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Meta Marketing Summit less than 2 weeks away — registrations still open [Sponsored] - Related to critical, build, registrations, raises, data

Meta Marketing Summit less than 2 weeks away — registrations still open [Sponsored]

Meta Marketing Summit less than 2 weeks away  — registrations still open [Sponsored]

The annual Meta Marketing Summit is returning on 12 February to explore actionable insights and best practices for maximising business growth in 2025 — and registrations are still open to all here.

This special online event will bring together an exciting lineup of Meta leaders, industry experts and creators, featuring special guest George Russell, Formula 1 Driver, Mercedes-AMG Petronas discussing the future of creative content and how to drive impact on Reels.

Each session will delve into key strategies for driving performance by harnessing AI, end-to-end automation, creator partnerships, creative best practice on Reels, advanced measurement tactics, sustainable cross-border growth strategies, and more.

Attendees will hear directly from leading businesses and trailblazing creatives on how they are leveraging these crucial areas to build meaningful connections with their audiences and drive campaign results.

The full Meta Marketing Summit agenda will feature:

Derya Matras, Vice President EMEA, Meta in conversation with Nick Clegg, President, Global Affairs, Meta on the organization’s AI strategy, responsible innovation, and the role of AI in safety, content, and marketing.

in conversation with on the organization’s AI strategy, responsible innovation, and the role of AI in safety, content, and marketing. Special guest George Russell, Formula 1 Driver, Mercedes-AMG Petronas and Joana Jamil, SPM, Global Partnerships, Middle East and North Africa, Meta on the future of creative content and driving impact on Reels.

and on the future of creative content and driving impact on Reels. Goksu Nebol-Perlman, Vice President, Product Marketing & Monetization, Meta presenting the top trending AI-enabled products to maximise profits in 2025.

presenting the top trending AI-enabled products to maximise profits in 2025. Cecilia Sundström, Nordics Director, Meta hosting Robin Leijonhufvud, Head of Customer Activation, H&M to explore fresh ideas and strategies to boost success with AI and creativity.

to explore fresh ideas and strategies to boost success with AI and creativity. Cristina Fasino, Product Manager, Meta hosting Gauthier le Masne de Chermont, VP Digital Marketing, Air France , Rita Janušauska, Deputy CEO, KiloHealth and Patrícia Caritj i Costa, Head of Social, Mango on how these advertisers supercharge their campaigns through end-to-end automation.

hosting , and on how these advertisers supercharge their campaigns through end-to-end automation. Görkem Yeğin, Creative Strategist, Meta hosting Melissa Orchard, Integrated Brand Experience Innovation Director, Global, Unilever and Nils Hakan Zscherpe, Content Creator (IG: @honka) on how creators can be the catalyst for boosting Reels performance.

hosting and on how creators can be the catalyst for boosting Reels performance. Zehra Chatoo, Head of Connection Planning, NEMEA, Meta on driving sustainable growth cross-borders.

on driving sustainable growth cross-borders. Qiong Wu, Marketing Science Partner, Meta on elevating measurement strategies to achieve long-term growth.

on elevating measurement strategies to achieve long-term growth. Carrie Timms, Director of International Marketing, EMEA, Meta, on key takeaways to set brands and agencies up for success in 2025.

Registrations for Meta Marketing Summit are still open and the event is free to attend. Secure a spot here.

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Neuralk-AI raises $4M to build foundation models for critical commerce data

Neuralk-AI raises $4M to build foundation models for critical commerce data

Neuralk-AI, a French deeptech startup building a Tabular Foundation Model specialised for Commerce, has raised $4M in funding.

The round was led by Fly Ventures with participation from StemAI, Thomas Wolf, Charles Gorintin, Philippe Corrot, Nagi Letaifa, Vincent Luciani , Saturnin Pugnet, Xavier Perret, Julien Launay and Jean-Louis Quéguiner.

The organization provides specialised models to do representation learning on commerce tabular data, such as product catalogs customer information, or shopping cart histories. this allows for enhanced predictive analytics, personalizationi, increased data quality and operational efficiency.

