The Big Data Revolution’s Impact on Supply Chains

Wouldn’t it be great if you could rest assured that your business decisions could be backed with security of minimal risk through a formulated testing process to reduce the waste of your business’s precious resources?

In the wake of our society’s shift to a digital revolution, the need of a surge of information analytics has become a necessity to remain both competitive and educated in any business field, but specifically for supply chains. Big data provides large amounts of information to identify the patterns, trends and associative characteristics of certain industry-specific data.

It is becoming more abundantly clear why both Supply Chains and Big Data analysts are coming together to provide insight for all sorts of decision making. Enterra Solutions offers big data analytic services that test the implementation of big data trends and patterns findings through its Cognitive Computing Services.

Enterra’s Cognitive Computing Services provides a scientific method of planning, discovering, implementation and testing to reduce some of the real risks associated with discovering the outcome of decisions. It is important for decisions to be proven evidentially sound before its application to business operations, or productions.

With this type of scientific approach to data analytics, decisions can be generated and tested for soundness and fruitfulness in an easier and simpler manner for any large supply chain. That is why Enterra Solutions offers the integration of Supply Chains and Big Data collection and analysis to more and more clients everywhere, who are finding an improvement in both production and distribution.

How Analytics And Insights Are Different?

The analytics provides the means to look at data over time whereas insights are take away as which you garner from the analysis. The insights are collected through the analysis which helps to form an accurate understanding of different situations, scenarios with the person. It does not matter whether we are talking about insights of the target market or marketing SEO performance or about specific contributions the insights are the things that you derive from analysing the data. For most people, insights are what they really looking for from the tool. These are some of the actionable items which you include in your paid advertising, social media, e-mail, and other strategic plans. Insights are defined as certain pieces of information that you can use to decide what is content to create and understand why a competitor is outranking you in the SERPs or taking a share of voice on social media.

Their difference between Analytics And Insights may seem insignificant and it is important to frame conversation that you are having about the platform. Generally, people do not look for a data platform or an analytics platform. They even do not require raw data and analytics what they actually for are insights, recommendations, and most actions required to help them improve current and future efforts. It is good to keep the distinction between data and recommendations to ensure the person you’re talking to can accurately guide you to find the best match for your needs.

Where Does Human Mind Fall Short In Cognitive Computation Compared To Ai

The importance of cognitive computing is best understood during pandemic when the entire world was working digitally. Everything was handled from the clouds.Can we imagine how we would even get our food if we did not have any data. Thankfully we had been maintaining a database and by the time the pandemic locked us inside, Artificial Intelligence has already found a grip outside. This is just a start of Artificial intelligence and we already have everything taken care of -from the bills to the lights, to keeping track of our health. If AI can touch our lives so intensively, can anyone imagine its role in the future? 

The only thing that was missing in a robot that is, Cognitive Reasoning, is now no longer there. Artificial intelligence is not just computation based on data, it replicates the cognitive intelligence of human mind to evaluate database and logically applies relation between the data fed to give the closest answer. The question asked is the data fed and results given after filtering the data based on the relativity of the inputs it gets is the answer, which a human brain definitely can do, but it may not be as accurate, because a human brain may not have the entire database flashed so accurately. And even if an efficient human mind does that, it definitely cannot do the same as fast as AI does.

Cognitive intelligence has always been the wonder of a human brain that could not be replicated. But what is cognitive reasoning? Is it not just the application of facts arranged logically to make sense? The facts also have to relate to each other. So the same genius who is unique (the human brain) this time has remodelled itself in the form of AI. Now this creation of the human brain has made itself fall short in terms of speed and accuracy. 

Ai Can Help Businesses Monitor Their Work From Home Staff

Undoubtedly, artificial intelligence is one of the most powerful tools in data analytics field. Today, it is a trillion-dollar industry, and surprisingly, many companies have incorporated AI into their security systems as well.

As we are facing the Covid-19 phase, it has drastically changed the number of employees previously working in an organization. Many businesses have reduced their physical working staff by 50-60% and this staff is working from home. When a staff works from home, it is difficult to track the progress but fortunately, AI gives you capability to see and overview the work of your work from home staff.

AI can help you with smart data and smart machines. The advance conduct surveillance technology shall help you handle your staff very easily from any point in the world. You need the best communication tools to know what your employees are doing, train them and make them do their best. To achieve this, AI comes handy. A simple installation of a smart software will help you get rid of everything that blocks your way in achieving success during these times.

We know that AI machines can think like human, they can talk, chat, and at times behave like a human being. While chatting with a bot, you never come to know if it is a human or a machine at the other end. That is the power of AI and it is time to bring in smart data smart machines in your organization as well.

Understanding the power of artificial intelligence around us

Artificial intelligence and machine learning has defined the world around us. From watching the sunrays in the morning to the bidding adieu to the day, we are surrounded by things run and operated with the help of artificial intelligence. You are instructing your smartphone – there is an AI installed in the same, you had a conversation with a chatbot – it was powered by AI, you just filled an automatic form – it would be filtered by an AI for sure and so on. knowingly or unknowingly we are using artificial intelligence more than we assume we are using.

