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Sylvera-BlueLayer partnership streamlines carbon credit transactions for developers and buyers - Related to shops, speeding, cycle, credit, this

Sylvera-BlueLayer partnership streamlines carbon credit transactions for developers and buyers

Sylvera-BlueLayer partnership streamlines carbon credit transactions for developers and buyers

Sylvera Carbon Data and BlueLayer showcased a partnership designed to transform carbon markets by streamlining the exchange of inventory, price, and project data between project developers and buyers.

The carbon market, as it stands, is fragmented and inefficient. Buyers face difficulties navigating a maze of intermediaries to find carbon credits that match their requirements. Project developers, in turn, encounter challenges responding to RFPs quickly and accurately, and managing the extended back and forth with intermediaries and buyers on project data, pricing, inventory availability, and contract terms. This slow sales process impedes buyers from meeting their net zero goals and project developers to secure financing and scale their projects.

BlueLayer, founded in 2022, has developed a platform that enables developers to maximise their carbon revenues, digitise their workflows, streamline carbon credit management and facilitate certification.

Sylvera, founded in 202, helps global corporations, financial institutions, and governments to develop and execute their carbon credit strategies, drive measurable progress toward net zero goals, and optimise returns on investment. To date, Sylvera has raised over $96 million in funding.

This partnership will drive billions of dollars worth of investment towards carbon projects by enabling buyers to discover, request, and exchange data digitally and fully securely with project developers. To date, 80+ projects have been introduced to buyers, catering to a total demand of 4 million credits.

More than 200 leading project developers are now part of this ecosystem, increasing market liquidity and accessibility and further driving progress in the global carbon markets.

, co-founder and CEO of BlueLayer, the partnership is a turning point for scaling the carbon markets, providing much-needed digital infrastructure for both suppliers and buyers:

“We're giving project developers the tools, visibility and access to funding they need to boost revenue opportunities and scale their business; while providing buyers with the data transparency they require to identify high-quality projects and meet their sustainability goals. Together, we’re creating a more efficient, high-performing, and connected market.

Allister Furey, Co-founder and CEO, Sylvera shared:

“Partnering with Bluelayer enables us to remove barriers, simplify processes, and facilitate stronger connections between buyers and developers - on the foundation of end-to-end carbon data. It’s another big step in driving meaningful climate action and real progress as we continue to mature these markets.”.

Xsolla teams up with AppsFlyer to provide analytics for web shops

Xsolla teams up with AppsFlyer to provide analytics for web shops

Xsolla, a game commerce firm, has partnered with AppsFlyer to provide analytics for web shops as alternative stores for game devs.

AppsFlyer focuses on mobile measurement, attribution, and data analytics. This enhancement of the Xsolla and AppsFlyer partnership provides game developers with improved insights and simplified activation for its web shops, which are available worldwide as alternatives to traditional app stores.

The partnership also introduces solutions to address cross-platform measurement and attribution challenges. The partnership includes two integration options: server-to-server (S2S) and web integrations for mobile games.

Xsolla and AppsFlyer have collaborated closely for over a year to develop two custom integrations that address critical challenges in the mobile market. These integrations offer game developers comprehensive data on user behavior, campaign performance, and revenue attribution across mobile and web platforms.

Activation is straightforward and requires no coding from developers—teams of all sizes can enable these tools directly at Xsolla and AppsFlyer publisher accounts. This approach highlights Xsolla’s commitment to simplifying complex processes and supporting developer success.

These integrations address two major challenges in the mobile gaming ecosystem: reliable lifetime value (LTV, or how much money a given consumers will generate over the course of an app’s lifetime) and return on advertising spend (ROAS) measurement across platforms and accurate web shop ad campaign tracking. Developers can manage small activations directly through their accounts with a streamlined activation process via the Xsolla Publisher Account and AppsFlyer Publisher Account.

