Not exact matches
For example,
predictive analytics is about technology
helping marketers make better choices ahead
of executing a decision.
Lastly, the network standard will also
help usher in a new era
of «personalized health care,» in which massive volumes
of patient data can be used to develop
predictive analytics which can then be tailored to an individual patient and their illness.
Joseph Pigato is the managing director
of Sparked, which
helps companies retain their customers through sophisticated
predictive analytics and engagement tools.
«With more than 900 million listings on eBay, there is an enormous opportunity to extend our experience in machine learning and
predictive analytics to
help eBay identify important product attributes that can affect the price
of a product,» said Yaron Zakai - Or.
A new report published online today in JAMA Psychiatry suggests that big data
predictive analytic methods might
help address the problem
of determining which recently discharged patients are at highest risk for suicide.
Georgia Southern University (Georgia Southern), the state's largest and most comprehensive center
of higher education south
of Atlanta, is using Brightspace's
predictive analytics and data visualizations to
help identify at - risk students early and pave the way to improved student success.
«In the long - term we want to leverage the power
of the legal brief to create collaborative tools and
predictive analytics to
help lawyers (especially solo practitioners) more effectively conduct legal research.»
Our AI - powered
predictive analytics will
help you to gain better understanding
of what these changes mean to your clients and your organization.
Lawyers need to also take advantage
of new tools which development in technology have brought about to work more effectively — lawyers now have access to tools that
help make contract drafting and review quicker using artificial intelligence; tools that speed up research time by using electronic law reports, and there are even tools in other jurisdictions which attempt to use data to predict outcomes
of court cases using
predictive analytics.
Analytics can
help supplement
predictive coding — by visually clarifying its results, accelerating review
of the remaining materials, and even assisting in trial and deposition preparation.
At present, Big Data tools for the legal profession are focused primarily on
helping law firms to enhance their internal business functions and processes, such as time management and billing, or for
predictive analytics in a range
of internal legal applications.
For these types
of matters,
predictive coding can
help get the job done quickly, while
analytics can offer the confidence that the company's response is thorough.
He has represented nearly every class
of manufacturer in both the litigation and transactional arenas, and has built a reputation for
helping clients avoid, mitigate and manage pending and potential litigation risks through
predictive analytics, due diligence, deal structuring, pre-marketing risk assessment, and the development
of strategic solutions to acquired risks.
The use
of predictive analytics helps to predict and prevent illnesses before they happen.
Forward - thinking organisations will also use these tests and interpret the results to
help with their onboarding process, to
help grow high performing teams, to embed a consistent, strong corporate culture and to predict candidate performance within a role as part
of predictive analytics; a rapidly growing field
of human resource development.
To
help solve this seemingly chaotic information problem,
predictive analytics by RChilli focuses simply on what is relevant and important to the business
of the hiring company.
Provide
predictive analytics on employee data to
help the automation
of security requests across company
We're investing in enhancements to our Leverage and Zap platforms to
help agents take advantage
of the very best practices from across our network and use
predictive analytics to get more listings.
Key takeaways included: 1) The permanent shift towards experiential retail with a clear focus on experiencing a brand's culture and community, as well as testing and touching products before buying them; 2) the rise
of shared office spaces stemming from new work habits which have created a market for office space which isn't owned by an employer, but that workers can rent or subscribe to as members; 3) the importance
of predictive investment
analytics has created greater access to data and data tools that can
help practitioners track with and get ahead
of markets trends; 4) the increasing need to focus on more responsible and effective land use as it becomes an increasingly precious commodity; 5) the rise
of automation in the transportation industry which is driving a need for nimbler supply chains connecting scalable manufacturing spaces and warehouses in the industrial sector.
Our acquisition
of Thompson Associates in 2003 gave us a greater understanding
of the kind
of predictive analytics that
help retailers make vital strategic decisions.
Not only has the San Francisco - based firm redefined the practice
of home valuation in terms
of accuracy — with a median error
of 2.5 percent and declining every month as the company's algorithms process more data — it is
helping real estate professionals set themselves apart with the burgeoning power
of predictive analytics, elevating them from average real estate agent to invaluable financial advisor.
«Whether the remodel involves adding square footage to the home in question through a new wing or addition, or something simpler like putting a deck on a home, HouseCanary's
predictive analytics can
help consumers understand where their current home stands in terms
of building size and lot size, and can parse the popularity
of different home attributes within the neighborhood,» explains Sicklick.