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Machine Learning Tips From Amazon Web Services: What Are The Key Takeaways?

Machine Learning Tips From Amazon Web Services: What Are The Key Takeaways?

Machine learning is a subset of Artificial Intelligence, or, AI which draws from its past experiences to predict future action and act on it.  The growing demand for Machine Learning course in Gurgaon, is a clear pointer to the growth the field is experiencing.

If you have been on Youtube frequently then you would certainly have noticed, how it recognizes the choices you made during your last visit and it suggests results based on those past interactions.

The world of machine learning is way past its nascent stage and has found several avenues where its application has become manifold over the years. From predictive analysis to pattern recognition systems, Machine learning is being put to use for finding an array of solutions.

AWS has been a pioneer in the field as it embraced the technology almost 20 years back, recognizing its potential growth across all business verticals.

 At a recently held online tech conference, vice president of Amazon AI shared his concerns and ideas regarding the journey of ML while pointing out the hurdles still in the way and which need to be addressed.  Here are the key takeaways from the discussion

Growing need for Machine learning

Amazon was quick to realize a crucial fact in the very beginning that consumer experience is a crucial aspect of business which needs to get better with the application of ML.

Despite the impressive trajectory of machine learning and its growing application across different fields there are still issues which pose serious challenge. There are certain issues which if tackled properly would pave the way for a smarter future for all.

Get your data together

Businesses intent on building a machine learning strategy need to understand that they are missing a vital component of the model which is the data itself.  Setting out business objectives is not enough; machine learning model is basically built upon data. You need to feed the model data, accumulated over a period of time which it could analyze and to predict future action. 

Clarity regarding machine learning application

It is understood that you need to apply machine learning in order to find solutions, to do that you need to identify that particular area of your business where you need the solution. Once you have done that, you need clarity regarding data backup, applicability and impact on business. Swami Sivasubramaniam, vice president of Amazon AI at Amazon Web Services referred to these aspects as “three dimensions”.

Another point he stressed was regarding a collaboration between domain experts and machine learning teams.

Dearth of skill

Although there has been a quantum growth in the application of machine learning, there is a significant lack of trained personnel for handling machine learning models. Undergoing a Machine Learning course in Gurgaon, could bridge the skill gap.

Since, this sector is poised to grow, people willing to make a career should consider undergoing training.

In fact, organizations looking to implement machine learning model, should send their employees for corporate training programs offered at a premier MIS Training Institute in Delhi NCR.

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Avoid undifferentiated heavy lifting

Most companies tend to shift their focus from the job at hand and  according to Sivasubramaniam, starts dealing with issues like “server hosting, bandwidth management, contract negotiation…”, when they should only be concerned with making the model work for their business model and should look for cloud-based solutions for handling the rest of the issues.

Addressing these issues would only pave the way towards a brighter future where Machine learning would become an integral part of every business model.

Source: https://searchenterpriseai.techtarget.com/feature/How-to-build-a-machine-learning-model-in-7-steps

 


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Know More, Practice Hard: Best MIS Interview Questions for You

Know More, Practice Hard: Best MIS Interview Questions for You

Management Information Systems (MIS) is a game-changer. Today’s businesses fail to survive long without leveraging some kind of MIS structure – MIS manages humongous amounts of data and processes them to fuel decision-making capabilities.

In a nutshell, MIS is a systematic collection of hardware, people, procedures and software that all work together in sync to process, store and generate information that is useful to the enterprise.

Now, are you gearing up to crack an MIS Executive interview? If the answer is in affirmative then you are at the right place. In this blog, we will talk about some common aspects of MIS and its components – this will help you hone your skills and nurture your talent to become an ace research analyst, data analyst or business analyst.

Highlight the objective of an MIS (Management Information Systems).

The main purpose of an MIS is to help the management to come up with superior, strategic and tactical decisions boosting and securing future company growth.

Mention the various types of MIS.

  • Databank Information System
  • Decision Information System
  • Predictive Information System
  • Transaction Processing System

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What makes MIS so popular?

