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Cognitive analytics employs various analytical techniques to structure large datasets, providing insights from unstructured data. Essentially, it searches through its knowledge base to offer solutions relevant to posed questions, akin to human-like intelligence. This includes understanding context, recognizing objects in images, and utilizing AI algorithms and machine learning for continuous improvement. By uncovering patterns and connections, cognitive analytics reveals insights beyond the capabilities of traditional analytics. Integration of products with IoT devices and big data platforms enables real-time data analysis and decision-making, unlocking new opportunities for businesses to optimize operations, improve customer experiences, and drive innovation. This integration drives demand for such solutions and fosters market expansion.
The integration of such products into healthcare streamlines processes and enhances decision-making capabilities. By leveraging these tools, organizations can optimize resources and improve patient outcomes.
As per a report by Fortune Business Insights™, the market for cognitive analytics was valued at USD 3.95 billion in 2023 and is set to reach USD 44.51 billion by 2032, exhibiting a CAGR of 30.8% during the forecast period of 2024-2032. The market is also set to reach USD 5.20 billion in 2024. Top cognitive analytics companies are recognized for their established production facilities, distribution networks, and brand visibility, serving diverse applications and customer segments.
IBM Watson enables machines to recognize, learn from, and engage with humans. This empowers organizations to develop comprehensive digital models by understanding various aspects of individuals, including personality traits, needs, values, cognitive styles, motivations, and communication preferences.
Capgemini's "Analytics & Cognitive" division offers various cognitive analytics solutions such as Cognitive Document Processing and Cognitive Procurement Services. These solutions are built on data-driven innovation, incorporating Analytics, AI, Integration, BI, and Master Data concepts. In October 2022, Capgemini Group announced acquiring Braincourt, enhancing its business intelligence and data science services. The acquisition strengthens Capgemini's capacity to address data demands and analytical requirements in Germany and Northern Europe.
SAS Grid Manager and SAS Viya are designed for modern business analytics but are limited by data responsiveness and storage IOPS. Demand for SAS Analytics in AI, ML, and data-driven applications is increasing across sectors such as healthcare, IoT, and finance. In May 2021, champions of the SAS global Hackathon tackled challenges using AI and big data, leveraging cloud-native SAS Viya and Microsoft Azure. Teams worldwide utilized these tools to enhance businesses, improve lives, and promote a healthier world.
Google Cloud Platform (GCP) offered by one of the top cognitive analytics provides cognitive analytics services, utilizing AI and ML algorithms for smarter application development. In May 2023, TCS enhanced its partnership with Google Cloud, introducing TCS Generative Artificial Intelligence. Leveraging Google Cloud's generative AI and cognitive services, TCS aims to deliver customized business solutions, accelerating client growth and transformation.
Microsoft Azure offers a comprehensive cloud computing platform with services spanning computation, storage, networking, analysis, and AI. Azure Cognitive Services provides APIs for integrating advanced AI capabilities such as speech recognition, image recognition, face detection, and NLP into projects. In October 2023, Microsoft introduced new data and AI solutions aimed at enhancing insights and experiences in healthcare for medical professionals and patients.
Nuance Communications offers cognitive analytics solutions to extract valuable insights from information, including mPower Clinical Analytics and Nuance Insights. In September 2023, as a Microsoft Company, Nuance launched Dragon Ambient eXperience Copilot (formerly DAX Express). This tool uses conversational, ambient, and generative AI to assist doctors in simplifying medical documentation creation, reducing burnout, and enhancing clinical efficiency, ultimately delivering high-quality care.
Cisco Threat Analytics enables rapid detection and response to sophisticated attacks, scanning for suspicious web traffic. In January 2021, Cisco rebranded Cognitive Intelligence to Global Threat Alerts, with Alert Fusion as the default web interface, ensuring consistency and alignment of terminology for users.
Oracle Analytics Cloud is a unified platform for running analytics and business intelligence across various environments and devices. It seamlessly integrates with existing ecosystems, enabling cloud-based analysis and access to distributed data sources. In October 2022, Oracle unveiled innovations in its cloud version, aimed at boosting productivity for business users by reducing IT reliance. These enhancements include advanced composite visualizations for better data interpretation and expanded AI/ML capabilities leveraging services such as VisionAI for processing visual information.
Infosys offers cognitive analytics technology platforms with image recognition, NLU, and perspective development capabilities, enabling AI-driven solutions for streamlined processes and real-time operations. Their cognitive automation studio facilitates the creation of digital workforces, accelerating automation adoption and enhancing human capital. In May 2023, Infosys launched Infosys Topaz, leveraging generative AI technology to empower individuals, businesses, and communities with AI-first platforms, solutions, and services. It aims to unlock new opportunities and increase value creation by harnessing Infosys' AI framework to deliver cognitive solutions.
Intel Labs conducts cognitive AI research to enhance architecture with stratification and convenience, storing knowledge and applying common sense reasoning. In June 2020, Intel launched its 3rd generation Intel Xeon Scalable processors, facilitating accelerated development and deployment of analytics and AI workloads across networks, data centers, and intelligent edge environments, alongside updates to its AI hardware and software portfolio.
Cognitive analytics, illustrated by platforms such as Microsoft’s Cortana and IBM’s Watson, signals a significant transformation in healthcare. These tools offer groundbreaking insights by analyzing vast arrays of unstructured data such as images, emails, texts, and social media posts. By adopting this technique, the medical industry initiates a transformative journey, departing from conventional analytics approaches. This shift in paradigm promises a future marked by increased efficiency, personalization, and ultimately, improved health outcomes for everyone. In embracing this type of analytics, the medical industry embarks on a transformative journey, breaking away from traditional analytics methodologies. This paradigm shift holds the promise of a more efficient, personalized, and ultimately, healthier future for all.
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