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The platform is an advanced analytical and collaborative application to help credit players take
proactive actions and reduce significant losses in event of default or winding up by the borrowers.
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Contata Solutions, founded in 2000, is a Data Science Service provider & Software Application Development company headquartered in Minneapolis, US with 5 offices including offshore centers in India. We have a Software Engineering Group based in the Delhi-NCR region, India; a back-office support group based in Nagpur & Indore, India; and a sales office in Stockholm, Sweden.
Data Science Software Application Development Services IT Services.pdf.pdfContata Solutions
Contata Solutions, founded in 2000, is a Data Science Service provider & Software Application Development company headquartered in Minneapolis, US with 5 offices including offshore centers in India. We have a Software Engineering Group based in the Delhi-NCR region, India; a back-office support group based in Nagpur & Indore, India; and a sales office in Stockholm, Sweden.
How to choose the right modern bi and analytics tool for your business_.pdfAnil
We highlight Top 5 Business Intelligence Tools as suggested by Gartner and ask critical questions that can help organizations make better and informed decisions.
The platform is an advanced analytical and collaborative application to help credit players take
proactive actions and reduce significant losses in event of default or winding up by the borrowers.
Predictive Asset Optimization - Advanced AnalyticsLeonard Lee
IBM's solution offering for predictive analytics can help companies improve the management and maintenance of their assets as well as their customer installed base.
Data Science Software Application Development Services IT Services.pdf.pdfContata Solutions
Contata Solutions, founded in 2000, is a Data Science Service provider & Software Application Development company headquartered in Minneapolis, US with 5 offices including offshore centers in India. We have a Software Engineering Group based in the Delhi-NCR region, India; a back-office support group based in Nagpur & Indore, India; and a sales office in Stockholm, Sweden.
Data Science Software Application Development Services IT Services.pdf.pdfContata Solutions
Contata Solutions, founded in 2000, is a Data Science Service provider & Software Application Development company headquartered in Minneapolis, US with 5 offices including offshore centers in India. We have a Software Engineering Group based in the Delhi-NCR region, India; a back-office support group based in Nagpur & Indore, India; and a sales office in Stockholm, Sweden.
Now companies are in the middle of a renovation that forces them to be analytics-driven to
continue being competitive. Data analysis provides a complete insight about their business. It
also gives noteworthy advantages over their competitors. Analytics-driven insights compel
businesses to take action on service innovation, enhance client experience, detect irregularities in
process and provide extra time for product or service marketing. To work on analytics driven
activities, companies require to gather, analyse and store information from all possible sources.
Companies should bring appropriate tools and workflows in practice to analyse data rapidly and
unceasingly. They should obtain insight from data analysis result and make changes in their
business process and practice on the basis of gained result. It would help to be more agile than
their previous process and function.
How to Apply Machine Learning with R, H20, Apache Spark MLlib or PMML to Real...Kai Wähner
"Big Data" is currently a big hype. Large amounts of historical data are stored in Hadoop or other platforms. Business Intelligence tools and statistical computing are used to draw new knowledge and to find patterns from this data, for example for promotions, cross-selling or fraud detection. The key challenge is how these findings can be integrated from historical data into new transactions in real time to make customers happy, increase revenue or prevent fraud.
"Fast Data" via stream processing is the solution to embed patterns - which were obtained from analyzing historical data - into future transactions in real-time. This session uses several real world success stories to explain the concepts behind stream processing and its relation to Hadoop and other big data platforms. The session discusses how patterns and statistical models of R, Spark MLlib and other technologies can be integrated into real-time processing using open source frameworks (such as Apache Storm, Spark or Flink) or products (such as IBM InfoSphere Streams or TIBCO StreamBase). A live demo shows the complete development lifecycle combining analytics, machine learning and stream processing.
Fuel for the cognitive age: What's new in IBM predictive analytics IBM SPSS Software
IBM recently launched an updated version of its predictive analytics platform. Explore the latest features, including R, Python and Spark integration and more powerful decision optimization.
