Goto

Collaborating Authors

 Information Fusion


StreamSets: Where DevOps Meets Data Integration

#artificialintelligence

In today's world, there isn't a single IT organization that can control and engineer all aspects of the data that their enterprise needs. Data is now the connective tissue upon which complex enterprise logic is being built, spanning numerous applications. DataOps enables faster delivery of existing and new data services and products in the face of changing environments, requirements, infrastructures and semantics while preventing data threats. DataOps enables applications to be good citizens of the ecosystem by respecting the implied contracts between them despite unexpected data drift that emerges from changing technologies. Download the exclusive white paper and see how companies plan for organizational, process, and technology shifts to deliver on the promise of DataOps.


Pune IoT plan: City data exchange and use case development key to success - Express Computer

#artificialintelligence

Pune has deployed over 1000 IoT devices (including 1500 CCTV cameras, which are quasi IoT devices), connected with the integrated command and control centre (ICCC). The data feeds are regularly relayed from the sensors. Going ahead the many use cases will need to be explored. Pune is working with IISc and IIT Kanpur for use case development, for example, the availability of parking spaces in the city can be easily identified from sensor data; traffic movements in the city can be tracked and appropriate actions relating to reducing congestion can also be taken based on data relayed from the sensors. Pune is the only city in the country to have participated in a global hackathon, wherein the API based technology architecture allows to expose the data in a secure manner globally to create applications over it.


Rohit Pawar on LinkedIn: "Attractive Growth Opportunities in the Content Intelligence Market #ContentIntelligence #Content #Intelligence #Cloud #education #bigdata #NLP #ML #AI #IoT #contentmarketing "

#artificialintelligence

Content Intelligence Market to grow $1956 Million by 2024 Download PDF Brochure: http://bit.ly/2LmjU66 Demand for more personalized content, increasing use of the technologies such as #ML, #AI, #IoT to accelerate content production, and need for the #contentmarketing performance support would provide opportunities for vendors in the Content_Intelligence_Market. Major vendors in the global #contentintelligencemarket include Adobe (US), M-Files Corporation (Finland), OpenText (Canada), Curata (US), Scoop.it


The $0 data integration project

#artificialintelligence

I'm sure you will be shocked (shocked!) to learn that this integration was not as simple as the Sales person thought. In fact, this work internally cost us over $40K to develop. And no, the sales person did not help with the coding. This story came to mind as I've gotten to know Attunity, Qlik's most recent acquisition. It's enabled Qlik to introduce our Data Integration Platform, a combination of Attunity products and Qlik Data Catalyst.


How Robotic Process Automation Is Leading To Supply Chain Automation

#artificialintelligence

A research report by Deloitte says about 64% companies have embarked on the journey to implement Robotic Process Automation (RPA) in order to automate support tasks. The same report outlined a critical fact that not jobs, but tasks are being automated, allowing employees to focus on high-value activities, freeing them of monotonous pieces of work across a myriad of industries. Over the decades, enterprises have invested time, money and multiple other resources in building their supply chain infrastructures and processes. Even though the majority of stakeholders ranging from manufacturers, retailers to logistics providers have adopted some type of supply chain management system, the key challenge of end to end data integration along with process automation remains. Users still, to this day, continue to copy/paste data manually between disparate systems in order to maintain communication and data exchange on a day to day basis.


Managing Oracle Fusion Applications - Programmer Books

#artificialintelligence

Administer a fully integrated application management framework across your enterprise using the detailed information contained in this Oracle Press guide. Managing Oracle Fusion Applications first explains key principles and then logically groups utilities into practical, ready-to-use toolboxes. Learn how to build lifecycle models, deliver dynamic business intelligence, optimize performance, mitigate risk, and integrate the latest Web 2.0 and social networking features. Compliance, security, and testing techniques are also covered in this comprehensive resource.


Annalect's LinkedIn Data Integration Provides Insights Into Content For Business Audiences

#artificialintelligence

LinkedIn has begun to offer brand marketers more data to build content. Annalect, the global analytics arm of Omnicom, recently launched a new product, Professional Audiences, leveraging that data to give marketers a better understanding of the content consumed by business audiences using LinkedIn data related to industry, company size, location and title. The details to construct a very detailed audience segment for the B2B space were missing, acknowledges Anna Nicanorova, VP of engineering at Annalect. "LinkedIn provides the professional perspective on audiences," she said, explaining how the technology works. "The hope is to feed the bag of [keyword] tags based on B2B audiences back into Omni and target consumer audiences," Nicanorova said, calling it the company's "bag of words strategy."


How Automated Billing Can Increase Revenue Law Firm Billing in 2019

#artificialintelligence

Billing clients is a time-consuming task that unfortunately adds to an attorney's already busy workload. Unlike many other tasks, billing is not a task an attorney can bill for. All the time spent dealing with time entry and invoicing could be going toward billable activities, or to the attorney's free time. The Un-Billable Hour, a law practice and advisory podcast, confirms that inefficiencies related to un-billable tasks cost law firms money. The podcasts specifically addresses "disorganization, slow response to clients, late billing invoices and not tracking time" as the principal causes of decreased efficiency and lower revenue. Although there are many applications that at least claim to streamline the time-entry part of the billing process, these same applications typically neglect the bill review portion of bill submission.


Details Behind Omnicom Annalect's LinkedIn Data Integration

#artificialintelligence

LinkedIn has begun to offer brand marketers more data to build content. Annalect, the global analytics arm of Omnicom Group, recently launched Professional Audiences based on that data. It gives marketers a better understanding of the content consumed by business audiences using LinkedIn data related to industry, company size, location, and title. Professional Audiences, a tool for media trends and insights within the Omni platform, is integrated across the Omnicom network and uses the LinkedIn Audience Engagement API to build B2B audiences in the same way it uses other to data to build B2C audiences. It uses LinkedIn's Audience API to reach the 645 million members.


Fusing heterogeneous data sets

arXiv.org Machine Learning

In systems biology, it is common to measure biochemical entities at different levels of the same biological system. One of the central problems for the data fusion of such data sets is the heterogeneity of the data. This thesis discusses two types of heterogeneity. The first one is the type of data, such as metabolomics, proteomics and RNAseq data in genomics. These different omics data reflect the properties of the studied biological system from different perspectives. The second one is the type of scale, which indicates the measurements obtained at different scales, such as binary, ordinal, interval and ratio-scaled variables. In this thesis, we developed several statistical methods capable to fuse data sets of these two types of heterogeneity. The advantages of the proposed methods in comparison with other approaches are assessed using comprehensive simulations as well as the analysis of real biological data sets.