predictive Modeling Fails
-Ethical Modeling 
-Enriching Your Models with Smart Data \(Semantic Tags, Labels, Annotations\)
-Exploiting High-Variety Data to Achieve Better Model Outcomes

𝗗𝗦 𝟭𝟬𝟮 𝗖𝗼𝘂𝗿𝘀𝗲 𝗢𝘂𝘁𝗹𝗶𝗻𝗲
—————————————
Module 1: 
-A Fishy Example of Cost-Sensitive Classification 
-A 12-step Analytics Program in Healthcare and Medicine
-ML and AI Making Big Moves in Marketing Analytics 
-Exploratory Data Analysis: Successes, Insights, and Lessons 

Module 2: 
-Data Literacy Exercises: Strengthening Your Data Science Abilities 
-Surprise Discovery in Regression Analysis 
-Neural Networks in Climate Modeling 
-ICA vs. PCA: The Cocktail Party Problem 
-Graph Mining: Connecting the Dots that Aren't Connected

Module 3: 
-Forecasting 2.0: Beyond Traditional Forecasting 
-Clustering Analysis: Down to Earth, and Up to Space 
-Association Mining for Predictive Modeling 
-The Ways of Bayes: Classification, Markov Models, Missing Value Imputation, Causal Analysis

Module 4: 
-Precursor Analytics with Statistical Clustering 
-The IoT Internet of Context: Forecasting-as-a-Service 
-Matching ML Algorithms to Business Analytics Problems 
-The Keys to a Successful Data Science Career
-Steps to Data Analytics Mastery

—————
#BigData #AI #DataScientist #PredictiveModeling #Algorithms #DataLiteracy #PredictiveAnalytics #IoT #IIoT

SciSpace BioMed Agent is now live on Product Hunt:
https://lnkd.in/ewWVYVnW

Description:
SciSpace BioMed is a domain-native AI Agent for biomedical research. Leveraging 150+ tools & 100+ academic databases/software, it analyzes datasets, interprets variants, designs cloning, wet-lab workflows, aids rare-disease and therapeutic discovery, giving actionable insights across biology, medicine, and genomics.

Researchers find that the more people use #AI, the more likely they are to overestimate their own abilities, regardless of actual skill, flattening the Dunning-Kruger curve. The "cognitive offloading" reduces critical thinking & metacognitive monitoring.

https://lnkd.in/dzpgpeea

“The takeaway is clear: the future isn't autonomous agents replacing people. It's humans + agents working together.” That’s “human-in-the-loop, by design.”

by Vikas Marwaha at Prophecy

Building Prophecy

Co-Intelligence or Autonomy alone?

A new Carnegie Mellon University study mapped how AI agents perform real human work across data, writing, engineering, and design.

The finding? Agents are up to 90% faster and 96% cheaper—but still trail humans in quality, especially on tasks needing judgment or nuance.

The takeaway is clear: the future isn't autonomous agents replacing people. It's humans + agents working together.

This is the core philosophy behind Prophecy. We've built our platform around a slider scale of co-intelligence for data analysts, giving you control over degree of human involvement

- Generate: Use the agent for the first pass, maximizing speed and automation.
- Refine: Bring in human expertise for context, quality, and trust.

You decide the balance—from full automation to guided collaboration.

The future of AI-driven work isn't "hands-off." It's human-in-the-loop by design.

My take : The most effective systems will be collaborative.

🔗 Link to the Carnegie Mellon study in the comments below

Look at this beautiful image of the Cartwheel Ring Galaxy captured by the NASA/ESA/CSA James Webb Space Telescope (JWST). This composite image combines narrowband IR data from the Near-Infrared Camera (NIRCam) and the Mid-Infrared Instrument (MIRI).

Compare this with my original (30 years ago) Hubble Space Telescope image of the Cartwheel (in optical light) here in my 1995 NASA press release: https://lnkd.in/gcbQB3-h

Wow! This is really cool. I love simulations, and this one is extra special and brilliant.

Check out what Skyfall AI has built here — a simulation tool that explores the realistic capabilities (or not) of AI systems to actually run a business, with the ultimate goal of "building the scientific foundations for an AI CEO"...

Introducing MAPs: A Business Management environment that Reveals a Massive Gap in AI systems 

Today, the Skyfall Research Lab is releasing the first evidence that current LLMs struggle in operating a business. 

To understand what it will take for AI to one day run an enterprise, we built Mini Amusement Parks (MAPs), a small but realistic business simulation that includes: 

Stochastic events 
Partial observability 
Staff allocation 
Restocking & Maintenance 
Spatial & Operational constraints 
Long horizon planning 
Cascading operational failures 

We pitted humans vs multiple GPT-5 agents 

The Results? 

Humans beat the best LLM agents by 9.8x.

We learned that LLMs can use tools but cannot run business. They lack operational intuition and business sense required to manage even a business. 

Why this matters?

There’s a growing belief that AI will replace everyone including the CEO. 

Our research suggests that the foundational capabilities required for such systems are still in early stages. 

MAPs serves as our first benchmark toward a larger vision of building an AI CEO. 

Before an AI CEO can run an enterprise, it must be able to run this game. 

Try it yourself

Play MAPs on your browser:

MAPs: https://lnkd.in/gWSb_Ycy
Research blog: https://lnkd.in/gZFCq2ik 
This is just the beginning.

Skyfall is committed to building the scientific foundations for the AI CEO.

This week, Ant Group launched LingGuang, a next-generation multimodal AI assistant and the first of its kind in China that interacts with users through code-driven outputs. 

LingGuang empowers users to create personalized, interactive flash apps using simple natural language prompts in as little as 30 seconds. Non-technical users can also effortlessly develop functional apps, empowering them to transition from “AI users” to “AI creators.” These features enable greater inclusion and productivity in the rapidly expanding universe of AI-enabled app development. 

This new release of LingGuang from Ant Group represents the company’s latest advancement in its “AI First” strategy. Innovation is key to success in such an incredibly rapid growing marketplace. Ant Group is addressing this challenge and is accelerating its journey toward artificial general intelligence with impressive AI products. Specifically, in 2025, Ant Group is unveiling a series of innovations including the AI healthcare service AQ, the multi-scenario service robot Robbyant R1, and the Ling series of AI models, featuring systems with trillions of parameters.

I attach below two graphics that represent specific examples of LingGuang use cases. Here are the specific prompts that were used to create each of these applications:

1️⃣First, the Brandenburg Gate 3D Model – the prompt that was used to create this:  “Show me the 3D model of the Brandenburg Gate in Berlin.”

2️⃣Second, a Post-Retirement Spending Notebook – the prompt that was used to create this:  “Create a post-retirement spending notebook to monitor my daily spending to make sure I don't outlive my savings.”

In summary, here are some key features of LingGuang:

1) LingGuang responds to user questions or keywords with dynamic, multimodal content, making research on any topic clearer and more engaging.

2) LingGuang's 3D digital modeling capability transcends traditional 2D limitations, allowing users to explore and interact with subjects ranging from the Pyramids to Tyrannosaurus rex.

3) LingGuang provides real-time understanding of complex scenes and dynamic footage captured by users, delivering contextual insights and enabling on-the-fly editing or generation of images and videos through commands.

4) LingGuang automatically decomposes user queries into task frameworks and processes tasks across different knowledge domains and modalities in parallel. Combined with the native AI coding capability, this modular approach ensures logical rigor while enabling diverse outputs—from 3D animations to dynamic charts—all delivered in a clean, minimalist style.

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