TIDMINSG
Insig AI Plc
04 October 2021
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Insig AI plc
("Insig AI" or the "Company")
Release of Insig Portfolio 2.0
Insig Portfolio 2.0 significantly enhances the data science tool
kit
available to asset managers.
Insig AI, the technology company that provides machine learning
solutions for asset managers, is pleased to announce the second
major release of its flagship software, Insig Portfolio.
Insig Portfolio is a user-friendly web application which
provides portfolio managers of all sizes and strategies with
additional data driven insights to aid their investment decisions.
Insig Portfolio was developed to alleviate the frustration of asset
managers currently working with error-prone spreadsheets, and to
remove the time-consuming effort of building data science
applications in-house.
To address these issues, Insig Portfolio has a framework-based
architecture that is easily tailored to a portfolio manager's
investment thesis and preferred sources of data. At the same time,
Insig Portfolio's analytics are underpinned by a robust data
management process, freeing analysts and portfolio managers from
the need to do time consuming manual data updates.
Furthermore, Insig Portfolio includes functionality to explore
financial data, ESG metrics, identify important financial features,
construct portfolios with machine learning or screening tools,
measure and optimise risk exposures, and attribute portfolio
performance to regions, sectors and other idiosyncratic
characteristics.
Exponential growth in computing processing power has widened the
information gap between asset managers with traditional,
inefficient data systems and those with easily accessible,
efficient data management systems. Insig Portfolio leverages its
cloud infrastructure to reduce the constraint of limited computing
power with access to multiple cloud-based machines.
Jaco Venter, Head of Asset Management and Data Science, Insig
AI, commented: "This second release of Insig Portfolio is a major
push forward in both capability and usability, allowing investment
analysts and portfolio managers to easily slice and dice financial
data to enhance investment decision-making based on data
exploration, visualisation and machine learning from targeted stock
universes."
Steve Cracknell, Chief Executive, Insig AI, added: "In addition
to financial metrics, we have also developed Insig Portfolio to
leverage our ESG machine learning classifiers. This helps meet
increasing client demand for more integrated ESG metrics to enable
deeper analysis. The sophistication of our data platform makes the
integration of multiple data sets easily accessible to our
clients.
"We already have 4 potential clients currently trialling Insig
Portfolio who have each agreed to upgrade to this new v2.0 and we
are optimistic that further potential clients will wish to have
meetings with us to understand the capabilities of Insig Portfolio
2.0 and benefits to their business."
On 7 October 2021 at 3pm (BST), Insig AI will host an online
demonstration of Insig Portfolio 2.0. To pre-register, please
contact: i nfo@insg.ai
For further information, please visit www.insg.ai , or
contact:
Insig AI plc
Steve Cracknell, CEO Via SEC Newgate
Zeus Capital Limited (Nominated Adviser Tel: +44 (0) 203 829 5000
& Broker)
David Foreman / James Hornigold
SEC Newgate (Financial PR) Tel: +44 (0) 7540 106
366
Robin Tozer / Tom Carnegie / Richard Email: insigai@secnewgate.co.uk
Bicknell
About Insig AI
Insig is an AI and machine learning company that has developed a
range of products to transform its clients' competitiveness through
unlocking the power of their data.
The products integrate software, data science and cloud
computing to help asset managers make better decisions, generate
value, and manage their workflow more effectively. The products can
be used alone or together. Insig Portfolio is the Company's
flagship product, as described further above.
Other products include:
-- Insig ESG - empowers asset managers to develop a credible
data-driven ESG strategy (and bespoke scoring) through
interrogating company reports, documents & data
-- Insig Data - takes data from third party providers and
transforms it into a machine-readable format, allowing machine
learning and analysis to be conducted on that data. It is rapidly
deployed, data-agnostic, and easy to implement.
-- Insig Docs - automatically extracts, stores and tags data
from documents, enabling you to access, unlock and visualise large
amounts of data.
-- Insig Exceleton - converts complex Excel spreadsheets into
Python code. It allows users to move beyond Excel's limitations on
scalability, automation and data connectivity, by enabling machine
learning and other data analytics to be conducted on your data. The
process requires zero user coding and enables the full benefits of
machine learning.
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