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AI Was Meant to Make Data Decisions Easier — Not Harder

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AI was once heralded as the next big leap for data-driven organizations, but integrating it into existing data frameworks is proving more challenging than anticipated.
AI doesn’t just produce and handle vast amounts of data; it also introduces untraceable biases in training datasets, which can result in biased models that affect both performance and compliance. Moreover, data specialists aiming to enhance data quality and maintain its integrity are venturing into relatively uncharted territory due to AI’s complexities.
Techopedia explores the intricacies of when it’s beneficial to merge AI with data operations and when it’s best to maintain separation.
Widespread AI Adoption with Reservations
The “2024 IT Trends Report, AI: Friend or Foe?” by SolarWinds revealed that while a vast majority (88%) of organizations are adopting or planning to adopt AI, only a few are confident in their readiness to integrate this technology. The primary hurdles include data management, infrastructure robustness, and security concerns.
In April, Gartner indicated that 69% of organizations feel compelled to evolve or completely rethink their data and analytics (D&A) strategies due to AI’s disruptive impact. Additionally, about 38% foresee a comprehensive overhaul of their D&A architecture within the next year and a half.
AI Data Management: Comprehensive Tracking from Start to Finish
Often, data-driven companies may not prioritize tracking data flows until it becomes a pressing issue. Adding AI to the mix exacerbates this problem, transforming it into a significant challenge.
Bakul Banthia, Co-Founder of Tessell, a cloud database as a service (DBaaS) provider, shared insights with Techopedia:
“Data flow should be managed much like energy or water—flowing from a central hub to various nodes and finally reaching end-users. As long as access to data is controlled and its reach is well-defined, data flows can be effectively managed.”
However, Banthia cautioned that this task is daunting and requires rigorous discipline. He pointed out that breaches often occur in secondary environments, which may be neglected from a security and policy standpoint. He emphasized that data leaders must establish and enforce a unified policy covering all data users, whether human or machine.
John Stringer, Head of Product at Next DLP, a data protection company, also weighed in on the importance of understanding data’s origin, pathway, and endpoint to safeguard sensitive information.
Challenges Posed by AI to Traditional Data Tracking Techniques
The dynamic nature of AI data flows, characterized by complex transformations and manipulations, poses challenges for traditional data quality monitoring tools. These tools often struggle to track and maintain visibility over the sophisticated, non-linear data pathways common in AI operations.
If these data quality issues go unnoticed, they can be exacerbated by AI systems, leading to outcomes that are biased or inaccurate.
Stringer highlighted that traditional data loss prevention (DLP) solutions are typically not equipped to handle the complexities introduced by AI, particularly generative AI that creates vast new data types.
He noted, “Innovative platforms are now enhancing visibility and control from data creation to deletion, which is critical for managing the intricacies of modern data, including those generated by AI technologies.”
Real-World Insights: Integrating Data and AI
Bob Rogers, former Chief Data Scientist at Intel and CEO of Oii.ai, shared his experiences with Techopedia. He discussed leading a team at UCSF that developed the world’s first FDA-cleared AI for X-ray devices, now known as the GE Critical Care Suite. The complex data processing pipelines they developed were essential for the consistent, repeatable outcomes necessary for FDA approval.
Rogers emphasized the importance of meticulous data lifecycle management, from collection and annotation to transformation, to ensure successful AI integration and regulatory compliance.
The Bottom Line
The journey to integrating AI into data-driven frameworks presents new challenges, from managing complex workflows to addressing vast data consumption and the inherent limitations of traditional data tracking tools. Fortunately, emerging solutions are providing the visibility and control needed to manage these complexities effectively, enhancing both data lineage and security across the AI supply chain.
Source: techopedia.com
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Tuya Smart Announces Partnership With V2 Indonesia to Revolutionize the Indonesian Smart Home Market

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Tuya Smart (NYSE: TUYA, HKEX: 2391), a global cloud platform service provider, has announced a partnership with V2 Indonesia, Indonesia’s premier solution provider, to jointly advance the deep integration of cutting-edge technologies, including AI, into the realm of smart homes.
