L-Hand Intel.

Artificial Intelligence and Machine Learning in Cybersecurity

In today’s rapidly evolving digital landscape, the significance of cybersecurity cannot be overstated. With the proliferation of data breaches, ransomware attacks, and other malicious activities, traditional cybersecurity approaches are no longer sufficient. This is where the convergence of artificial intelligence (AI) and machine learning (ML) steps in to revolutionize the way we protect our digital assets.

www.linkedin.com

Connecting AI to Decisions with the Palantir Ontology

Palantir’s software powers real-time, AI-driven decision-making in many of the most critical commercial and government contexts around the world. From public health to battery production, our customers depend on Palantir AIP to safely, securely, and effectively leverage AI in their enterprises — and drive operational results.

https://blog.palantir.com/connecting-ai-to-decisions-with-the-palantir-ontology-c73f7b0a1a72

Connecting AI to Decisions with the Palantir Ontology by Akshay Krishnaswamy, Chief Architect, Palantir

The CISO Journey in 2024: Looking at the Year Ahead.
As security threats grow more sophisticated, the talent shortage continues, burnout concerns persist, and new regulations proliferate, CISOs’ jobs only become harder.

https://www.infosecurity-magazine.com/opinions/ciso-journey-in-2024-looking/

Building with Palantir AIP: AI-Powered Process Mining

By Ruben Stroh, Palantir Deployment Strategist

Since the launch of AIP, Palantir has worked with a wide spectrum of customers to deploy AI-centric process mining & automation workflows that save time, money, and resources. Today we’ll walk through a notional, step-by-step example of how to build this kind of solution with AIP.

https://blog.palantir.com/building-with-palantir-aip-ai-powered-process-mining-a5e0d7f10922

Building with Palantir AIP: AI-Powered Process Mining By Ruben Stroh, Palantir Deployment Strategist

The Return of the Black Swan: How Emerging Technology Will Impact Cyber Risk and Insurance.

https://www.bdo.com/insights/advisory/the-return-of-the-black-swan-how-emerging-technology-will-impact-cyber-risk-and-insurance

Loving Data...

Building Better ML Systems — Chapter 2: Taming Data Chaos
About data-centric AI, training data, data labeling and cleaning, synthetic data, and a bit of Data Engineering and ETLs.

https://www.linkedin.com/posts/l-hand-intel_ml-ai-machine-activity-7125535013453869056-tW_2?utm_source=share&utm_medium=member_android

‘OTIS’: La era digital y la imperante necesidad de científicos de datos ciudadanos
¿La devastación de ‘Otis’ se pudo haber evitado? Un mayor acceso a la tecnología y ciencia de datos podría haber hecho la diferencia, señala Alberto Muñoz.

https://www.linkedin.com/posts/l-hand-intel_dataengineer-bigdata-businessintelligence-activity-7124252139404550145-_4td?utm_source=share&utm_medium=member_android

Revolutionizing IoT: How Palantir's Foundry is Changing the Game for Smart Devices

https://www.linkedin.com/posts/l-hand-intel_data-dataanalytics-businessintelligence-activity-7120178868635746304-4Mjv?utm_source=share&utm_medium=member_android

Building Better ML Systems —
Chapter 1: Every Project Must Start with a Plan
About ML project lifecycle, designs doc, business value, and requirements. About starting small and failing fast.

https://towardsdatascience.com/building-better-ml-systems-chapter-1-every-project-must-start-with-a-plan-907a36774a32

What is a data driven operating model and why do it?
Basically, the data driven operating model is about creating central data management capability and using that to then drive a range of key transformational outcomes.

These transformational outcomes that organisations want to achieve are:

Data driven discovery and innovation, which relates to the use of data and analytics in support of innovation in products and services;
Radical personalisation or taking the concept of segmentation to an extreme;
Massive data integration i.e. the combination of massive data sets and disparate systems that previously had not been considered or analysed together; and
Enhanced decision making, which results from having more data at your fingertips for an organisation’s leadership to make decisions with.

https://www.novigi.com.au/2022-why-organisations-need-data-driven-operating-models/