The Mobile Application S2S Integration enables complete LTV and ROAS measurement for purchases made within the application and on the Web Shop. Web Shop purchases are measured as in-app events.

AppsFlyer attributes each purchase to the number of mobile application installations, user acquisition, and re-engagement campaigns to help provide a complete cross-platform user journey, complete LTV, and overall return on investment (ROI) calculation. The setup process is simple and requires no technical expertise, making it accessible to all mobile developers through Xsolla’s and AppsFlyer publisher accounts.

The web integration activation is designed to measure and assess marketing performance, advertising conversion rates, high-performance advertising creatives, and re-targeting efforts for Web Shops using Xsolla’s Site Builder. Developers can easily enable this functionality, allowing them to measure the effectiveness of ad campaigns driving traffic to their web shops through Xsolla’s and AppsFlyer publisher accounts.

“Xsolla’s web shop solution has revolutionized the mobile game development industry, with over 500 Webshops established,” revealed Berkley Egenes, Xsolla chief marketing and growth officer, in a statement. “Previously, the traditional mobile measurement tools were not suitable for this scenario. These integrations with AppsFlyer bridge the data gap between web shops and mobile apps, offering game developers a complete view of LTV and overall ROI,”.

He added, “This collaboration underscores Xsolla’s commitment to simplifying complexities for our mobile game partners and enabling smarter business decisions based on complete data flows across the player journey.”.

“In an increasingly evolving and dynamic gaming ecosystem, understanding the full user journey across mobile and web is critical for developers looking to optimize performance and maximize revenue,” expressed Adam Smart, product director of gaming at AppsFlyer, in a statement.

He added, “By combining Xsolla’s expertise in commerce with AppsFlyer’s leading analytics capabilities, we’ll see seamless cross-platform measurement and attribution, giving developers the insights they need to drive smarter decisions and accelerate growth for the industry. These integrations ensure developers can focus on creating exceptional gaming experiences, knowing that their successes are appropriately credited.”.

The gaming industry, particularly mobile games, increasingly demand tools that provide clear insights into player behavior and enable precise campaign performance measurement across platforms. These solutions help developers optimize engagement strategies and ROI, empowering developers to focus on creating exceptional gaming experiences.

Web shops are part of the omni-channel world.

Brian Quinn, president of AppsFlyer, showcased in an interview with GamesBeat that we are headed toward an omni-channel world with mobile at the center. AppsFlyer is developing strategies and product roadmaps for that world, where developers apps will need to know how their games are performing across different platforms. With web shops, developers will be able to get to know their end-individuals more and ask them whether they want to opt in to sharing data about their game preferences. That’s an opportunity to directly learn more about end-individuals tastes and how to target them with relevant app or game recommendations, as permitted under regulations.

“We see a mobile centric, omnichannel view of the world,” Quinn mentioned. “We have continued discussion around signal loss due to privacy, platform changes, regulatory changes, what it means adoption of Apple’s frameworks, what’s going to happen with Google, privacy, loss of growth and more.”.

Quinn added, “We need to be focusing on omni-channel strategies and not multi-channel strategies, where it’s like we have mobile, we have CTV, we have out of home” as parts of a disconnected campaign.

Quinn introduced the business has to watch regulatory environments around the world and see the paths that companies adopt when it comes to marketing and privacy.

“There’s a lot of fragmentation,” he mentioned. “We have a layer on top that scans and allows you to do your own set of modeling. They have a lot less first-party data. We developed robust probabilistic modeling, which was more privacy safe.”.

He noted such solutions are now more mainstream.

“We built these different measurement flows for different types of campaigns on different platforms,” Quinn stated. “And then we built a proprietary modeling capability that we call like single source of truth, which de-duplicates all of those installs and events. And so now you have a one true read on your business if you’re a gamer, and that provides clarity.”.

The business can provide trustworthy measurement and an independent and unbiased view of how apps and games are doing across the different channels, as it doesn’t have investment from a media business.