It is the presentation of my project .In this ppt we tell you about our project . In inventory management system we handled the management of my shop . It is best in your helping material . So download our ppt and take rest .
The Product Dev Conundrum: To Build or Buy in a Digital World?Aggregage
Any PM or technical leader who’s led the charge of building a digital product knows that product engineering is one of the most expensive elements of business. In most cases, actually building software should be the last avenue that companies explore to deliver great products, as software engineering, data science and product development are complex, uncertain and hard to manage.
How to analyze text data with Named Entity RecognitionSkyl.ai
The internet is a rich source of data, mainly textual data. But making use of huge quantities of data is a complex and time-consuming task. NLP can help with this problem through the use of Named Entity Recognition systems. Named entities are terms that refer to names, organisations, locations, values etc. NER annotates texts – marking where and what type of named entities occurred in it. This step significantly simplifies further use of such data, allowing for easy categorisation of documents, analyze sentiments, improving automatically generated summaries, etc.
Further, in many industries, the vocabulary keeps changing and growing with new research, abbreviations, long and complex constructions and makes it difficult to get accurate results or use rule-based methods. Named Entity Recognition and Classification can help to effectively extract, tag, index, and manage this fast and ever-growing knowledge.
Through this webinar, we will understand how NER can be used to extract key entities from large volumes of text data.
What you will learn:
- How organizations are leveraging Named Entity Recognition across various industries
- Live demo - Identify & classify complex terms & with NERC (Named Entity Recognition & Categorization)
- Best practice to automate machine learning models in hours not months
Agile Data Science is a lean methodology that is adopted from Agile Software Development. At the core it centers around people, interactions, and building minimally viable products to ship fast and often to solicit customer feedback. In this presentation, I describe how this work was done in the past with examples. Get started today with our help by visiting http://www.alpinenow.com
Take the Big Data Challenge - Take Advantage of ALL of Your Data 16 Sept 2014pietvz
A customer service call can transform internal processes. Information in Tweets and reviews can lead to better products. Structured and unstructured data brought together can reveal patterns and relationships that unlock powerful business opportunities. We will discuss real-world use cases and best practices for building the infrastructure you need to power Big Data analytics solutions. From the latest in Hadoop innovation, cognitive computing, and cloud-based analytical web services, you will learn how organizations large and small can harness the power of unstructured human information to create, deploy, and deliver the next generation of analytics applications.
Powered by HP IDOL, HP Autonomy delivers intelligent applications that allow your organization to understand the concepts and context of all information in real time, mitigating risk and identifying opportunity. Join us at this session to learn how HP Autonomy can unlock the value of your company’s structured and unstructured data for better insight and greater competitive advantage. HP IDOL, the OS for human information, enables you to index, manage, and process all your data, both structured and unstructured. Learn how HP IDOL delivers unprecedented insights into optimized architecture, scalability, performance, mapped security, and connectivity. Find out more about IDOLOnDemand.com and how you can leverage this revolutionary technology in your own organization.
Project 3 – Hollywood and IT· Find 10 incidents of Hollywood p.docxstilliegeorgiana
Project 3 – Hollywood and IT
· Find 10 incidents of Hollywood portraying IT security incorrectly
· You can use movies or TV episodes
· Write 2-5 paragraphs for each incident. Use supporting citations for each part.
· What has Hollywood portrayed wrong? Describe the scene and what is being shown. Make sure to state whether it is partially wrong or totally fictitious.
· How would you protect/secure against what they show (answers might include install firewall, load Antivirus etc.)
· Use APA formatting for your sources on everything.
· Make sure to put your name on assignment.
