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Showing posts from August, 2020

Benefits of Micro services

 Benefits of Micro services   Micro services architecture The micro service architecture style is an approach to developing one application as suite of small service. Each runs in its own process and communicates with light weight mechanisms, often on HTTP resource API. Micro service do have distinct advantage: Better Organization Micro service architecture are typically better organized Each micro service features a really specific job, and it isn't concerned with the roles of other components. Decoupled Decoupled services are also easier to vary , update and re-configure to serve the requirements of varied type apps They also leave fast, independent delivery of individual parts within a much bigger , integrated system. Performance Under the right circumstances, micro services can also have performance advantage relying on how they're organized. It's possible to isolate hot services and scale them independently of the rest of the app. Micro services-o

Agile Development

  Agile Development Description The agile software development   may be a  practices approach for developing applications. Agile methodology is described as an "iterative" and "incremental" approach. The term agile management is applied to an iterative, incremental method of managing  the planning  and build activities of engineering, information technology and other business areas that aim  to supply  new product or service development  during a  highly flexible and interactive manner,  supported  the principles expressed  within the  Manifesto for Agile Software Development Agile developers visualize the software as  a mixture  of complex parts that interacts with  one another  instead of  an out sized  block of structure. Actually in waterfall method, development team will get only single chance  to urge  each phase(like design,development, testing etc) of a project. Whereas in an agile methodology, these phases are continually revisited periodically  to know  t

Types of cloud

 Types of cloud?   What is cloud? In a single line cloud  are often  described as a "communication network". The word "cloud" often refers to  the web  , and more precisely to some data center  filled with  services  that's  connected to to  the web  . A cloud  are often  a good  area network(WAN)   just like the  public internet or  a personal  , national or global network. The term  also can  ask  an area  area network(LAN) with  a corporation  . Types of cloud Private cloud Deploying cloud computing internally Private cloud employs cloud computing within a company's own local area networks. Public cloud A cloud computing service on  the web  that's  available to  the overall  public. Commercial cloud providers like Amazon, Google cloud, and Azure etc. Hybrid cloud The use of both private and public clouds  to supply  an organization's computing needs. What is cloud native? Cloud Native Computing Foundation (CNCF) which is and open source softwar

Develop an AI strategy

 Develop an AI strategy Some common ways to use AI For developing an AI strategy always remember some common ways to use Developing more intelligent products Developing more intelligent services Making business processes smarter Automating repetitive business tasks Automating manufacturing processes   Start up the AI strategy Leverage AI to make a plus specific to your company Design strategy that align with virtuous cycle of AI Blue River – precision agriculture  AI must be specialized or verticalized to your industry sector Don’t compete with giants Creating a strategy Strategic data acquisition Unified data warehouse – Pull data into single repository, software can Create network effect and platform advantages Uber, Careem, Facebook Low cost strategy Low cost strategy High value strategy  Develop internal and external communications Investor relations   Government relations   Consumer / user education   Talent / recruitment   Internal communication  AI teams AI teams may have

What is Data Science?

 What is Data Science?   We may define data science as " Science of extracting knowledge and insights from data". It is a field that uses the processes, algorithms and systems to extract data. It is also related to big data and machine learning. There is a huge impact of big data in industries in the modern era and it has changed the shape of industries. Different technologies and techniques are being used for data science for application. Machine learning, clustering, Support vector machine (SVM),logistic regression and linear regression are most common techniques of data science. Computer programming languages which are popular for data science are Python, R and Julia. Similarly, some frame works which are supporting the data science projects including the tensor flow developed by Google,Pytorch, Jupyter note book and Apache Hadoop. Data science software platforms are available which are providing good facilities to handle the data science projects. Matlab, Anaconda, Data

What is Artificial Intelligence ?

What is Artificial Intelligence ?      What is AI? The actual meaning behind common AI terminology, including neural networks, machine learning, deep learning and data science. Mckinsey Global Institute,(An American world-wide service industry firm founded in 1926) revealed that AI value creation by 2030 would be $ 13 trillion. Automobiles When we consider AI applications within the automotive industry,we might first consider self-driving cars.But AI can do quite drive. It can keep us connected,on schedule, and safe even once we are driving ourselves. That all adds up to business .The value of AI in automotive manufacturing and cloud services will exceed $10.73 billion by 2024. Driver Monitoring AI enables cars to try to to quite watch the road,it can help them keep any eye on the driving force ,as well. Israeli automotive computer vision startup eyeSight uses AI and deep learning to supply an absolute plethora of in-car automotive solutions. Using advanced Tim