“They see that as as as very accurate and very trusted. And then if they have a single view of their business from all these different kind of fragmented media spaces,” Quinn stated. “It’s easy for them to then invest and it’s easy for them internally to get the buy in from finance, from marketing, from growth teams.”.

He added, “We’ve been building scaled measurement capabilities in an IDFA-less world for four years. It’s fragmentation. Sometimes there is an identifier, sometimes not. And then we have to resolve that to a single view. We’re starting to feel quite comfortable providing analytics and accurate measurement in that world.”.

And now it seems web shops are more viable, easier to stand up, and can be another source of performance measurement for mobile marketing.

“The web is now a channel where a lot of mobile companies are thinking they’re going to go find new customers and bring them into their app environment,” he stated. “It’s part of their acquisition flow and so with identifiers going away, the analytics across these different platforms gets easier, because you’re not dealing with the unique identifiers of the platform. So you’re now you’re dealing in aggregated data sets across multiple platforms. So, long story short, I think one of the things that gets us excited about growth, and it might be a different approach that we’re taking than others, is we have a pretty strong foothold in mobile.”.

Regarding third-party app stores (like the Epic Games Store) that are coming, Quinn noted, “My point of view on this is that it’s exciting to think that there are third party app stores on the horizon, and if Epic is going to plant that flag — and they’re the ones really championing it — that could open the door for more, depending upon the region and regulation and whatnot.”.

He showcased, “What we see as an exciting opportunity is that those stores are going to need measurement support. There needs to be these are new environments where consumers have optionality, and when that’s the case, there’ll be advertising and monetization options.”.

Quinn expressed these platforms still need an independent, unbiased measurement enterprise to exist.

“We get excited about the potential of not just two types of stores out there for mobile devices and more consumer choice,” Quinn noted. “It seems like there should be more (third-party app stores) than there are.”.

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The iPhone upgrade cycle is speeding up. Is this the Apple Intelligence effect?

The iPhone upgrade cycle is speeding up. Is this the Apple Intelligence effect?

Apple has expressed hope that Apple Intelligence will accelerate the iPhone upgrade cycle. A new analysis hints at that the AI software may be achieving this goal, at least by a little bit.

, consumers are trading in their iPhones for newer models at a faster rate. This is encouraging news for Apple since clients have been keeping their phones for longer periods in recent years.

In the most recent quarter, a higher percentage of iPhone buyers upgraded from “younger” phones than in previous quarters. Specifically, 36% of iPhone buyers by the end of 2024 reported having their previous phones for two years or less, up from 31% a year earlier.

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It’s still too early to draw definitive conclusions. Additionally, surveys like the one from CIRP do not rely on actual iPhone sales figures, which have not been particularly strong for Apple in recent quarters.

In the December quarter, for example, Apple’s iPhone revenue was reported at $[website] billion, slightly down from $[website] billion in the same period a year earlier.

Several signs suggest a positive trend. First, the December quarter marked the first time the entire iPhone 16 lineup was available for purchase after its launch in late September. Second, Apple Intelligence has not been fully released despite being heavily promoted. Instead, its aspects are being introduced gradually through software updates, with more expected in the coming months. As such, there could be buyers waiting for all the parts to be released before purchasing.

Additionally, it should be noted that Samsung saw an improvement in its phone sales last year for the first time since 2018. This increase is primarily attributed to the phone’s new AI offerings, which began to roll out months before Apple’s, suggesting the iPhone maker’s AI-inspired uptick is only delayed.

Another reason for optimism unrelated to Apple Intelligence is the anticipated release of the iPhone 17 Air this fall, which will be its thinnest iPhone to date. In the coming years, Apple is expected to launch thinner iPhones, including foldable models. This new hardware should contribute to an overall increase in iPhone sales over the long term.

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Bhatia unveiled on LinkedIn that she is.

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 Sylvera Bluelayer Partnership 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.

RPA 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.