Big Data and Social Media
Colgate Palmolive
Agenda Of socail media use
Buisness intellegence and Social media concenpts
Intellegent organization
Data Anaylysis and Data trustworthiness
Conclusion
Buisness intellegence and Social media concenpts
No-Hassle Documentation
Gain Trusted Followers
Spy on Competition
Learn Customer Demographics
Research and Analyze Events
Advertise More Accurately
Intellegent organization
They consistently use (big) data proactively
They know exactly where they want to go: all-round vision
They continuously discuss business matters: alignment
They talk to each other regarding positive and negative performance
They know their customers through and through
They think and work in an agile way
Data Anaylysis and Data trustworthiness
Data completeness and accuracy
Data credibility
Data consistency
Data processing and algorithms
Data Validity
Conclusion
How Colgate benefit from Big Data and Social Media
Social media increases sales and customers
Big data shows popular trends and popular companies
All around they are both beneficial
Big Data can find trends that can benefit you greatly
Criteria
Title Page:
Name, Contact info, title of Presentation
Slide 1
Adenda : Topic you going to cover in order
Slide 2
Discuss how big data, social media concepts and knowledge to successfully create business intellegence (Support your bullets points with data, analysis, charts)
Slide 3
Describe how big data can be used to build an intelligent organization
Slide 4
Discuss the importance of data source trustworthiness and data analysis
Slide 5
Conclusion
Slide 6
Big Data And Business Intelligence
Business Value With Big Data
For business to survive in a competitive environment, organizational change requires improved governance, sponsorship, processes, and controls, in addition to new skill sets and technology all work in harmony to deliver the benefits of big data. See Fig. 13.2
Data science has taken the business world by storm. Every field of study and area of business has been affected as companies realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de fac to programming language for data science. Its flexibility, power, sophistication, and expressiveness have ma ...
Having developed itself as a saas head in office productivity and CRM tools, infox offers a number of data analytics platform gearing for both professional
data scientists and mid level staffers who need a self service option. The application has an instictive drag and drop interface and also a
classic spreadsheet interface. infox Analytics is geared for organization that need to give actionable data analytics insight to staffers at every stage.
Having developed itself as a saas head in office productivity and CRM tools, infox offers a number of data analytics platform gearing for both professional
data scientists and mid level staffers who need a self service option. The application has an instictive drag and drop interface and also a
classic spreadsheet interface. infox Analytics is geared for organization that need to give actionable data analytics insight to staffers at every stage.
Having developed itself as a saas head in office productivity and CRM tools, infox offers a number of data analytics platform gearing for both professional
data scientists and mid level staffers who need a self service option. The application has an instictive drag and drop interface and also a
classic spreadsheet interface. infox Analytics is geared for organization that need to give actionable data analytics insight to staffers at every stage.
http://www.infoxtechnologies.com/technologies.html
7 Benefits Of Business Intelligence In Finance.docxSameerShaik43
Business Intelligence is a process that allows getting data easily. It helps in getting information fast and making decisions are quick. Improved decision-making is the Business Intelligence’s best benefit. There will be practical BI benefits, and it helps achieve the goals.
https://www.tycoonstory.com/resource/7-benefits-of-business-intelligence-in-finance/
The new age big data technologies include predictive analytics, no SQL databases, search and knowledge discovery, stream analytics, in-memory data fabric, data virtualization and more.
A global leader in providing innovative IT consulting and development services across Cloud, Mobility, Big Data, Salesforce and Sharepoint for multiple industry verticals
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A global leader in providing innovative IT consulting and development services across Cloud, Mobility, Big Data, Salesforce and Sharepoint for multiple industry verticals
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Now companies are in the middle of a renovation that forces them to be analytics-driven to
continue being competitive. Data analysis provides a complete insight about their business. It
also gives noteworthy advantages over their competitors. Analytics-driven insights compel
businesses to take action on service innovation, enhance client experience, detect irregularities in
process and provide extra time for product or service marketing. To work on analytics driven
activities, companies require to gather, analyse and store information from all possible sources.
Companies should bring appropriate tools and workflows in practice to analyse data rapidly and
unceasingly. They should obtain insight from data analysis result and make changes in their
business process and practice on the basis of gained result. It would help to be more agile than
their previous process and function.
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"Fast Data" via stream processing is the solution to embed patterns - which were obtained from analyzing historical data - into future transactions in real-time. This session uses several real world success stories to explain the concepts behind stream processing and its relation to Hadoop and other big data platforms. The session discusses how patterns and statistical models of R, Spark MLlib and other technologies can be integrated into real-time processing using open source frameworks (such as Apache Storm, Spark or Flink) or products (such as IBM InfoSphere Streams or TIBCO StreamBase). A live demo shows the complete development lifecycle combining analytics, machine learning and stream processing.
