#Palantir Foundry Data Science

[multisoftsystem]

Palantir Foundry Data Science Course

Dive into the world of data science with the Palantir Foundry Data Science Course. This comprehensive program equips you with the skills to analyze complex datasets, develop predictive models, and leverage Palantir's powerful tools for data integration and visualization. Gain practical experience with real-world projects and enhance your data-driven decision-making abilities. Ideal for aspiring data scientists and analysts, this course will help you unlock insights and drive impactful business outcomes. Enroll today to start your data science journey!

Read more: https://www.multisoftsystems.com/data-science/palantir-foundry-data-science-training

[gippity]

Trump and Palantir Forge a Pan-Government Surveillance State, Empowering Tech Oligarchs and Silencing Critics

Source article for analysis: https://newrepublic.com/post/195904/trump-palantir-data-americans

1. Narrative Framing

Simplicity & “Common-Sense” Appeal The administration casts cross‐agency data‐sharing as an efficiency and “government modernization” measure, flattening complex privacy and constitutional concerns into a feel-good story about bureaucratic streamlining. This preloads the conclusion that any objection is mere technophobia or red tape, rather than a debate over surveillance power.

Binary Framing (“Security vs. Chaos”) By emphasizing “national security” and “public safety,” critics are implicitly positioned as indifferent to immigrant crime or terrorism, pressuring dissenters to choose between safety and liberty—an either-or that forecloses nuanced policy discussion.

2. Emotional Engineering

Fear & Resentment References to “enforcing the March executive order,” “punish his critics,” and fears of immigrant targeting stoke anxiety about arbitrary state power. This fear is then channeled into loyalty among “true patriots” who trust the administration to wield that power wisely.

Pride & Tribal Bonding Invoking a “war on inefficiency” and naming a “far-right billionaire” ally provides a rallying narrative for supporters who see themselves as part of an inner circle, engendering pride in being on the “winning team.”

3. Pipeline On-Ramps & Ecosystem Mapping

Soft Entry via “Modernization” Pitches around “data modernization” and “innovation” serve as gateway content—memes and soundbites in tech-oriented outlets gradually introduce audiences to more radical surveillance proposals.

Content Funnel

Friendly tech press (“efficiency gains”)

Conservative opinion pieces (“keep America safe”)

Policy white papers and FOIA-leaked memos (“full database blueprints”)

Private sector deep dives (Palantir user groups, DOD contractor briefings)

4. Dog Whistles & Euphemisms

“National Security” Sanitized language for mass surveillance and immigrant tracking.

“Data-Driven Governance” A euphemism that hides the indiscriminate collection of personal information under the veneer of neutral analytics.

“Government Efficiency” Code for centralizing power and reducing agency-specific safeguards that currently protect civil liberties.

5. Archetypes & Mythos

Tech-Militarist Savior Casting Peter Thiel and Alex Karp as modern “warrior-lords” of data who will “defend” America—evoking the warrior archetype that simplifies identity into a battle of “us vs. them.”

Fallen Homeland Narrative Suggests America��s institutions are backward and corrupt, needing a techno-strongman to resurrect core values—mirroring the “rise-from-ruin” mythos common in alt-right rhetoric.

6. Strategic Impact Assessment

Real-World Mobilization This intel could be used to silence dissidents (through audits, visa denials, or targeted prosecutions), chill protest activity, and surveil immigrant communities disproportionately.

Beneficiaries & Victims Tech oligarchs (Thiel, Musk) and the Trump political machine gain concentrated power; critics, immigrants, student activists, and labor organizers become object lessons.

7. Vibe Warfare & Identity Signals

Stoic Realist Aesthetic Dark, angular visuals of data centers and code screens reinforce a mood of uncompromising techno-authority.

“Based” Tech Patriotism Pittings of “innovation bros” vs. “liberal elites,” using jargon (“Foundry,” “Grok”) as in-group markers to foster parasocial loyalty among tech-savvy conservatives.

8. Epistemic Booby Traps & Self-Sealing Logic

“If you have nothing to hide…” Pre-emptively discredits objections by labeling them paranoia or disloyalty, barring dissenting evidence from being taken seriously.

Data as Truth Presents analytics as inherently objective, making any critique of methodology or oversight seem “anti-science.”

9. Irony Shielding & Tone Drift

Tech-Bro Irony Occasional self-deprecating jokes about “big brother” memes allow participants plausible deniability (“We’re just goofing, who doesn’t love tech?”), while the surveillance machinery locks in.

Memetic Alchemy Use of playful GIFs or “dank” one-liners about “tracking your ex’s Starbucks habit” masks the seriousness of mass data collection.