Through this partnership, which was formalized at the 2024 Tuya Global Developer Summit, Tuya Smart and V2 Indonesia seek to enable customers to capitalize on the immense opportunities presented by the burgeoning Indonesian smart home market.
V2 Indonesia is an innovative company that combines automation technology and digital reality to transform various industries. The company provides services across all business sectors, from private enterprises to government agencies. Armed with a sophisticated software platform, V2 Indonesia is poised to bring about a technological revolution in every aspect of life, while building strong collaborations with future industry leaders.
Indonesia, with a population of 274 million and a youth demographic comprising up to 58%, represents one of the world’s markets with the highest proportion of young people. This youthful population generally exhibits a high level of acceptance for innovative products, such as smart electronics, which has spurred the demand for smart homes and related offerings in the Indonesian market. According to recent reports, the Indonesian smart home market is experiencing rapid growth, with a forecasted compound annual growth rate of more than 20% in the next three years.
To capitalize on this burgeoning market, V2 Indonesia remains committed to exploring the realm of smart homes. The company is dedicated to enhancing its technical prowess to facilitate the creation of smart home products that cater to evolving consumer needs. Through its long-term exploration, V2 Indonesia has recognized that the integration of intelligent technologies like AI and IoT holds immense commercial potential for the smart home industry. Moreover, these cutting-edge technologies can streamline workflows, optimize resource allocation, and minimize operational costs. Consequently, V2 Indonesia has chosen to partner with Tuya Smart, the world’s leading cloud developer platform, to establish an industry-leading smart home ecosystem. This collaboration aims to provide customers and consumers with a more convenient, intelligent, and personalized smart home living experience.
Leveraging Tuya’s Smart House & Real Estate SaaS, this collaboration has enabled V2 Indonesia to develop a comprehensive and streamlined smart solution. This solution significantly reduces the time and costs for customers, ensuring a swift and efficient product launch and promotion.
At the hardware level, V2 Indonesia has capitalized on Tuya’s vast intelligent hardware ecosystem, further broadening its product range. Facing diverse customer needs, V2 Indonesia can seamlessly create customized home scenes through flexible combinations, delivering a more comfortable and personalized living experience.
At the software level, Tuya’s OEM SaaS services have provided V2 Indonesia with a comprehensive set of connectivity tools. These include a comprehensive product control system, intelligent scene design capabilities, efficient batch delivery tools, an operations and maintenance knowledge base, online fault diagnosis, and streamlined work order services. These tools effectively expedite the implementation of V2 Indonesia’s projects and accelerate customers’ smart home upgrades.
Notably, with the incorporation of Tuya’s GenAI technology, V2 Indonesia’s virtual assistant, ViVi, can engage in meaningful dialogue and interactions with users. By simply providing voice commands, users can effortlessly operate smart products in their homes, significantly enhancing the convenience of daily living.
Rudi Hidayat, CEO of V2 Indonesia, commented, “As a pioneering solution provider in Indonesia, V2 Indonesia has consistently spearheaded the development of comprehensive home intelligence. Through our close partnership with Tuya, we have seamlessly integrated cutting-edge technology into real-world scenarios, introducing groundbreaking smart home solutions to the Indonesian market. Looking ahead, V2 Indonesia intends to deepen our collaboration with Tuya, leveraging AI technology to forge a new smart home ecosystem and jointly craft an even more enriching smart lifestyle for all.”
Gloria Huang, Vice President of Operations at Tuya Smart, added, “V2 Indonesia boasts a robust market presence and a vast customer base in Indonesia. Our collaboration with V2 Indonesia presents an opportunity to introduce our innovative solutions and products to the Indonesian market, thereby unlocking new business prospects. Together, we will continue to delve into the needs of Indonesian consumers, refine our offerings, vigorously expand our intelligent business operations in the country, and seize upcoming market opportunities in unison.”
The collaboration between Tuya and V2 Indonesia not only establishes a new benchmark for smart industry in the Indonesian smart home market, but also propels the rapid evolution of the industry, harnessing the combined technological prowess and market insights of both parties. Moving forward, Tuya remains committed to collaborating with V2 Indonesia to innovate, devise novel solutions and smart home products, and ultimately deliver a more intelligent home living experience to Indonesian consumers.
