ai

Mark Cuban: AI is a tool, not the answer

Mark Cuban, the tech entrepreneur and investor, spoke at the SXSW conference, where he highlighted the importance of AI for small businesses. He stressed that while AI can be a valuable tool, it should never be seen as the ultimate answer to business success. Cuban explained that AI can help entrepreneurs by making it easier to start and grow businesses, answering questions, and aiding in tasks like research, emails, and sales calls. However, he cautioned against over-relying on AI.

Cuban encouraged entrepreneurs to spend time learning about AI, pointing out how much easier it is to start a business today compared to the past, thanks to the availability of AI tools and internet access. He acknowledged that AI can make mistakes and isn’t perfect, but noted that human experts can also be wrong. In creative fields, Cuban argued that while AI can help with certain tasks like video creation, it’s not a substitute for human creativity, especially when it comes to things like writing scripts or generating quality art.

The tech mogul highlighted that AI should amplify human skills, not replace them. He warned that those who neglect to use AI might find themselves at a disadvantage, as competitors who utilise AI will have the edge.

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Synapsia signs major contract for AI-powered urban solutions in Abu Dhabi

Italy’s Synapsia has signed a $2.5 billion agreement with UAE’s Bold Technologies to provide AI-powered city management solutions for Abu Dhabi.

The partnership aims to enhance urban infrastructure, transportation, and emergency response through AI. Payments will be made in five instalments over 18 months, subject to project milestones.

The initiative, described as a ‘cognitive city project,’ will use AI to improve efficiency by integrating real-time data across various sectors.

As part of the deal, the companies will establish a new entity, My Aion Inc., which is expected to launch an initial public offering on the Abu Dhabi stock exchange between 2027 and 2029.

Italy has been strengthening economic ties with Gulf nations under Prime Minister Giorgia Meloni, with the UAE pledging to invest $40 billion in Italy.

The agreement also highlights the UAE’s ambition to position itself as a leader in AI, competing with regional players such as Qatar and Saudi Arabia.

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Salesforce strengthens AI presence in Singapore with major funding

Salesforce has announced a $1 billion investment in Singapore over the next five years to drive the adoption of its AI agent development platform, Agentforce.

The initiative aims to address labour shortages and enhance productivity by integrating autonomous AI agents into the workforce.

The investment follows similar moves by the company, including a $500 million commitment in Saudi Arabia and Argentina to expand AI and cloud services.

Singapore has been a key market for Salesforce, with its AI Research hub established in the country in 2019. The company’s local clients include Singapore Airlines, Grab, and FairPrice Group.

As part of the expansion, Salesforce has signed an agreement with Singapore Airlines to integrate Agentforce and other AI-driven solutions into its customer service operations.

The company continues to focus on AI innovation while restructuring its workforce, aligning itself with other tech giants investing in Southeast Asia’s digital future.

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OpenAI launches responses API for AI agent development

OpenAI has unveiled new tools to help developers and businesses build AI agents, which are automated systems that can independently perform tasks. These tools are part of OpenAI’s new Responses API, allowing enterprises to create custom AI agents that can search the web, navigate websites, and scan company files, similar to OpenAI’s existing Operator product. The company plans to phase out its older Assistants API by 2026, replacing it with the new capabilities.

The Responses API provides developers with access to powerful AI models, such as GPT-4o search and GPT-4o mini search, which are designed for high factual accuracy. OpenAI claims these models can offer more reliable answers than previous versions, with GPT-4o search achieving a 90% accuracy rate. Additionally, the platform includes a file search feature to help companies quickly retrieve information from their databases. The CUA model, which automates tasks like data entry, is also available, allowing developers to automate workflows with more precision.

Despite its promise, OpenAI acknowledges that there are still challenges to address, such as AI hallucinations and occasional errors in task automation. However, the company continues to improve its models, and the introduction of the Agents SDK gives developers the tools they need to build, debug, and optimise AI agents. OpenAI’s goal is to move beyond demos and create impactful tools that will shape the future of AI in enterprise applications.

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AI will enhance, not replace, programmers, says IBM CEO

At the SXSW conference, IBM CEO Arvind Krishna addressed two key topics: global trade and the role of artificial intelligence in programming. Krishna expressed his belief that global trade remains vital for economic growth, citing the historical correlation between increased trade and GDP growth.

He also argued that embracing international talent through policies supporting immigration would benefit the US, allowing it to remain competitive in the global market.

Turning to AI, Krishna disagreed with predictions that AI would soon take over coding entirely. Instead, he believes AI will increase programmer productivity by assisting with simpler tasks, allowing developers to focus on more complex problems.

He argued that AI could boost the output of existing teams, helping companies gain market share by enabling faster production and more efficient workflows.

While AI may revolutionise some aspects of work, Krishna maintained that it won’t replace human workers entirely. Drawing a parallel with the initial fears surrounding calculators and Photoshop, he described AI as a tool that enhances rather than replaces human expertise.

His comments come amid growing discussions about the future role of AI in various industries, including programming. Krishna also acknowledged the ongoing challenges in AI, such as intellectual property concerns and the need for energy-efficient models.

Krishna further stated that while AI would become cheaper and more accessible, it would not be the key to groundbreaking scientific discoveries. Instead, he emphasised the potential of quantum computing to accelerate innovation, with IBM’s ongoing investments in the technology.

His remarks highlighted both the promise and the limitations of AI, positioning it as an important tool in advancing industries but not a solution to all challenges.

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Elea introduces AI-powered solution for pathology labs

Elea, a Hamburg-based startup, is harnessing the power of AI to tackle inefficiencies in healthcare, starting with pathology labs.