Tabular data lies at the heart of enterprise operations, and is overrepresented in decision-making across industries like finance ([website] transaction records, account balances), healthcare ([website] patient information, test results) or retail ([website] product catalogs, sales data, inventory levels). While it represents only around 20% of data volume, it contains the majority of a organization's value, capturing critical expertise, operational insights, and business know-how.

It does this by providing API access to a representation model that processes tabular data as input and returns the finest numerical representation to compute the given prediction. Neuralk-AI is already collaborating with leading names in the retail industry like E.Leclerc, Auchan, Mirakl, and Lucky Cart.

This funding will enable the business further develop its Tabular Foundation Models. “The technology underpinning tabular data has barely evolved in decades, particularly in retail where structured datasets drive every key decision,” noted Alexandre Pasquiou, Co-Founder and CSO of Neuralk-AI. “Our foundation model unlocks hidden potential within this data, empowering businesses to move beyond basic analytics to intelligent systems that deliver real impact.”.

“Neuralk-AI’s foundation model is very exciting,” stated Thomas Wolf, CSO at Hugging Face. “They unlock the untapped potential of tabular data, working toward establishing new standards for extracting intelligent, actionable insights from structured datasets.”.

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Output Sports raises €4.6M for elite sports science analytics

Output Sports raises €4.6M for elite sports science analytics

Output Sports, an Irish sports technology corporation providing software for elite-level sports science, has closed a €[website] pre-A funding round.

Participants in the round were athlete-led Apex Capital, European deep tech investor [website], and Dopamine Sports. Existing investors Elkstone, Atlantic Bridge and Enterprise Ireland also participated, alongside angel investors such as Jim Kelliher.

The firm is a spinout from University College Dublin and currently provides more than 800 sports organizations, including over half of all English Premier League clubs, with analytical insights to make data-backed decisions.

The enterprise’s technology consists of a single wearable sensor system that enables strength and conditioning coaches, sports scientists and rehab professionals to capture and analyze athletic data.

These sensors have been worn and used by championship-winning teams across the US major sports leagues and the national teams in soccer and rugby sevens.

“Output Sports is committed to developing data-driven insights that support coaches and athletes,” introduced Dr Martin O’Reilly, Co-founder and CEO of Output Sports.

“Our team has worked hard to build a platform that meets the needs of some of the world’s leading sports teams such as New Zealand’s All Blacks, England’s national soccer team and the Colorado Buffaloes and delivers meaningful value through data. This investment will help us support our growth in the US, deepen our technology capabilities, and grow our team to support our increasing customer base.”.

“At Apex, we invest in the future of sport,” showcased Koen Bosma, Head of Venture Capital at Apex Capital. “Off-field measurement and driving competition in the gym are key to success for sports organizations and Output Sports is best in class in this crucial part of the sports tech stack.”.

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Market Impact Analysis

Market Growth Trend

2018201920202021202220232024
12.0%14.4%15.2%16.8%17.8%18.3%18.5%
12.0%14.4%15.2%16.8%17.8%18.3%18.5% 2018201920202021202220232024

Quarterly Growth Rate

Q1 2024 Q2 2024 Q3 2024 Q4 2024
16.8% 17.5% 18.2% 18.5%
16.8% Q1 17.5% Q2 18.2% Q3 18.5% Q4

Market Segments and Growth Drivers

Segment Market Share Growth Rate
Digital Transformation31%22.5%
IoT Solutions24%19.8%
Blockchain13%24.9%
AR/VR Applications18%29.5%
Other Innovations14%15.7%
Digital Transformation31.0%IoT Solutions24.0%Blockchain13.0%AR/VR Applications18.0%Other Innovations14.0%

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity:

Innovation Trigger Peak of Inflated Expectations Trough of Disillusionment Slope of Enlightenment Plateau of Productivity AI/ML Blockchain VR/AR Cloud Mobile

Competitive Landscape Analysis

Company Market Share
Amazon Web Services16.3%
Microsoft Azure14.7%
Google Cloud9.8%
IBM Digital8.5%
Salesforce7.9%

Future Outlook and Predictions

The Raises Sports Meta landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:

Year-by-Year Technology Evolution

Based on current trajectory and expert analyses, we can project the following development timeline:

2024Early adopters begin implementing specialized solutions with measurable results
2025Industry standards emerging to facilitate broader adoption and integration
2026Mainstream adoption begins as technical barriers are addressed
2027Integration with adjacent technologies creates new capabilities
2028Business models transform as capabilities mature
2029Technology becomes embedded in core infrastructure and processes
2030New paradigms emerge as the technology reaches full maturity

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:

Time / Development Stage Adoption / Maturity Innovation Early Adoption Growth Maturity Decline/Legacy Emerging Tech Current Focus Established Tech Mature Solutions (Interactive diagram available in full report)

Innovation Trigger

  • Generative AI for specialized domains
  • Blockchain for supply chain verification

Peak of Inflated Expectations

  • Digital twins for business processes
  • Quantum-resistant cryptography

Trough of Disillusionment

  • Consumer AR/VR applications
  • General-purpose blockchain

Slope of Enlightenment

  • AI-driven analytics
  • Edge computing

Plateau of Productivity

  • Cloud infrastructure
  • Mobile applications

Technology Evolution Timeline

1-2 Years
  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream
3-5 Years
  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging
5+ Years
  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

Expert Perspectives

Leading experts in the digital innovation sector provide diverse perspectives on how the landscape will evolve over the coming years:

"Technology transformation will continue to accelerate, creating both challenges and opportunities."

— Industry Expert

"Organizations must balance innovation with practical implementation to achieve meaningful results."

— Technology Analyst

"The most successful adopters will focus on business outcomes rather than technology for its own sake."

— Research Director

Areas of Expert Consensus

  • Acceleration of Innovation: The pace of technological evolution will continue to increase
  • Practical Integration: Focus will shift from proof-of-concept to operational deployment
  • Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
  • Regulatory Influence: Regulatory frameworks will increasingly shape technology development

Short-Term Outlook (1-2 Years)

In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing digital innovation challenges:

  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream

These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.

Mid-Term Outlook (3-5 Years)

As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:

  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging

This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.

Long-Term Outlook (5+ Years)

Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:

  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.

Key Risk Factors and Uncertainties

Several critical factors could significantly impact the trajectory of digital innovation evolution:

Legacy system integration challenges
Change management barriers
ROI uncertainty

Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.

Alternative Future Scenarios

The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:

Optimistic Scenario

Rapid adoption of advanced technologies with significant business impact

Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.

Probability: 25-30%

Base Case Scenario

Measured implementation with incremental improvements

Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.

Probability: 50-60%

Conservative Scenario

Technical and organizational barriers limiting effective adoption

Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.

Probability: 15-20%

Scenario Comparison Matrix

FactorOptimisticBase CaseConservative
Implementation TimelineAcceleratedSteadyDelayed
Market AdoptionWidespreadSelectiveLimited
Technology EvolutionRapidProgressiveIncremental
Regulatory EnvironmentSupportiveBalancedRestrictive
Business ImpactTransformativeSignificantModest

Transformational Impact

Technology becoming increasingly embedded in all aspects of business operations. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.

The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.

Implementation Challenges

Technical complexity and organizational readiness remain key challenges. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.

Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.

Key Innovations to Watch

Artificial intelligence, distributed systems, and automation technologies leading innovation. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.

Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.

Technical Glossary

Key technical terms and definitions to help understand the technologies discussed in this article.

Understanding the following technical concepts is essential for grasping the full implications of the security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.

Filter by difficulty:

platform intermediate

algorithm Platforms provide standardized environments that reduce development complexity and enable ecosystem growth through shared functionality and integration capabilities.

SaaS intermediate

interface

API beginner

platform APIs serve as the connective tissue in modern software architectures, enabling different applications and services to communicate and share data according to defined protocols and data formats.
API concept visualizationHow APIs enable communication between different software systems
Example: Cloud service providers like AWS, Google Cloud, and Azure offer extensive APIs that allow organizations to programmatically provision and manage infrastructure and services.

predictive analytics intermediate

encryption