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It is the presentation of my project .In this ppt we tell you about our project . In inventory management system we handled the management of my shop . It is best in your helping material . So download our ppt and take rest .
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Any PM or technical leader who’s led the charge of building a digital product knows that product engineering is one of the most expensive elements of business. In most cases, actually building software should be the last avenue that companies explore to deliver great products, as software engineering, data science and product development are complex, uncertain and hard to manage.
How to analyze text data with Named Entity RecognitionSkyl.ai
The internet is a rich source of data, mainly textual data. But making use of huge quantities of data is a complex and time-consuming task. NLP can help with this problem through the use of Named Entity Recognition systems. Named entities are terms that refer to names, organisations, locations, values etc. NER annotates texts – marking where and what type of named entities occurred in it. This step significantly simplifies further use of such data, allowing for easy categorisation of documents, analyze sentiments, improving automatically generated summaries, etc.
Further, in many industries, the vocabulary keeps changing and growing with new research, abbreviations, long and complex constructions and makes it difficult to get accurate results or use rule-based methods. Named Entity Recognition and Classification can help to effectively extract, tag, index, and manage this fast and ever-growing knowledge.
Through this webinar, we will understand how NER can be used to extract key entities from large volumes of text data.
What you will learn:
- How organizations are leveraging Named Entity Recognition across various industries
- Live demo - Identify & classify complex terms & with NERC (Named Entity Recognition & Categorization)
- Best practice to automate machine learning models in hours not months
Agile Data Science is a lean methodology that is adopted from Agile Software Development. At the core it centers around people, interactions, and building minimally viable products to ship fast and often to solicit customer feedback. In this presentation, I describe how this work was done in the past with examples. Get started today with our help by visiting http://www.alpinenow.com
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Powered by HP IDOL, HP Autonomy delivers intelligent applications that allow your organization to understand the concepts and context of all information in real time, mitigating risk and identifying opportunity. Join us at this session to learn how HP Autonomy can unlock the value of your company’s structured and unstructured data for better insight and greater competitive advantage. HP IDOL, the OS for human information, enables you to index, manage, and process all your data, both structured and unstructured. Learn how HP IDOL delivers unprecedented insights into optimized architecture, scalability, performance, mapped security, and connectivity. Find out more about IDOLOnDemand.com and how you can leverage this revolutionary technology in your own organization.
Project 3 – Hollywood and IT· Find 10 incidents of Hollywood p.docxstilliegeorgiana
Project 3 – Hollywood and IT
· Find 10 incidents of Hollywood portraying IT security incorrectly
· You can use movies or TV episodes
· Write 2-5 paragraphs for each incident. Use supporting citations for each part.
· What has Hollywood portrayed wrong? Describe the scene and what is being shown. Make sure to state whether it is partially wrong or totally fictitious.
· How would you protect/secure against what they show (answers might include install firewall, load Antivirus etc.)
· Use APA formatting for your sources on everything.
· Make sure to put your name on assignment.
