
Market Logic Launches DeepSights Agents
DeepSights Agents offer automated trend monitoring and AI-supported product innovation, helping organisations accelerate development cycles and improve decision-making in market research.
Market Logic has introduced DeepSights Agents, a new addition to its AI-driven market intelligence platform. The initial agents are trained to identify gaps in the market, support idea development, and help shape new product concepts. The solution is aimed at helping companies shorten their innovation cycles.
Two types of DeepSights Agents will underpin a new model for driving business impact from AI-based market intelligence technology. Together, they will provide end-to-end support for new product development. DeepSights Consumer Trends Agents offer continuous monitoring and analysis of market data, enabling enterprises to move from manual insight-gathering to automated, real-time intelligence. This represents a shift toward more proactive approaches in market research.
DeepSights Innovation Agents are designed to support project teams in a collaborative human-AI framework. These agents will operate within the DeepSights Innovation Studio—an application that also includes customisable workflows and templates to guide users through each stage of the innovation process.
'It's time to move market research and intelligence into the driving seat for growth strategies. Agentic AI presents an opportunity to make sense of market signals 24×7 and accelerate innovation momentum,' said Olaf Lenzmann, Chief Product and Innovation Officer, Market Logic Software.
'Companies that redefine their processes to embrace these capabilities will be the ones to anticipate consumer needs and steal a march on their competition.'
Richard Davies, Founder, Alchemy-RX, said, 'When the pace of innovation slows, growth inevitably slows. We see the potential for DeepSights Agents to reverse this decline and enable a step-change in the volume of high-quality concepts brands bring into their innovation pipeline.'
'Our proven ideation methodology will benefit by applying this systematic, data-driven approach to the innovation process for our customers.'
DeepSights Agents will be generally available from August and are designed for use across industries such as Pharmaceuticals, CPG, Retail, and Financial Services. Market Logic, along with its partner network, will provide expert support to help organisations implement and tailor the solution to fit specific market needs.
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Liferay DXP helps marketers deliver personalised and connected digital experiences across a broad range of channels, including customer portals, websites, intranets, mobile apps, and connected devices. It offers intuitive CMS, user analytics, and site management tools that businesses need to launch, test and optimise digital experiences for faster go-to-market.
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Powered by IBM Consulting, IBM iX offers a composable DXP, providing a comprehensive solution to make enterprises' systems future-ready. Utilising its data-driven insights and intelligent workflows, marketers can design and deliver human-centred experiences across the customer lifecycle.
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HCL Digital Experience (DX), forms part of a wider HCL Customer Experience (CX) product portfolio, offering core capabilities such as content management, DAM, CDP called Signals, and low-code application development. It provides services in government, life sciences, insurance, financial services, and other verticals.
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Contentstack is a headless CMS and Composable Digital Experience Platform (DXP) solution provider that helps marketers gain a competitive edge. It recently launched into Google Cloud Marketplace, and is also available on Microsoft Azure and AWS. It seamlessly enables mid-market brands to adopt its omnichannel campaign engine to drive higher conversions and sales.
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Bloomreach Commerce Experience Cloud provides businesses an edge with its modular capabilities: Content Management System (CMS), Discovery features for search and merchandising optimisation, and Engagement tools such as Customer Data Platforms (CDP) for personalisation and analytics.
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Adobe Experience Cloud offers a comprehensive set of services specifically designed to address the day-to-day requirements for personalised customer experience at scale. Its platform helps manage different digital content and assets to improve customer satisfaction. Some of its products include Adobe Gen Studio, Experience Manager Sites, Real-time CDP, and Marketo Engage.
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Acquia offers DXP solutions, comprising of two main elements: Acquia Drupal Cloud and Acquia Marketing Cloud. It can be accessed in both platform-as-a-service (PaaS) and software-as-a-service (SaaS) with additional components such as Site Factory for multisite management, digital asset management (DAM), CDP, personalisation, and Campaign Studio.