The company’s AI operating system replaces outdated systems, offering a voice-powered solution that automates tasks such as report transcription and data handling.

Elea’s tool promises to significantly reduce the time it takes for labs to generate reports, with initial results showing a reduction from weeks to just a few days.

The AI system is designed to integrate seamlessly into existing lab processes, acting as an all-in-one solution that coordinates tasks traditionally managed by separate systems.

Elea’s cloud-based platform uses speech-to-text and text-to-structure technologies to automate everything from report writing to handling laboratory equipment, streamlining operations and reducing human error.

Founded in 2024, Elea has already secured a partnership with a major German hospital group, and it plans to expand internationally, particularly into the US The company recently raised €4 million in seed funding to support its growth.

Elea is betting on a gradual scaling strategy, aiming to improve productivity in pathology labs before potentially expanding its AI tools to other areas of healthcare, such as radiology.

Despite potential challenges, including accuracy concerns and data privacy, Elea is confident in its ability to revolutionise lab work.

By focusing on operational workflows, the German company hopes to improve both the speed and reliability of healthcare services, offering a glimpse into the future of AI in the medical field.

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Tech giants join forces to promote global standards for data provenance and AI transparency

OASIS Open, a global open-source and standards organisation, and the Data & Trust Alliance, a consortium focused on responsible data and AI practices, have announced the formation of the OASIS Data Provenance Standards Technical Committee (DPS TC).

The committee will build upon version 1.0.0 of the Data Provenance Standards developed by the Data & Trust Alliance’s cross-industry Working Group, expanding industry participation to establish formal technical standards for data transparency, accountability, and trust. Founding sponsors include Cisco, IBM, Intel, Microsoft, and Red Hat.

As AI adoption accelerates, organisations face increasing challenges in verifying data sources, ensuring compliance, and maintaining data integrity. The DPS TC aims to create a standardised metadata framework that tracks data lineage, transformations, and compliance across various platforms. This initiative will help organisations improve governance practices, mitigate risks related to data privacy and intellectual property, and enhance transparency in AI-driven applications.

The committee’s work will focus on:

  • Standardised data lineage tracking: Establishing clear and consistent methods for documenting data origins and transformations.
  • Compliance and risk management: Supporting organisations in meeting regulatory and ethical standards for data use.
  • Interoperability across platforms: Ensuring metadata models can be applied consistently across different databases, tables, and data pipelines.
  • Transparency for data users: Providing businesses and individuals with visibility into how data is sourced and managed.

IBM has already tested an early version of the standards, integrating them into its governance framework. According to Christina Montgomery, Chief Privacy and Trust Officer at IBM, this resulted in measurable improvements in data diligence and management processes.

The DPS TC will hold its first meeting on 8 April 2025, with participation open to organisations, industry leaders, and experts through OASIS membership. The committee aims to refine existing standards and develop implementation tools, with a goal of introducing broadly applicable metadata quality metrics within the next 12 to 18 months.

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Spain approves bill to regulate AI-generated content

Spain’s government has approved a bill imposing heavy fines on companies that fail to label AI-generated content, aiming to combat the spread of deepfakes.

The legislation, which aligns with the European Union’s AI Act, classifies non-compliance as a serious offence, with penalties reaching up to €35 million or 7% of a company’s global revenue.

Digital Transformation Minister Oscar Lopez stressed that AI can be a force for good but also a tool for misinformation and threats to democracy.

The bill also bans manipulative AI techniques, such as subliminal messaging targeting vulnerable groups, and restricts the use of AI-driven biometric profiling, except in cases of national security.

Spain is one of the first EU nations to implement these strict AI regulations, going beyond the looser US approach, which relies on voluntary compliance.

A newly established AI supervisory agency, AESIA, will oversee enforcement, alongside sector-specific regulators handling privacy, financial markets, and law enforcement concerns.

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OpenAI launches responses API to boost AI agents

OpenAI has unveiled new tools for developers to build advanced AI agents, stepping up its game amid rising competition from Chinese startups.

The latest offering, called the Responses API, allows developers to create AI systems that execute complex tasks independently. This new tool replaces the Assistants API, which will be phased out by mid-2026.

The launch comes as Chinese startups make rapid advances in AI, with some claiming their models rival or surpass those of leading US firms at a lower cost.

One such company, Monica, recently introduced its autonomous AI agent, Manus, which it says outperforms OpenAI’s DeepResearch agent.

Monica’s rise follows growing recognition of Chinese AI innovations, including DeepSeek, which has impressed Silicon Valley executives.

On Tuesday, Monica announced a partnership with the team behind Alibaba’s Qwen AI models, further intensifying the global AI race.

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ServiceNow expands AI capabilities with $2.9B acquisition

ServiceNow has struck a significant deal, acquiring AI firm Moveworks for $2.85 billion in cash and stock, marking its largest-ever acquisition. This move comes as companies are increasingly investing in generative AI to streamline operations. ServiceNow, which is based in Santa Clara, California, US, plans to integrate Moveworks’ AI technology into its own platform, further enhancing its IT operations offerings.

Moveworks, known for its AI solutions that help resolve employee issues through chat, has a strong customer base, including companies like Broadcom, Palo Alto Networks, and Pinterest. The deal will bring more than 500 employees from Moveworks into ServiceNow, with no layoffs anticipated.

Despite the deal’s size, ServiceNow does not expect regulatory challenges to hinder the transaction, which is expected to close in the second half of 2025. Following the announcement, ServiceNow’s shares saw a 7% dip. Moveworks had previously raised $315 million, reaching a valuation of $2.1 billion before this acquisition.

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