Take a look below to know what purposes do MIS fulfill, which in turn makes it an indispensable business tool:

  • Management Information Systems is the wonder tool that feeds in relevant information into the minds of decision-makers. This eventually helps them chalk out effective decisions.
  • MIS enables communication within the enterprise as well as outside – employees working within an organization find it extremely easy to lay their hands information for day-to-day operations, but facilities, like emails and SMS, facilitate quick exchange with the customers and suppliers from MIS that the in-question organization has been using.
  • Management Information Systems is an ideal record-keeping tool, keeping in check all business transactions of an enterprise and offering a reference point for transactions.

What are the components of MIS?

The major components of MIS are tabulated below:

  • People are the ones who leverage the information system
  • Data is the essence of MIS
  • Business procedures are the very ways in which you record, store and analyze data
  • Hardware includes workstations, printers, servers, networking equipment and more
  • Software are predetermined programs that handle data – such as database software and spreadsheet programs

Mention the levels of information requirement in an MIS.

  • Organization level
  • Application level
  • Technical level
  • Database level

What are the advantages of MIS?

  • Better data accuracy – say thanks to easy verification checks and data validation!
  • Faster data processing – MIS boosts information retrieval system and ensures fast data processing, leading to an improved and enhanced client-customer relationship.
  • Improved data security – along with restricting user access to the database server, the computerized information system facilitates other security measures, including access right controls, user’s authentication, biometric authentication systems and more.

As a matter of fact, DexLab Analytics is a budding MIS training institute in Gurgaon – it helps professionals and newbies to maintain and revamp the existing MIS within an organization. If interested, you can also hone your advanced Excel skills with Excel training courses in Delhi offered by the same.

The blog has been sourced from – learning.naukri.com/articles/top-mis-executive-interview-questions-answers

 

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Importance of MIS in Business

Importance of MIS in Business

Today’s corporate world is dynamic. Ever-evolving technologies and daily upgrades drive business organizations to fulfill goals and objectives. They also involve substantial risks and uncertainties. These challenges urge businesses to take crucial decisions that end up determining their future success. Since the primary objective of any organization is to improve their profit ratio and flourish in the long run.

This is why businesses can’t ignore the significance of MIS – Management Information System

Define MIS

MIS is a comprehensive set of processes that offers critical data and information to the management so as to enhance informed decision-making. It involves:

  • Gathering apt data from numerous reliable sources
  • Processing of those data to derive meaningful, relevant information
  • Furnishing this essential information to the respective department

What Makes MIS Reports so Important to Boost Business Decision-making?

MIS Reports are prepared after careful analysis of existing data and observing on-going trends prevalent in the industry. They play a key role in improving productivity, performance and profitability of any enterprise. No wonder, it’s extremely important for the administration to lay hands on reliable data in sync with the latest trends to make quick, informed decisions.

As a result, MIS Reporting System is regarded as the bedrock of company operations, and it aids the company to stand out against its tailing rivals.

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Advantages of MIS

Efficient Data Management

MIS is widely favored for managing essential business data to aid in complex decision-making. The high on significance kind of information is stored in an efficient way and can be easily accessed by the administration anytime anywhere.

Trend Analysis

Management in any organization needs to prepare a presentation for strategic planning and tabulate future goals. In order to create such advanced strategies, they need to possess accurate reports clearing in accordance with prevailing market situations. MIS uses numerous mathematical tools that would analyze current market trends and precisely predict future trends based on such details.

MIS Sets Future Goals

Be it a finance firm, an MNC, a healthcare institute – setting up a goal matters a lot. It requires ample research and development. The information derived from MIS Reports is held veritable and is mostly used to determine company goal. Also, MIS requires current market trend analysis and future industry forecasts. Thus, it won’t be prudent enough to ignore MIS and reporting.

Improved Efficiency

The appropriate information collected by MIS helps in formulating improved goals and top notch strategies for the company. Also, the performance can be easily gauged with the help MIS Reports. Undeniably, MS plays a crucial role in enhancing the efficiency of the organization.

Compare and Contrast

MIS database is encompassing and can be accessed anytime. Management professionals can anytime go through the MIS reports and compare and contrast its present business performance with that of previous years’. Often this helps in measuring company’s growth prospects and if it’s on the right track towards success.

In a concluding note, we would recommend Best MIS Training in Gurgaon; DexLab Analytics is a sure bet when it comes to the best MIS training institute in Delhi. With skilled experts in the team, the institute is one stop shop for all things data analytics.