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TECHx
10 hours ago
- TECHx
Why Generative AI Isn't a Silver Bullet for Healthcare
Home » Smart Sectors » Healthcare » Why Generative AI Isn't a Silver Bullet for Healthcare Generative AI is revolutionizing healthcare, but challenges remain. Ashley Woodbridge, Lenovo CTO META, explores why it's no silver bullet. The healthcare sector is on the brink of a significant surge in AI investment, projected to rise by an astounding 169% over the next year – the highest increase among all industries surveyed in EMEA. The uptick follows the promising early results of AI projects, where a remarkable 74% of healthcare AI pilot projects have met or exceeded expectations, with 13% surpassing them. Yet, despite this positive momentum, only 2% of healthcare organisations have actively deployed AI at scale with the majority of initiatives remaining in the pilot or planning stages. This raises the question: how can the industry and its partners move beyond this plateau? What is Generative AI Doing? For most people, their experience of Generative AI (GenAI), has been through conversations with chatbots, creating new content or summarising data. These lighter use cases have highlighted numerous challenges that must be addressed before widespread adoption can occur, especially in highly regulated industries like healthcare. One of the primary obstacles identified in the region wide survey is data quality. AI models, including GenAI, are only as effective as the data they are trained on. In healthcare, data often exists in silos, across incompatible systems, and in formats that are difficult to interpret. There are also important patient data privacy considerations to take into account. Despite the complexity involved in sorting and standardising this data, the potential benefits of tackling these issues and making it useable by AI are immense. For example, tools like Epic's 'Slicerdicer' allow healthcare professionals to query large datasets through conversational interfaces, uncovering important trends in patient outcomes and informing better care. The depth of queries is particularly powerful, allowing healthcare providers to uncover trends amongst patients that share a condition or illness that may have otherwise remained hidden. Taking the technology in a different direction, AI-powered 'ambient digital scribes' are being trialled by NHS doctors in the UK. These systems listen to patient appointments and automatically generate clinical notes, saving hours of administrative work and helping to reduce burnout among medical staff. However, healthcare providers must tread carefully. Public sentiment towards AI in healthcare remains cautious. 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Additionally, AI-powered chatbots and virtual health assistants are streamlining telemedicine services, providing preliminary diagnoses and scheduling appointments, thus improving access to care. AI's Role in Medical Research Beyond frontline care, GenAI is turbocharging work in the field of medical research. Earlier this year, a researcher at Imperial College London used an AI tool developed by Google to investigate why certain bacteria are resistant to antibiotics. In just 48 hours, the tool proposed four viable hypotheses, whereas it had taken scientists over a decade to finalise just a single hypothesis manually. The result was so astonishing that the original researcher initially suspected the AI had accessed unpublished work on his personal computer, which was proven not to have been the case. These breakthroughs are being made possible thanks to the high-performance computing systems behind increasingly powerful AI models. At Lenovo, we are proud to partner with the Broad Institute on genome analysis, helping researchers accelerate one of the most data-intensive tasks in science. The Lenovo Genomics Optimization and Scalability Tool (GOAST) reduces the time needed to analyse a whole human genome from over 100 hours to just 47 minutes. Other organizations are also harnessing advanced AI and computing tools to push the boundaries of healthcare. Hungarian company 3DHISTECH, for example, uses Lenovo's AMD Threadripper-powered ThinkStation P620 workstations to build detailed 3D virtual models of human and non-human tissue. These models can zoom in to the level of individual chromosomes, enabling new frontiers in digital pathology. Their systems are used by institutions around the world, including Harvard Medical School, Novartis, and the Wuhan Institute of Virology. Notably, a 3DHISTECH system played a pivotal role in diagnosing the first COVID-19 patient in China, demonstrating how AI-enabled technology can impact global health crises. The Human Element Remains Crucial While AI offers compelling advantages, it's important to remember that technology alone isn't the answer. The human touch in healthcare remains indispensable. Healthcare providers must ensure transparency in their AI implementations and address data quality issues to fully reap the benefits of AI. By doing so, they can enhance patient care, reduce burnout among medical staff, and drive groundbreaking research, all without sacrificing the trust and comfort of those they serve. In conclusion, the healthcare industry stands at the brink of an AI-driven revolution. With thoughtful implementation and a focus on maintaining trust, AI has the potential to transform healthcare for the better. The journey won't be without its challenges, but the rewards promise to be well worth the effort. By Ashley Woodbridge, CTO, Lenovo, META


Channel Post MEA
2 days ago
- Channel Post MEA
Data Center Capacity is Shifting Rapidly to Hyperscale Operators
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Channel Post MEA
2 days ago
- Channel Post MEA
Rubrik Acquires Predibase To Accelerate Agentic AI Adoption
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