[differenttimemachinecrusade]

Big Data and Analytics in GCC Market: Size, Share, Scope, Analysis, Forecast, Growth and Industry Report 2032 – Retail and E-commerce Trends

Big Data and Analytics are transforming the operational frameworks of Global Capability Centers (GCCs) across the globe. As businesses increasingly recognize the pivotal role of data in driving strategic initiatives, Global Capability Centers are evolving into centers of excellence for data-driven decision-making. According to research 76% of Global Capability Centers identified data as a critical area for future growth,

Big Data and Analytics in GCC Market is experiencing rapid growth due to the region’s digital transformation initiatives. Governments and enterprises are leveraging data to drive innovation, optimize services, and improve decision-making. As a result, demand for data-driven strategies is surging across sectors.

Big Data and Analytics in GCC Market continues to evolve with the rising adoption of AI, cloud computing, and IoT technologies. From smart cities to healthcare and finance, businesses in the Gulf Cooperation Council (GCC) are embracing analytics to remain competitive, improve operational efficiency, and enhance customer experiences.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/4716 

Market Keyplayers:

IBM Corporation (IBM Watson, IBM Cloud Pak for Data)

Microsoft Corporation (Microsoft Azure, Power BI)

Oracle Corporation (Oracle Analytics Cloud, Oracle Big Data Service)

SAP SE (SAP HANA, SAP BusinessObjects)

SAS Institute Inc. (SAS Viya, SAS Data Management)

Google LLC (Google Cloud Platform, BigQuery)

Amazon Web Services (AWS) (Amazon Redshift, Amazon EMR)

Tableau Software (Tableau Desktop, Tableau Online)

Teradata Corporation (Teradata Vantage, Teradata Cloud)

Cloudera, Inc. (Cloudera Data Platform, Cloudera Machine Learning)

Snowflake Inc. (Snowflake Cloud Data Platform)

MicroStrategy Incorporated (MicroStrategy Analytics)

Qlik Technologies (Qlik Sense, QlikView)

Palantir Technologies (Palantir Foundry, Palantir Gotham)

TIBCO Software Inc. (TIBCO Spotfire, TIBCO Data Science)

Domo, Inc. (Domo Business Cloud)

Sisense Inc. (Sisense for Cloud Data Teams, Sisense Fusion)

Alteryx, Inc. (Alteryx Designer, Alteryx Connect)

Zoho Corporation (Zoho Analytics, Zoho DataPrep)

ThoughtSpot Inc. (ThoughtSpot Search & AI-Driven Analytics)

Trends Shaping the Market

Government-Led Digital Initiatives: National visions such as Saudi Arabia’s Vision 2030 and the UAE’s Smart Government strategy are fueling the adoption of big data solutions across public and private sectors.

Growth in Smart City Projects: Cities like Riyadh, Dubai, and Doha are integrating big data analytics into infrastructure development, transportation, and citizen services to enhance urban living.

Increased Investment in Cloud and AI: Cloud-based analytics platforms and AI-powered tools are gaining traction, enabling scalable and real-time insights.

Sector-Wide Adoption: Industries including oil & gas, healthcare, finance, and retail are increasingly utilizing analytics for predictive insights, risk management, and personalization.

Enquiry of This Report: https://www.snsinsider.com/enquiry/4716 

Market Segmentation:

By Type

Shared Service Centers

Innovation Centers

Delivery Centers

By Industry Vertical

Banking and Financial Services

Healthcare

Retail

Manufacturing

Telecommunications

By Functionality

Descriptive Analytics

Predictive Analytics

Prescriptive Analytics

Real-time Analytics

By Technology Type

Data Management

Analytics Tools

Artificial Intelligence & Machine Learning

By End-User

Large Enterprises

Small and Medium Enterprises (SMEs)

Market Analysis

Accelerated Digital Transformation: Organizations across the GCC are shifting to digital-first operations, creating vast amounts of data that require robust analytics solutions.

Public and Private Sector Collaboration: Joint efforts between governments and tech firms are fostering innovation, resulting in smart platforms for public services, energy, and education.

Data-Driven Decision Making: Businesses are leveraging data to improve ROI, streamline operations, and personalize offerings—especially in e-commerce, banking, and telecommunications.

Cybersecurity and Data Privacy Awareness: With the increase in data generation, there’s a growing emphasis on securing data through advanced governance and compliance frameworks.

Future Prospects

The Big Data and Analytics in GCC Market is expected to witness exponential growth over the next five years. With increasing internet penetration, 5G rollout, and continued focus on digital infrastructure, data-driven technologies will become even more central to economic and social development in the region.

Talent Development and Upskilling: Governments are investing in training programs and digital literacy to prepare a workforce capable of managing and interpreting big data.

Emerging Startups and Innovation Hubs: The GCC is witnessing a rise in homegrown analytics startups and incubators that are driving localized solutions tailored to regional needs.

AI Integration: The convergence of AI with big data will unlock new insights and automate complex tasks in sectors such as logistics, healthcare diagnostics, and financial modeling.

Regulatory Frameworks: Future success will depend on the creation of robust regulatory policies ensuring data privacy, cross-border data flows, and ethical AI usage.