 
The blog has been sourced from ― aristotleconsultancy.com/blog/mis-important-businesses
 

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Manage Information Systems: Its Challenges and Recommended Solutions

Manage Information Systems: Its Challenges and Recommended Solutions

The scope and capabilities of today’s CFO have extended well beyond the norms of conventional financial management more into strategic domains of business. The new improved job responsibilities make it important for CFOs to derive meaningful data that would sustain and cultivate strategic business initiatives.

However, the real challenge is to find the right data at the right time and in the right format. Traditional MIS systems that are used for expense and revenue reporting have always been laden with inconsistency, inaccuracy and unreserved intricacy.

The manner in which data is collected, kept, assembled and presented to CFOs is complex and unfit for decision-making. For CFOs and finance teams, data management is a very challenging job which takes a lot of time, effort and expertise. But, why?

Aggregate data is extracted from the conventional MIS system

If you look into any organization, product or department heads are allotted given budgets at the beginning of every month or quarter – and their monthly performance is ascertained against this budget. Canned reports issued by the finance departments are studied to gauge employee’s individual performance against budgets.

Based on the data report, corrective measures are taken, cost overruns are eliminated and budget efficiency is maximized. But, what if there exist deviations in data?

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Aggregate data can never determine the cause of budget deviations

In the General Ledger report, you get to scour through aggregate data for spending vs. budget, but it doesn’t contain explicit transactional details that are required for investigating the root causes that trickles budget deviation or any unexpected increase in a specific expense bracket.

Different teams manage and store data in multiple systems

Transactional data found in the GL summary report is derived from numerous systems, such as Accounts Payable, HRM & Payroll and Inventory Management – each one of them is managed by distinct teams.

Sometimes, professionals not belonging from financial departments can be asked to extract meaningful insights from these data.

Obviously, all this makes the task more complex and challenging. No wonder, it takes a lot of time and effort to solve such intricate issues.

The Solutions

  • Replace the traditional GL system with the cutting edge ERP or a bunch of accounting software.
  • Adopt a self-service management system that might be heavy on cost but productive. It would give the CFOs the analytics they are looking for without disrupting their existing GL.

In this regard, Best MIS Training in Gurgaon offered by DexLab Analytics is the best bet. Our robust MIS system gives you gain access to the right data in a format you prefer.

Remember, if your enterprise is facing any of the above challenges, you should definitely look for a better MIS to tackle your business expenditure and make things right. We, being one of the best MIS training institutes in Gurgaon would love to help you out!

 

The blog has been sourced from 

www.happay.in/blog/3-challenges-of-legacy-mis-and-ways-to-overcome-them

 

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Big Data and the Cloud- An Eclectic Mix

Big Data and the Cloud- An Eclectic Mix
The FINRA or The Financial Industry Regulatory Authority, Inc. makes analysis of up to no less than 75 billion events each and every day. It is little wonder then that it finds its data center nearly filled to capacity. FINRA is looking forward to migrating to the cloud in order to continue to provide the protection for investors and continually respond to the market that it is famed for.

According to Matt Cardillo who is the Senior Director at FINRA, they are eyeing the elasticity that is enabled by cloud storage. He further continued also on their radar was an approach change in order to respond to market and volume data change along with changes in the behavior of users. Volatile markets result in usage spikes and also attract a whole lot more of users in their system.

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The surveillance program undertaken by FINRA performs analysis of data for suspicious activities as well as potential fraud. Their algorithms go through and analyze the data for any abnormalities or activities that might not be normal. They have in place alerts and exceptions that take stock of situations and then have access to analytics that help to determine if there is indeed a problem or whether it is a false call.

Stay Ahead of the Big Data Curve

Almost every day a new tool emerges to take stock of Analytics in the brave new world of Big Data Tech. According to Cardillo the kudos for staying ahead of the big data curve goes to the skilled staff at FINRA. He says that his people are innovative and are only too keen to embrace the latest advancements in technology. He confesses that after reverting to the cloud some of their present tech as well as tools will become irrelevant. But they are banking big on open source especially frameworks like Hive, Hadoop and Spark to get most out of the elasticity needed by their business.

 

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