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Digital Transformation and the Cloud: What Lies Beyond Cost and Productivity?

Cloud computing has revolutionized the field of information technology for companies and organizations across different fields and sectors. It has attracted companies globally to initiate their digital transformation and discover the power of connectivity and cloud computing. Companies adapt to cloud computing and enjoy the various benefits offered by the resource as it provides them mobility and access like never before with decentralized storage systems with high security. Work from home and easy collaboration between employees have been made possible with seamless sharing of documents and data using cloud computing. Here are a few insights on the future of digital transformation and cloud computing and what lies in it for us.

Cloud Computing and Digital Transformation

 

Cloud computing has been a ray of hope for small and large businesses alike as it helps them handle huge loads of information and data without having to invest on physical data storage. It allows organizations to cut down on the workforce required to manage and store data allowing them to effectively redistribute their human resources to other areas of improvement. 

 

Digital transformation has become a necessary requisite for companies and organizations to sustain their growth and performance in the global markets. AI and machine learning have helped simplify work processes and boost their potential to handle more clients and provide services. Cloud computing has been the starting point for most companies as they expanded their reach to the digital world. 

Future Beyond Cloud Computing and Digital Transformation

 

The field of Information Technology has been constantly growing and evolving with time to suit the changing requirements of companies. Cloud computing has been no exception with new features upgraded to the online storage platforms that have enhanced their overall functionality and ease of use. 

 

The incorporation of advancements in areas of Intelligent Process Automation, Data sciences and new age application development such as low-code and no-code platforms for application development have enhanced the functionality of cloud computing. Robotic Process Automation for cloud applications is a rapidly growing trend that has brought about the development of cloud native applications designed to capitalize on all the features of cloud computing. 

 

Repetitive tasks and assignments can be automated on cloud architecture utilizing the widespread access to data and documentation to handle them without expending human resources. RPA is easily implemented for cloud platforms and it is also feasible to integrate the legacy applications and cloud versions of the RPA.

 

IT companies often play a great role in guiding the digital transformation of companies and organizations, smoothening their learning curve and getting them accustomed to it. Futran Solutions, one of the leading providers of cloud-based solutions, has assisted in the digital transformation of a number of companies in various sectors such as banking, finance, healthcare, insurance etc. Advanced tools facilitating new age application development are incorporated in the software solutions offered by Futran Solutions empowering its clients to develop customized applications of their own. 

 

Benefits of Cloud computing & Its Advancements

 

Cloud computing and the advanced tools associated with them offer a wide range of features and benefits for the users. Here are a few insights about the advantages offered by cloud computing: 

 

  • Reduced Cost: The transformation from on-site storage of data and documentation to cloud based storage has drastically decreased expenditure for data storage and organization. Cloud computing facilitates hassle free storage and organization of data with universal access on internet connected devices.


  • Advanced Security: Cloud computing protects data stored in the platforms with highly secure gateways allowing clients to store and organize their data efficiently. Sensitive information of valuable clients can be confidently saved in the cloud platforms and multiple backups of data are stored in them preventing accidental loss of vital information due to any unforeseen circumstances.


  • Improved Productivity: Cloud computing with RPA significantly improves the productivity of companies and organizations by automating repetitive tasks allowing faster processing of data and better usage of human resources. It allows for companies to quickly adapt to the market changes and save time by improving communication and transparency between employees facilitating better collaboration. 

 

Conclusion

Cloud computing with its advancements has gained great traction amidst small scale and large-scale companies allowing them to boost their potential and performance. Assistance from IT companies like Futran Solutions can help organizations identify their key requirements and provide tailored solutions for them with the appropriate tools cutting down on costs and expenditure. Begin your digital transformation with cloud computing and explore the diverse tools present in cloud platforms that can help improve your work processes and facilitate wider reach for your enterprise. Adapt to cloud platforms and empower your organizations to better adapt to the market changes and solve any issues with your work processes as and when they arise.

 

 

Seven Hottest Analytics And Big Data Trends For 2019

The Big data is the vast volumes of data generated from a number of industry domains. Big data generally comprises data collection, data analysis and data implementation processes. Through the years, there’s been a change in the big data analytics trends – businesses have swapped the tedious departmental approach with data approach. This has seen greater use of agile technologies along with heightened demand for advanced analytics. Staying ahead of the competition now requires businesses to deploy advanced data-driven analytics.

When it first came into the picture, big data was essentially deployed by bigger companies that could afford the technology when it was expensive. At present, the scope of big data has changed to the extent that enterprises both small and large rely on big data for intelligent analytics and business insights. This has resulted in the evolution of big data sciences at a really fast pace. The most pertinent example of this growth is the cloud which has let even small businesses take advantage of the latest technology.

The modern business is floating on a stream of never-ending information. However, most businesses face the challenge of extracting actionable insights from vast pools of unstructured data. Despite these roadblocks, businesses are deriving from the tremendous opportunities for growth presented by big data. Here is all that would count as the hottest big data analytics trends of 2019.

Booming IoT Networks

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Like it’s been through 2018, Internet of Things (IoT) will continue to trend through 2019, with annual revenues reaching way beyond $300 billion by 2020. The latest research reports indicate that the IoT market will grow at a 28.5% CAGR. Organizations will depend on more structured data points to gather information and gain sharper business insights.

Quantum Computing

 

Industry insiders believe that the future of tech belongs to the company that builds the first quantum computer. No surprise that every tech giant including Microsoft, Intel, Google and IBM are racing for the top spot in quantum computing. So, what’s the big draw with quantum computing? It allows seamless encryption of data, weather prediction, solutions to long-standing medical problems and then some more. Quantum computing allows real conversations between customers and organizations. There’s also the promise of revamped financial modeling that helps organizations develop quantum computing components along with applications and algorithms.

Analytics based on Superior Predictive Capacity

 

More and more organizations are using predictive analysis to offer better and more customized insights. This, in turn, generates new responses from customers and promotes cross-selling opportunities. Predictive analysis helps technology seamlessly integrate into variegated domains like healthcare, finance, aerospace, hospitality, retailing, manufacturing and pharmaceuticals.

Edge Computing

 

The concept of edge computing among other big data trends did not just evolve yesterday. Network performance streaming makes use of edge computing pretty regularly even today. To save data on the local server close to the data source, we depend on the network bandwidth. That’s made possible with edge computing. Edge computing stores data nearer to the end users and farther from the silo setup with the processing happening either in the device or in the data center. Naturally, the entire procedure will see an organic growth in 2019.

Unstructured or Dark Data

 

Dark data refers to any data that is essentially not a part of business analysis. These packets of data come from a multitude of digital network operations which are not used to gather insights or make decisions. Since data and analytics are increasingly becoming larger parts of the daily aspects of our organizations, there’s something that we all must understand. Losing an opportunity to study unexplored data is a big-time potential security risk.

More Chief Data Officers

 

The latest trendy job role on the market is that of a Chief Data Officer. Top-tier human resource professionals are looking for competent industry professionals to fill this spot. While the demand is quite high, the concept and value of a CDO are largely still undefined. Ideally, organizations are preferring professional with knowledge in data analysis, data cleaning, intelligent insights and visualization.

Another Big Year for Open Sourcing

 

Individual micro-niche developers will invariably step up their game in 2019. That means we will see more and more software tools and free data become available on the cloud. This will hugely benefit small organizations and startups in 2019. More languages and platforms like the GNU project, R, will hog the tech limelight in the year to come. The open source wave will definitely help small organizations cut down on expensive custom development.