Why AI-ML

Why AI-ML In the volatile world today, AI offers unparalleled opportunities for any business industries. Due to technology maturity today, leveraging AI into your enterprise isn’t difficult, because the adaption process is quite fast, and the usage of AI is extremely convenient. However, the custom development may be expensive. Before making a decision, entrepreneurs need to conduct a complex feasibility analysis to evaluate what value the enterprise will gain from the use of AI capabilities.

There is no limit to AI adoptability including Automated accounting and customized marketing information, efficient inventory and supply chain management, as well as improved maintenance schedules are just a few benefits of artificial intelligence used in business.

Three factors make AI smart

1. Enhanced CPU computing architecture

   To perform AI computing capabilities the traditional microprocessor and CPU not sufficient to train Machine Learning process. So to facilitate such powerful capabilities CPUs have to be enhanced with new chips and computing powers

2. Enhanced deep neural network computing

   The next crucial element in AI progress in learning is artificial neural networks.

   Artificial Neural Networks (ANN) are substituting conventional Machine Learning versions to evolve accurate and precise versions. Convolutional Neural Networks (CNN) provides the ability of deep learning to monitor vision. A number of the current improvements in computer vision like solitary Shot Multibox Detector (SSD) and Generative Adversarial Networks (GAN) are determining image processing) By way of instance, engaging a few of those techniques, videos, and images which are taken in low light and very low resolution could be improved into HD quality. The ongoing research in computer vision is now the foundation for picture processing in health care, protection, transport and other domain names.

   More methods like Capsule Neural Networks (CapsNet) will basically alter the manner Machine Learning algorithms are deployed and trained. They will have the ability to create models that forecast with exactness even if trained using restricted data.

3. Accessibility to large historical data sets

   Due to cloud capabilities storing and processing zeta bytes of data become economical hence government agencies, healthcare institutions, and institutions are creating unstructured data accessible to the research area. From clinical imaging into historic rain trend, researchers finally have access to wealthy datasets. This variable alone significantly affects AI research.

   Data scientists want access to large historical datasets to educate ML models which may predict with greater accuracy. The effectiveness of an ML version is directly determined by the quality and dimensions of the available dataset.

Cloud technology – Do the way more

Cloud platform creating the way to store and process zeta bytes of structured and unstructured data, this revolutionizing the way products are conceptualized, strategized, and developed. The future of work is integrating Cloud capabilities with AI-ML, IoT, Blockchain technologies.

Cloud technology is not just an infrastructure mandate, but also a strategic business significance. Industries are progressing at a rapid pace towards Cloud adoption.

Gartner statistics estimated that, a third of organizations see Cloud as one of the top 3 investing priorities and global Cloud computing market is expected to grow to $623.3 billion by 2023.The popularity of Cloud is sufficiently demonstrated by the fact that more than 30% of software investments will shift from Cloud-first to Cloud-only by the end of the year.

However, the need for scalable and secure access to applications, spikes in network loads, requirements for device role based access, and a move towards pay-as-you-go pricing have all created a demand for Cloud computing technology. Cloud computing technology offers a flexible operating model that overcomes the challenges of improving agility & scalability while addressing governance and monetary challenges. The operating flexibility and adoptability of Cloud technologies can make the future bright

Why Bigdata storage, processing And Analytics

With recent technology advancement the need of data created data revolution. According to EMC, scholars estimated that in 2020, every individual on earth will generate approx. 1.7 MB of data per second, however only 0.5% of accessible data is analysed and used today, as per MIT Technology Review. This gap is a boon for big data technology, services, and advanced data analytics.

As per Forbes, the Big Data market revenues for software and services are expected to reach $103 billion in 2027.

Intellicops as a professionally excellent in bigdata technologies proud to capitalize on the wonderful potential that Big Data tools and technology can offer. Our Big Data professional services build a tailored roadmap so you can reap the benefits of our Big Data and analytics solutions. We help manage and secure your data to derive data insights and future analytics.

Data strategy can leverage enterprise technology capabilities, so resetting the right data storage and processing strategy can make enterprise successful.

Power BI – Analytical power to business users

"Become the leading organization in providing producThe industries today are mostly finding it difficult to access insights from their data. Gaps exist between inferring a trend or identifying a correlation and using those data-driven insights to provide business value. Access to quick information to make balanced decisions is one of the most important differentiators across any industry. However, we must understand that real power does not lie in the data and information itself, the key lies in changing those Terabytes to Petabytes of data into some valuable key performance indicators and services. One such tool, Microsoft Power BI can make a difference.

Power BI is not a new name in the BI space. Components of Power BI have been in the market through different time-periods. The Microsoft team has worked a long time to build a big umbrella called Power BI. Power BI facilitates to connect many data sources, e.g. wide range of data sources can be supported, and more data sources can be added to the list every month.

what exactly is Power BI?

Power BI is a cloud-based analytics tool used for reporting and data analysis encompassing a wide range of data sources. It is easy to use and user friendly for business analysts and power users can work with it and get perks out of it. Additionally, Power BI is robust and mature enough to be used in enterprise systems by BI developers for complex data mash-up and modelling scenarios.