Big Data and Social Media
Colgate Palmolive
Agenda Of socail media use
Buisness intellegence and Social media concenpts
Intellegent organization
Data Anaylysis and Data trustworthiness
Conclusion
Buisness intellegence and Social media concenpts
No-Hassle Documentation
Gain Trusted Followers
Spy on Competition
Learn Customer Demographics
Research and Analyze Events
Advertise More Accurately
Intellegent organization
They consistently use (big) data proactively
They know exactly where they want to go: all-round vision
They continuously discuss business matters: alignment
They talk to each other regarding positive and negative performance
They know their customers through and through
They think and work in an agile way
Data Anaylysis and Data trustworthiness
Data completeness and accuracy
Data credibility
Data consistency
Data processing and algorithms
Data Validity
Conclusion
How Colgate benefit from Big Data and Social Media
Social media increases sales and customers
Big data shows popular trends and popular companies
All around they are both beneficial
Big Data can find trends that can benefit you greatly
Criteria
Title Page:
Name, Contact info, title of Presentation
Slide 1
Adenda : Topic you going to cover in order
Slide 2
Discuss how big data, social media concepts and knowledge to successfully create business intellegence (Support your bullets points with data, analysis, charts)
Slide 3
Describe how big data can be used to build an intelligent organization
Slide 4
Discuss the importance of data source trustworthiness and data analysis
Slide 5
Conclusion
Slide 6
Big Data And Business Intelligence
Business Value With Big Data
For business to survive in a competitive environment, organizational change requires improved governance, sponsorship, processes, and controls, in addition to new skill sets and technology all work in harmony to deliver the benefits of big data. See Fig. 13.2
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Having developed itself as a saas head in office productivity and CRM tools, infox offers a number of data analytics platform gearing for both professional
data scientists and mid level staffers who need a self service option. The application has an instictive drag and drop interface and also a
classic spreadsheet interface. infox Analytics is geared for organization that need to give actionable data analytics insight to staffers at every stage.
Having developed itself as a saas head in office productivity and CRM tools, infox offers a number of data analytics platform gearing for both professional
data scientists and mid level staffers who need a self service option. The application has an instictive drag and drop interface and also a
classic spreadsheet interface. infox Analytics is geared for organization that need to give actionable data analytics insight to staffers at every stage.
Having developed itself as a saas head in office productivity and CRM tools, infox offers a number of data analytics platform gearing for both professional
data scientists and mid level staffers who need a self service option. The application has an instictive drag and drop interface and also a
classic spreadsheet interface. infox Analytics is geared for organization that need to give actionable data analytics insight to staffers at every stage.
http://www.infoxtechnologies.com/technologies.html
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The top ten free and open-source tools for video analytics.pdf
1. The top ten free and open-source tools for video
analytics
The top ten free and open-source tools for video analytics
Businesses can use open-source video and data analytics technologies as a less
expensive substitute for pricey proprietary software. This blog covers both video
analytics and data tools, discussing 10 of the top open-source solutions currently
available.
We'll start by defining open-source video and data analytics tools and outlining the advantages they
provide companies. The top 5 open-source video analytics solutions, including Glimpse, KiwiVision,
and IBM Video Streaming, will then be covered. Tasks like video processing, item detection, face
recognition, and behavioral analysis can be aided by these tools.
We'll then take a look at the top 5 open-source data analytics tools, including
Tableau, Apache Spark, and RapidMiner. These programs help with model training,
data ingestion, data cleaning, and visualization. They provide cutting-edge tools for
mining vast databases for insights.
Businesses that use open-source technologies can benefit from robust analytics
features that are more flexible, scalable, and customizable than pricey closed-source
alternatives. The best solutions mentioned in this blog offer a combination of
2. dependability, simplicity of use, and cutting-edge capabilities to meet a variety of
video and data analytics demands.
What are tools for open-source video analytics?
Tools for video analytics that are open source are free to use. The code is freely editable
and transferable. Tools can be changed and improved using publicly available code. To
locate important information, tools examine video footage. They track people, track items,
identify faces, and comprehend behavior. For security, retail, traffic, marketing, and
production, businesses use tools. Open tools are more affordable than closed ones. They
may adapt and get better more quickly as a group.
There are numerous credible video analytics businesses in India that provide cutting-
edge options for processing and gleaning knowledge from video data.
Also compatible with current corporate systems are open tools. However, open source
tools could not have testing, testing, or support. Less expensive options, flexibility, and
speedy development because of the community are the key advantages. The majority of
Business needs open-source video analytics tools
Needs can be met by open video analytics technologies with sufficient funding.
Closed tools might provide additional polish and business assistance.
The principal business requirements that the following open-source video
analytics solutions meet:
Smart city operations - They can use video analysis to better time traffic lights,
spot bottlenecks, and speed up emergency responses.
Security - Based on video data, tools can quickly identify risks and detect unsafe
activities. This enhances security operations, response times, and safety.
