Success of any business decision depends on the quality and quantity of information. Some firms have access to more information than others; particularly good examples could be banks.
The banking industry is subject to a wide array of stringent regulations that govern their daily operations. Remaining compliant with this environment requires banking institutions to memorize nearly all aspects of their actions, including conversations, transactions, and customer transcripts.
In short, banks produce reams of raw data daily, most of which are to be scarcely analyzed or reviewed. Data analytics is a powerful solution that enables banks to take advantage of the raw data by transforming it into highly useful analytical forecasts.
Like diamond amidst coal, raw data includes valuable information that is left undiscovered as its extraction is often burdensome and expensive. This has created an opportunity for entrants to help banks make complete sense of data and comply with the increasing regulations in a cost-efficient manner. Here is a glance on the three of the hottest banking analytics solution startups catching the attention of leading players in the industry.
• Hexanika
Hexanika is a forerunning data management and reporting solution provider for financial institutions. It uses artificial intelligence, big data, and robotics to automate the process of data management. Its solutions aid financial firms to tackle the rapid challenge posed by regulatory pressures and increasing global competition while reducing cost and time of the processes. Founded in the U.S., its innovative solutions improve data quality and keep regulatory reporting in harmony.
Hexanika’s unique big data deployment approach simplifies, optimizes, and reduces the cost of banking analytics. To streamline data, it offers end to end data management, analytics, and reporting platform making banking analytics effective. The company is providing its solutions to financial institutions and helping them keep pace with changing regulatory requirements by leveraging artificial intelligence.
• Flybits
Banks are looking for ways to maximize their use of data and better engage customers. The contextual data intelligence company, Flybits leverages the Read More
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The algorithms used by major tech giants have developed gradually because of their investment in money, time and energy. As a result, search engine optimization (SEO) trends and leads to marketing tactics are constantly changing the present technological world.
The SEO marketing strategies, which are already in place for e-commerce businesses, need to adopt the changes to remain relevant and dominate in their respective markets.
In a voice-search-dominated world, most of the searches are in the form of questions. So it is very important to structure the content in the website according to the questions. The content should be able to answer a potential customer’s questions.
The optimisation of the questions is necessary. By using smart SEO tactics, this voice search technology can be accessed 24/7. Amazon's Alexa, Siri, and Cortana are some of the voice search technologies which allow voice interactions via phone, when in a car, and at home.
Full article here: SEO for e-commerce
Technology helps the governments understand cities better, achieve outcomes, provide services more efficiently by assisting the citizen in embracing the future.
Here is an interesting article depicting Mind reading facts and its future implications
It’s the last week of the month, the time that every employee awaits his/her paycheque. Unfortunately, some of the employees also dread that there might be a calculation mistake, which means that the employer has to go through a chain of daunting procedures to get it right. In a small scale business, employees can only hope that it doesn’t happen since error rate is scarily high during the manual processing of payroll. Read More
Decades of unplanned urbanization has induced rampant pollution, sanitation hazards, inadequate housing, slums, and transport perils, Along with that, extreme weather patterns have become a global concern. It is about time data-driven adaptive urbanism—smart cities—gains momentum, building cities as models of a global change.
This model will pave the way for connected spatial data flow, enabling every resident in the city to comprehend the goals the community needs to accomplish. The residents can utilize applications to keep themselves informed about recreation, business, property, transportation, taxation, and more.
These smart cities function round-the-clock in a cloud environment and are entirely based on knowledge and innovation for best and sustainable civilian services. The definitions for smart cities vary depending on geographies, deployment, and scaling. However, in a data-driven environment Read More
Interesting Read: At the Pinnacle of Smart City Aspirations
Patrick Debois coined the term DevOps, which is described as an integrated approach of software development teams as well as IT operation teams working collaboratively in achieving the specific task. With evolvement in technologies, it has become the key focus in reforming the future of the software industry, and its recognition is going to peak in 2018.
In practice, to achieve DevOps effectively, the developed software should meet certain architecturally requirement standards such as modifiability, monitorability, feasibility, and deployability in an acceptable limit and effective manner.
Furthermore, in DevOps model management workflows, the automated pipelines developed helps to retrain, reselect, and redeploy the production models more stable and efficiently along with deploying AI based ML-driven approaches to achieve the demands of an enterprise. This process will provide a more clear infrastructural model accelerating as Infrastructure as Service and Database as a service through DevOps.
Complete article Here: Expanding DevOps Strategy for Smarter Business Applications
The combination of the Internet of Things (IoT) and Augmented Reality (AR) is not only allowing enterprises to gather data and generate insights from it, instead, it is also delivering those insights to the right people at the right time to create maximum impact.
If IoT is the year’s blockbuster, then Augmented Reality is gradually becoming an innovation that lets workers easily gain access to what’s happening with their smart connected products. IoT generates the data required and AR assists in using that data optimally.
Internet of Things (IoT) and Augmented Reality (AR)
IoT uses its network of smart objects, sensors, and processors, and makes the entire process autonomously responsive by continuously gathering data, analyzing it and triggering the relevant and appropriate responses from the concerned entities.
For Instance, IoT-based inventory management system uses sensors and scanners to monitor the consumption and storage of materials present in a manufacturing facility. Moreover, whenever the inventory reaches depletion, the IoT-powered systems either place an order for replenishment or it notifies the concerned authorities.
Augmented Reality is integrated to provide workers the ability to access vital information. For example, the use of AR smart glasses in the logistics department is helping to sort the units and also helps to identify packages efficiently without struggling to read the printed tags or use hand-held scanners.
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