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4 PROFESSIONAL ENGLISH

 
According to Forrester: 
Analytics at the speed of transactions has become an important agenda item for organizations. 
Translytical data platforms, an emerging technology, deliver faster access to business data to 
support various workloads and use cases. Enterprise architecture pros can use them to drive new 
business initiatives. 
451 Research also calls out the idea of seizing the moment: 
Organizations are zeroing in on the so-called “transaction window” and realizing that it presents a 
significant opportunity – and once it’s gone, it’s gone for good. 
The largest industry sectors are using these converged technologies for their intelligent applications. 
These applications collect and process data from a variety of sources, provide experiences in real 
time, and make use of the latest techniques in machine learning and artificial intelligence to push 
their usefulness forward. 
Consider the following examples. 
 
Finance 
A popular intelligent application in finance is the new frontier of digital wealth management, 
including real-time portfolio analytics for clients across any platform. As one example, JP Morgan 
Chase highlighted its investment in digital wealth management in an investor presentation last year. 
Behind the scenes, many of these digital wealth services are powered by digital startups such as 
InvestCloud, which states that its wealth management products “allow wealth managers to get a 
whole view of their clients—instantaneously and at scale.” Other companies in this space include 
SigFig, which showcases “experience integrating our platform with TD Ameritrade, Charles 
Schwab, Vanguard, E*Trade, among others.” 
 
 


80 
Energy 
In the energy sector, intelligent applications include IoT data pipelines using sensor data. Real-time 
capture and analysis of this data, with machine learning model scoring, provides helpful downtime 
mitigation and savings for global companies. Shell describes its advanced analytics for sensor 
collection on its website: 
Digital sensors installed in our operations around the world—from production fields to 
manufacturing complexes—produce a constant flow of data which we analyze to improve processes 
and take better business decisions. 
The technology can optimize the performance of plants by predicting when maintenance will be 
needed, to avoid unplanned downtime and lost productivity. 
More than 5,000 machines globally connect to the system, which is thought to have saved more 
than 3.5 million barrels in lost production since its introduction. 
 
Media 
Perhaps no transformation is more visible in media than the shift from broadcast and cable 
television to real-time streaming. This change drives media companies to seek end user analytics 
and advertising opportunities tied to streaming, and key intelligent applications to drive revenue. 
This technology race led Disney to acquire a majority stake in BAMTech. Disney said the following 
in a news release: 
The media landscape is increasingly defined by direct relationships between content creators and 
consumers, and our control of BAMTech’s full array of innovative technology will give us the 
power to forge those connections, along with the flexibility to quickly adapt to shifts in the market. 
See more at: 
https://www.computerworld.com/article/3185781/smartphones/sleek-new-
galaxy-s8-phones-feature-facial-recognition-bixby-intelligent-agent.html
  

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