Artificial Intelligence Drives Disruption in the Analytics Space, Finds Frost & Sullivan

The availability of ever-increasing amounts of structured and unstructured data, along with higher, cheaper and faster computing power, has been essential for the development of advanced analytics. The Internet of Things (IoT) has also boosted the development of the streaming analytics market through sensor-driven, real-time insights into consumer behavior.
10 months ago

CAPE TOWN, South Africa, March 12, 2018 /PRNewswire

Advancements in analytics technologies and convergence of technologies have led to transformational breakthroughs in the business landscape, enabling companies to gain a competitive advantage and create new ways of generating revenues. The availability of ever-increasing amounts of structured and unstructured data, along with higher, cheaper and faster computing power, has been essential for the development of advanced analytics. The Internet of Things (IoT) has also boosted the development of the streaming analytics market through sensor-driven, real-time insights into consumer behavior.

  • Advanced analytics is impacting several key industries. For example, analytics will be hugely disruptive to the healthcare space, greatly accelerating the drug discovery process.
  • Image analytics will automate and improve the accuracy of diagnosis by reducing error rates.
  • The automotive segment will depend on advancements in analytics for its evolution and adoption. Machine learning will push the self-driving industry, and emotion analytics will eventually be adapted to determine driver behavior.
  • The advertising and media space will also increasingly use advanced analytics technologies to measure consumer sentiment and perceptions, and adapt product mix and marketing strategy. Sentiment analytics and social media analytics will increasingly be adopted by advertisers to determine ROI.

Analytics companies have typically based their decisions on standardized data available in the marketplace. However, this data does not always provide a complete picture to make the best predictive decisions. Therefore, businesses are now leveraging data from across application areas to create much better predictive models. For example, auto insurance companies can use "orthogonal data" from vehicle telematics systems to make better predictive models to calculate premiums.

Source: Frost & Sullivan

Illustration Photo: Self driving Uber (credits: zombieite / Flickr Creative Commons Attribution 2.0 Generic (CC BY 2.0))

Read more

Comments

No comments to display.

Related posts

EU Call for Proposals: Multi-use of the marine space, offshore and near-shore: pilot demonstrators

Activities shall develop pilots by involving industrial actors and by integrating the available knowledge, technologies and facilities, in particular capitalising on the results of EU and national projects for the development of multi-use platforms or co-location of different activities in a marine space, and relevant support offshore vessels and autonomous vehicles.
Application Deadline in 2 days
16 hours ago

EU Call for Proposals: The Future of Seas and Oceans Flagship Initiative

Proposals shall address one of the following sub-topics: blue cloud services, or ocean observations and forecasting, or technologies for observations (in 2020). Actions shall demonstrate integration, capacity and (scientific, economic etc) potential.
Application Deadline in 2 days
17 hours ago

EU's Call for Proposals: Modelling international trade in agri-food products

Trade modelling has a long-standing tradition but some issues are notoriously difficult to assess and include in the existing simulation models.
Application Deadline in 2 days

EU Call for Proposals: Circular bio-based business models for rural communities

Based on an established agro-food system, proposals shall consider a variety of additional bio-based processes and end products that could be integrated into the system, and that are viable on a small scale (farm to rural community level).
Application Deadline in 2 days
17 hours ago

The Infant Formula Testing Market is expected grow at a CAGR of 6.9% to reach revenue of $20.26billion by 2023.

Infant formula is one of the emerging markets in food and beverage industry. It is basically used for the infants whose age is below 12 months (preferably).

UNICEF Innovation Fund's Call for Applications: Data science, machine learning, artificial intelligence or similar technology solutions

The UNICEF Innovation Fund is looking to make up to 100K equity-free investments to provide early stage (seed) finance to for-profit technology start-ups that have the potential to benefit humanity. If you’ve got a start-up registered in one of UNICEF’s programme countries and have a working, open source prototype (or you are willing to make it open-source) showing promising results, the UNICEF Innovation Fund is looking for you.
Application Deadline in a month

Etisalat Digital accelerates adoption of Artificial Intelligence and Blockchain in the United Arab Emirates

Etisalat Digital selects four disruptive companies to join Future Now scaleup programme after Dubai Future Accelerators collaboration.

European Venture Investment Reaches All-Time High

Europe's venture capital investment eclipsed €20 billion for the first time ever, according to PitchBook's 4Q 2018 European Venture Report. Despite the 25.9% drop in deal volume year-over-year (YoY), swelling deal sizes and increased interest from nontraditional investors helped drive deal value to the high-water mark.

The African Union Ten Years Aquaculture Action Plan for Africa 2016 - 2025

The prospects for Africa’s aquaculture are enormous. They are defned by the continent’s vast aquatic resources, land mass and climate that are suitable for the production of an array fsh species and essential inputs such as ingredients for feed. Of added advantage, is the fact that most of the world’s important tropical and sub-tropical aquaculture species are native to Africa.

Singapore-based SEEDS Capital appoints seven partners to co-invest in agrifood tech startups

SEEDS Capital, the investment arm of Enterprise Singapore, has appointed seven co-investment partners under Startup SG Equity. This will catalyse more than S$90 million worth of investments to develop Singapore-based startups in the Agrifood tech sector. This was announced by Senior Minister of State for Trade and Industry, Dr Koh Poh Koon, at the opening of Indoor Ag-Con Asia.