Tools in the retail industry can monitor customer behavior, gauge line lengths,
and identify out-of-stock goods. This offers information to enhance operations,
sales, and customer service.
Manufacturing - Equipment can track manufacturing lines to look for problems,
detect flaws, and gauge output. This enhances production throughput, quality,
and efficiency.
Supply chain - To streamline procedures, spot abnormalities, and enhance
inventory control, they can examine recordings from warehouses and
distribution centers.
3. Marketing - These tools can use video content's audience information to measure
engagement, improve ad campaigns, and
Top 5 free video analytics programs
Focusesing on real-time video analytics for security and surveillance, IBM Video
Streaming. includes people counting, facial recognition, object detection, and
behavior analysis.
Provides the ability to comprehend video content is KiwiVision. It is capable of
detecting things, people, and actions and may be integrated with other
technologies.
Mintrics is a platform that focuses on retail use cases. carries out people
counting, analysis of line length, product identification, and analysis of visitor
behavior.
Analytics of video data for manufacturing is a specialty of Glimpse. Measures the
dimensions of the product and keeps track of production line productivity.
Digifort: Designed for enterprise applications and security. provides attributes
like facial recognition, person monitoring, activity analysis, and anomaly
detection in data centers.
What are tools for open-source data analytics?
Free code is available in open-source data analytics tools. Anyone can modify the source
and provide tools to others. In huge data sets, tools can assist uncover relevant
information. Data is cleaned, models are tested, and information is shown in graphs and
charts. To make better decisions and perform better, businesses employ technologies to
glean fresh insights from data.
Open tools are more affordable than closed ones. They may adapt and get better more
quickly as a group. With current business systems, open tools also function. Less
expensive, flexible, and speedy progress are the key advantages, owing to the
community. Open data technologies can address the majority of needs if given enough
funding. The polish and enterprise support of closed tools may be greater.India uses the
term "software solutions" for video analytics.
Business needs open-source data analytics tools
The principal business requirements that the following open-source data analytics tools meet:
4. Insights - To make better decisions, streamline operations, and boost performance,
businesses require insights from their data. These occult relationships and patterns
are found using analytics techniques.
Efficiency - Based on data analysis, tools assist firms in identifying areas of
inefficiency, wasted resources, and excessive expenses. They show how to do
business more effectively.
Risk assessment: Through data monitoring and the flagging of anomalies, they
enable firms to proactively identify risks, uncover fraud, and maintain compliance.
Through the study of consumer data, they offer a deeper understanding of
customers, their preferences, and their likely activities. This enhances experiences,
products, and targeting.
Possessing the ability to predict future events, consumer behavior, and market
trends, these systems are constructed on predictive models that are based on
previous data. As a result, firms may plan ahead and take preventive action.
Data management tools assist companies in bringing together, cleaning, combining,
and transforming data from several sources into a single, usable format.
Innovation - Tools allow for data-driven experimentation, A/B testing, and quick
prototyping that lead to new product and service innovations based on data and
customer insights.
Top 5 free and open-source tools for data analysis
A framework for massive data processing is Apache Spark. Applied to machine
learning, stream processing in real time, and large-scale data engineering.
KNIME is an easy-to-use visual environment for reporting, machine learning, and
data integration. Perfect for academic and research use cases.
A complete platform for data preparation, machine learning, deep learning, and AI is
called RapidMiner. the usability of the system for both technical and non-technical
users.
Create interactive dashboards, graphs, and reports using Tableau Software, a
platform for data visualization. a great way to explore and share data ideas.
A document-based, all-purpose database is MongoDB. used as a platform for making
data analytics software and apps.
5. Conclusion
Open-source video and data analytics tools provide cost-effective and flexible solutions for
businesses to derive insights from visual and digital data. The tools highlighted in this blog
cover a wide range of capabilities from video processing and object detection to machine
learning, data visualization and management. For both video and data analytics use cases,
open-source tools offer key benefits like lower licensing costs, more customizability, faster
innovation and compatibility with existing systems.