Cloud and Cyber security

The prime agenda of cyber security and cloud security is to protecting our

privacy, rights, freedoms, and our physical safety. Since the critical data infrastructure is coming online with cloud technologies, its been vulnerable to digital attacks, data breaches and leak of personal information are becoming more frequent threats, and there’s an increasing awareness of political interference and state-sanctioned cyberattacks. The importance of cybersecurity is undoubtedly a growing matter of public concern.

So below are the few cyber threats and defence items

1. Artificial Intelligence

   It can offer more computing and processing capabilities for business industries at the same time vulnerable to industry data security

2. Geo government policies

   Government policies are differing for nation to nation and it would create complexities and violates internet data security policies

3. Gap of Cyber security skilled professionals

   The industry witnessed huge gap in terms of skilled professionals on cloud and cyber security technologies

4. Hacking personal data

   The recent cyber attacks shows that the personal data has been stolen and misused.

   So to combat the cloud and cyber security threats organizations should develop a robust model to offer defensive capabilities for any kind of vulnerabilities.

IoT - Smart device interface - Industry 4.0

The world coined the fourth industrial revolution which facilitates Machine to machine interaction, specifically IoT technology, is transforming human lives.

As per IDC estimation there will be approximately 212 billion connected devices by 2020. IoT platforms, technology, and applications are expected to generate $14.4 billion over the next decade. IoT is a platform that can help individuals, industries and businesses transform their livelihood with devices that can represent themselves digital presence and aware.

However, IoT framework can enhance industry throughputs by running sophisticated analytics algorithms on data captured from the real world. Businesses have the potential to use these insights to increase productivity, enhance the customer experience, and enable the growth of advanced products and services.

Why Blockchain Technology

The FX trading strategies would be hassle free with new technology called Blockchain and essence of continuous trade hedging would be in better shape.

A platform blockchain originally block chain is a growing list of records, called blocks, that are linked using cryptography. Each block contains a cryptographic hash of the previous block, a timestamp, and transaction data (generally represented as a Merkle tree). Read More

By design, a blockchain is resilient to modification of the data. It is "an open, distributed ledger that can record transactions between two parties efficiently and in a verifiable and permanent way". For use as a distributed ledger, a blockchain is typically managed by a peer-to-peer interrelated network collectively adhering to a protocol for inter-node communication and validating new blocks. Once recorded, the data in any given block cannot be altered retrospectively without alteration of all subsequent blocks, which requires agreement of the network authority. Although blockchain records are immutable, blockchains may be considered secure by design and demonstrate a distributed computing system with high fault tolerance. Distributed consensus has therefore been claimed with a blockchain.

Blockchain was invented by a person (or group of people) using the name Satoshi Nakamoto in 2008 to serve as the public transaction ledger of the cryptocurrency bitcoin. The invention of the blockchain for bitcoin made it the first digital currency to solve the double-spending problem without the need of a trusted authority or central server. The bitcoin design has inspired other applications and blockchains that are readable by the public are widely used by cryptocurrencies. Blockchain is considered a type of payment process. Private blockchains have been proposed for business use.

Business enhances with smart Mobility Services?

The necessity of Mobile devices and Mobile apps grownup drastically in recent years due to its accessibility and portability.

The business ecosystem considers managing majority of its operations through mobile devices such as accessing official emails, statistical analysis reports of their business and operational status on regular interval. Mobile Apps can enable enterprises to drive growth, minimize downtime, and improve operational efficiency.

So mobile apps not only empower brand building, but also improves user engagement, increases awareness, enhances revenue growth, and so on. The development of mobile applications not only benefits the business owners, but also the customers.

A survey showed that 62% of leaders think that a mobile strategy is beneficial to business. Similarly, the survey found that 61% of business leaders cited less effective company operations to be a consequence of not implementing mobility solutions, while 47% respondents cited losing sales as a direct result of neglecting enterprise mobile application development.

Intellicops Software Product Engineering Service facilitates high quality Mobile apps products and engineering transformations across industries. We engage closely, innovating, designing, developing, and testing to create a defect free apps that solves industry problems

Why DevOps - Automated tools?

DevOps is gaining great importance due to its ability to foster continuous enhancements, reduce project failure rates, and promote a performance-oriented environment. Statista estimated that 30% of software development companies are implementing DevOps solutions and reaping the benefits of a streamlined release management cycle, faster time to market, and cost-effective scaling. So, to manage market volatility, businesses are increasingly adopting a robust setup that achieves successful Agile delivery with minimal risks.

With the growing needs of customer expectations, the amount of data continues to grow and the rising complexity of IT systems makes it difficult for enterprises to run and maintain these systems. It is therefore recommended to have streamlined operational IT services to be able to make the business systems up and running.

Intellicops’s DevOps Services come with flexibility and remote support, enabling enterprises to optimize and manage a traditional IT environment to rapidly adopt new technologies. Our team of consultants and experts enable business process to enhance turnaround time and streamline operations. Our reliable solutions and proven technology help enterprises improve ROI, and add value to customers. We ensure that your organization meets the SLAs of the business environment and mitigates threats with effective change management.