Open a new Microsoft® Word document, and enter your answer to one of the prompts
ID: 3739514 • Letter: O
Question
Open a new Microsoft® Word document, and enter your answer to one of the prompts below:
Scan the articles that appear and find articles that discuss the use of big data in your career field or a field in which you are interested. What benefits are being delivered? What are some of the hardware and software tools being employed? What complications are limiting the results of big data? Write a paragraph or two answering each of these questions.
Many executives still mistrust the results of big data and analytics. Scan for articles that address this issue and summarize the key reasons why. How might these issues be overcome?
IBM Watson is a question answering computer system capable of answering questions posed in natural language. Scan the articles that appeal and develop a one-page report that either discusses how Watson is “trained” or an application of Watson of interest to you.
Save the file on your computer with your last name in the file name. (Example: part_02_Jones.doc)
Click the Browse button below to find and select your saved document, and then click Submit Assignment for Grading.
Explanation / Answer
Let’s divide the question into subparts .
QUESTION 1: Scan the articles that appear and find articles that discuss the use of big data in your career field or a field in which you are interested. What benefits are being delivered?
The career of my interest is Health & Medicine
QUESTION 2: What are some of the hardware and software tools being employed?
Hardware :
Software :
• Supporting National Instruments softwares
• Supporting 3rd party languages Microsoft C/C++
• Measurement & Automation Explorer
• MAX provides access to all your National Instruments DAQ, GPIB, IMAQ, IVI, Motion, VISA, and VXI devices
• Used for configuring and testing devices
• Functionality broken into: Data Neighborhood, Devices and Interfaces, Scales Software
QUESTION 3 : What complications are limiting the results of big data?
1. Measuring the wrong thing
2. Biased samples
3. Dependence
4. Uncommon support
QUESTION 4: Write a paragraph or two answering each of these questions.
Many executives still mistrust the results of big data and analytics. Scan for articles that address this issue and summarize the key reasons why. How might these issues be overcome?
Reasons of Mistrust
Organizations everywhere are using data discovery and analysis to inform business decisions. Gartner estimates that more than half of net new purchasing is datadiscovery-driven.1 But just because you’re using corporate data doesn’t mean that you’re getting the whole story behind what’s happening within your business. Without the right data discovery approach, you can end up with data chaos, untrustworthy reports, and visualizations that can lead to dubious business decisions.
Different people are getting different results.: ? Do we have all the data?
QUESTION 5 : IBM Watson is a question answering computer system capable of answering questions posed in natural language. Scan the articles that appeal and develop a one-page report that either discusses how Watson is “trained” or an application of Watson of interest to you.
Here are five different types of applications where Watson is making an impact.
1. Healthcare
The medical field is the sector that is likely being impacted the most by Watson. For starters, Watson has taken residence at three of the top cancers hospitals in the US -- Memorial Sloan Kettering Cancer Center, University of Texas MD Anderson Cancer Center, and the Mayo Clinic -- where it helps with cancer research and patient care. In terms of cancer research, Watson is speeding up DNA analysis in cancer patients to help make their treatment more effective.
For physicians, Watson is helping with diagnoses. A dermatology app called schEMA allows doctors to input patient data and, using natural-language processing (NLP), helps identify potential symptoms and treatments. Additionally, Watson uses vision recognition to help doctors read scans such as X-rays and MRIs to better narrow the focus on a potential ailment.
It's used in veterinary medicine as well.
2. Finance
In the financial sector, Watson use is typically geared toward its question and answer capabilities. By not only answering questions, but also analyzing them as well, Watson can help give financial guidance and help manage financial risk.
In Australia, the company ANZ Global Wealth is focused on the latter. The company uses the Watson Engagement Advisor Tool, an NLP SaaS offering, to observe and field customer questions. Similarly, DBS bank in Singapore uses Watson to ensure the proper advice and experience for customers of its wealth management business.
3. Legal
When it comes to the law, most of us likely have more questions than answers on any topic. However, startups such as ROSS Intelligence Inc. are using Watson to make it easier to get answers to your burning legal questions.
According to ROSS's website, users can ask questions in plain English and the app uses NLP to understand the questions and then sifts through the entirety of a database to return a cited answer with relevant legislation. ROSS also monitors potential changes to relevant laws and alerts you when changes occur.
Singapore's Inland Revenue Authority is another organization using Watson to help answer legal questions, deploying Watson to field questions about tax.
4. Retail
Modern retail experiences are all about personalization. Natural Selection is an app created by Sellpoints that uses Watson's NLP capabilities to present products to customers at the most appropriate point in the buying cycle. This can help reduce the overall number of clicks until conversion for an online retailer.
Watson is also being used in online travel purchases. Travel company WayBlazer has created a Discovery Engine that uses Watson to take in and analyze data to better link additional offers and customize preferences for individual consumers.
5. Fantasy Football
This may seem like an odd place for IBM Watson to make a mark, but the fact is that there's a ton of data that can be leveraged in fantasy sports. Edge Up Sports has a Watson-powered platform that analyzes NFL data to help fantasy football fans make better choices during the season. It analyzes data such as news about the teams and tweets from individual players. It specifically relies on Watson APIs and IBM Watson Personality Insights to streamline the research process for fantasy sports.
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