SOURCE Tuya Smart
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Meta and Apple Hold Back New AI Features For European Users Over Regulatory Concerns

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American Big Tech vs. European Regulators: The AI Battleground
Artificial Intelligence has become the latest contentious issue between American tech giants and European regulators, who are closely monitoring AI services for potential privacy, antitrust, and consumer protection violations.
Apple and Meta Withhold AI Features in Europe
In recent weeks, Apple and Meta have delayed the release of new AI features in the European market to avoid potential penalties. However, the vast size of the European market might compel these companies to address regulatory concerns.
Apple Intelligence and DMA Compliance Fears
Apple recently unveiled Apple Intelligence, a suite of new AI features, including the integration of ChatGPT into iOS. However, due to concerns that its deal with OpenAI might violate the EU’s Digital Markets Act (DMA), Apple has postponed the rollout of these features for EU users.
“We are concerned that the interoperability requirements of the DMA could force us to compromise the integrity of our products in ways that risk user privacy and data security,” Apple stated.
While US customers will access the new AI features later this year, EU iPhone users will have to wait until Apple can ensure the software upgrade complies fully with the DMA.
Balancing Regulatory Compliance
Apple faces a challenging situation: non-compliance with DMA regulations could result in fines of up to 10% of its global turnover. On the other hand, not providing the same AI features and services in the EU as in other regions could harm its business in Europe.
This regulatory challenge is not unique to Apple. Meta is also navigating similar issues, although its concerns are more focused on privacy laws than antitrust regulations.
Meta’s AI Data Gathering and GDPR Complaints
In early June, Meta announced changes to its privacy policy that would allow the company to use personal data from millions of Europeans to train its AI models. This move drew criticism from Max Schrems, a well-known privacy advocate who has previously sued Meta for violating the EU’s General Data Protection Regulation (GDPR).
“Meta is basically saying that it can use ‘any data from any source for any purpose and make it available to anyone in the world’, as long as it’s done via ‘AI technology’. This is clearly the opposite of GDPR compliance,” said Schrems.
Through his campaign group noyb, Schrems filed complaints with 11 EU privacy watchdogs, including the Data Protection Commission (DPC) in Ireland.
Meta AI Launch Delayed in Europe
Following these complaints, Meta has suspended its plans to use data from EU and UK citizens to train its AI systems and has delayed the launch of Meta AI in the region. Meta AI, built on Llama 3, is intended to rival ChatGPT and integrate into platforms like Facebook Messenger, Instagram, and WhatsApp.
Stefano Fratta, Meta’s Global Engagement Director, defended the company’s approach, stating, “We are following the example set by others, including Google and OpenAI, both of which have already used data from Europeans to train AI. Our approach is more transparent and offers easier controls than many of our industry counterparts.”
The Likelihood of Compromise
Both Apple and Meta maintain that offering new AI services without violating European regulations is currently unfeasible. However, history suggests that regulators are unlikely to back down in such standoffs. In similar past situations, American companies have often been forced to compromise.
Meta, for instance, has previously threatened to withdraw its services from the EU but has never followed through. For Apple, permanently limiting AI features for European users is also not a viable long-term strategy. Ultimately, US tech giants will need to find ways to deploy AI services that comply with European regulations.
Source: ccn.com
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Quickcode.ai Raises $1.1M in Seed Funding

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Quickcode.ai, a McLean, VA-based provider of artificial intelligence software for the trade compliance industry, has secured $1.1 million in Seed funding.
The funding round was supported by PS27 Ventures and DataTribe.
The company plans to use the funds to expand its operations and enhance its development efforts.
Led by CEO Shannon Hynds, Quickcode.ai leverages large language models and a science-based user interface to streamline data management for trade compliance professionals. Its products include a 24/7 cloud-based product compliance monitoring platform, a specialized integration for SaaS providers needing access to trade compliance data, and an API that facilitates the assignment of compliance data to extensive product datasets.
Source: finsmes.com/
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