Access Complete Report: https://www.snsinsider.com/reports/big-data-and-analytics-in-gcc-market-4716 

Conclusion

The Big Data and Analytics in GCC Market stands at the forefront of digital transformation. With strong government backing, sector-wide adoption, and a growing tech ecosystem, the region is well-positioned to become a data-driven powerhouse. As the market matures, the focus will shift from data collection to intelligent utilization—empowering smarter decisions, better services, and sustainable growth across the GCC.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

[shivanimultisoft]

Palantir Foundry Training – A Path to Data Science Success

In today's data-driven world, organizations rely on powerful platforms to analyze and manage vast amounts of information efficiently. Palantir Foundry is one such revolutionary platform that enables businesses to harness the true potential of data science. If you are looking to build expertise in data integration, analytics, and machine learning, Palantir Foundry Data Science Training is the right path for you.

Why Choose Palantir Foundry for Data Science?

Palantir Foundry is widely used by enterprises for data transformation, predictive analytics, and AI-driven decision-making. This platform simplifies data management by providing a unified workspace where professionals can clean, integrate, and analyze data seamlessly. Learning Foundry equips data science professionals with cutting-edge skills that are in high demand across industries.

What Will You Learn in Palantir Foundry Online Training?

By enrolling in Palantir Foundry Data Science Training, you will gain expertise in: ✔ Data Integration – Learn how to consolidate data from multiple sources. ✔ Data Transformation – Understand how to clean, structure, and refine raw data. ✔ Machine Learning & AI – Explore predictive modeling techniques. ✔ Advanced Analytics – Develop insights using real-time data processing. ✔ Collaboration & Security – Master secure data-sharing and team collaboration.

Who Should Enroll?

This training is ideal for:

Data Analysts & Scientists

AI & Machine Learning Professionals

Business Intelligence Experts

IT & Big Data Professionals

Anyone aspiring to advance in data science

Unlock Career Opportunities with Palantir Foundry

With growing data-driven industries, Palantir Foundry experts are in high demand. Completing this training opens doors to lucrative career opportunities in finance, healthcare, government, and tech enterprises. By mastering Foundry, you will enhance your problem-solving skills and gain a competitive edge in the data science domain.

Get Started with Expert-Led Training

At Multisoft Virtual Academy, we offer expert-led Palantir Foundry Data Science Training, designed to provide hands-on experience and real-world applications. Our interactive live sessions, practical exercises, and industry-focused curriculum ensure that you gain in-depth knowledge and practical exposure.

Take the first step toward a successful data science career with Palantir Foundry training! Enroll today and empower your future with data-driven success.

[todaynewsstories]

Palantir to offer cancer analytics under JV deal with Germany’s Merck

FRANKFURT (Reuters) – Palantir Technologies Inc will set up a cancer data analytics joint venture with German lab supplies company Merck KGaA, as the U.S. analytics and security firm makes further inroads into health care.

FILE PHOTO: Merck CEO Stefan Oschmann delivers a speech during the celebrations of the 350th anniversary of German pharmaceuticals company Merck at the Merck headquarters in Darmstadt, Germany, May 3 ,2018. REUTERS/Kai Pfaffenbach

The new U.S.-based venture, called Syntropy, will offer cancer data analytics tools to research centers, combining Palantir’s Foundry data platform with the customer knowledge of Merck’s Life Science business, known as MilliporeSigma in North America, the companies said in a statement on Monday.

Syntropy will help medical researchers to structure and analyze data from various sources and to selectively share the insight with external partners, they added.

“Our customers will pay a license fee for a software, enabling them to aggregate and analyze data from highly disparate sources,” Merck Chief Executive Stefan Oschmann told Reuters, adding the JV would not buy or sell any data.

The companies would not disclose financial terms, beyond saying each partner would hold a 50 percent stake.

Known for helping the U.S. government track down al Qaeda leader Osama bin Laden, Palantir does confidential work for defense and intelligence agencies. Private sector customers include aircraft maker Airbus.

“When we choose partners, be it in government or the private sector, we are on their side and want to grow a business together and not with five others,” said Palantir co-founder and CEO Alexander Karp.

“Also in this case, we have no intention to handle it any differently,” he said.

Healthcare companies are investing heavily in data analytics. GlaxoSmithKline in July agreed to buy a $300 million stake in Google-backed gene testing company 23andMe.

Roche has spent $4.3 billion this year buying out two specialists in cancer data, U.S. genomic profiling group Foundation Medicine and U.S. cancer data company Flatiron Health.

While Roche is seeking to harness real-life data from cancer units, Merck and Palantir’s offering will for now focus on clinical trial data and early-stage research, Merck said.

Palantir, which won Merck as a customer in January 2017, said the JV deal would make the German company its exclusive partner in healthcare.

The Wall Street Journal reported last month that Palantir was weighing an initial public offering with a valuation of as much as $41 billion.

Editing by Thomas Seythal and Mark Potter

Our Standards:The Thomson Reuters Trust Principles.

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