The birth of artificial intelligence can be tracked back to the 1980s and it was looked in a skeptic way. The critics said that if we bring AI Artificial Intelligence Ontology to the fore, humans might lose their importance and we would be too much dependent on machines. However, it never turned out this way. AI and AI powered tools have only helped the mankind and will continue to help in the near future. From recruiting to training, from the onboarding of an employee to managing attrition, sales and operations, administration, accounting everything has been managed by AI powered tools.

The more we use AI, the more humans can focus on valuable tasks. Artificial Intelligence in Ontario is growing in leaps and bounds and this is a great news for all of us. Whether you are a small business or a bigger one, you must leverage the benefits of artificial intelligence to grow yourself and keep pace with your current competition.

The Big Data Solutions For Your Supply Chain

A big data solution for supply chain needs will tell you how much easier it sot save money and time. You will use the solution when you need to know what would be the best way to move your products, and you will work with people who need these options because they have a lot of data that will serve them. They can use all the information from all their shipments to make these choices, and they will continue to do so so that they can compile more data that is more useful. If someone wants to use these big data packets to make others choices, they can do that at the same time.

There are some people who will get a big data solution for supply chain needs, and they will look through their data every month because they can use that data to adjust how they do the work that they do. They get to have the best ways to make their products move, and they feel like they can save money in the process. They can streamline all the things that they want to use, and they can spend half the money they did or less. It could be much easier for someone to make those choices when they have problems, and they also should remember that they can do this right away.

Tips to improve Secure Information sharing

The need for securing your shared information has never been higher and it is not just your personal chats or messages but also the records you share with a hospital or a government office. Every piece of information on net is now prone to hacking and thus requires your utmost attention to deny the hackers what they want.

You are always a target

One of the biggest misconceptions people have is that what good can happen to hackers by hacking your information. It is not true by any means as you are always under cyber threat and this is exactly why you need secure information sharing methods.

Keep your software up to date

One of the most basic things that you can do is that of updating your software on a regular basis. Whenever you stay away from updates, you are leaving your software to all kinds of malpractices and hacking options. In fact, one of the best things you can do is to keep it on auto-update.

Practice good password management

Not changing your password on a regular basis is something of an amateurish mistake in today’s world. You should not continue with this any longer. Change your password at least every 3 months. You should use long passwords, preferably more than 20 characters from different sets.

Be careful with what you click

In a time, when anything and everything can be a malware on the net, you should be careful about what you are clicking. Especially, if you notice, the downloadable clicks are the ones with the most amount of malware.

Never leave your device unattended

Another amateur mistake that you can do is to leave your device unattended. It is not just for your mobile, laptop or desktop but also for the hard disk or flash drive that you would be using. Keep a lock on everything and never leave it in public unlocked.

Use mobile devices carefully

Mobile device is something that almost everyone uses now and almost all the services you do from a laptop or desktop can now be done through your mobile device. Therefore, the security of your information is at an all-time risk because of the multiple applications and other files you download. You have to ensure that all the downloads are secure and through secure browsers to ensure security of your data. This is one of the key factors to ensure secure information sharing.

Install anti-viruses

Install anti-viruses to ensure on all your devices to ensure maximum security. Also, make sure that the anti-virus you install has a quality in-built firewall in it.

To get all the solutions to secure information sharing on your devices, contact Enterra Solutions to get the best services out there at affordable prices.

Everything You Must Know About Natural Language Processing

Natural language processing data is essence is a field of artificial intelligence that basically gives the machines the ability to read, understand and derive meanings from human languages. The field of natural language processing data is on a boom today due to the huge improvements in the access to data and the phenomenal increase in computation power, which is allowing professionals from all fields such as healthcare, media, finance, and human resources in achieving meaningful results.

So, what all are the avenues where natural language processing is currently used?

1)NLP enables the recognition and prediction of diseases based on just electronic health records and a patient’s own speech. This capability is broadly being explored in health conditions that go from schizophrenia, cardiovascular diseases to even depression.

2)Organizations nowadays can determine what the customers are saying about their products or services by extracting and identifying information through sources such as social media. This sentiment analysis has largely been possible due to the use of natural language processing data.

3)IBM too recently used natural language processing for developing a cognitive assistant. It primarily works like a personalized search engine by learning all about the user ad then reminding them of a particular name, song, or anything they are unable to recall at the moment.

4)Tech giants such as Yahoo and Google, classify the mails by using NLP, i.e. they analyze the emails that flow through their servers and stop spam even before they are delivered to the user’s inbox.

5)NLP is also increasingly being employed in both the search and selection phases of talent recruitment by identifying a candidate’s skills for a potential hire.

 

THE BASICS OF DECISION MANAGEMENT ANALYTICS

Each and every business needs to makes decisions, but the question arises how to make these decisions more effective and efficient. Decision management analytics refers to a uniform procedure which aims on making the operational decisions of the entire business firm more accurate, consistent and agile. The prime components of an efficient decision management system involve discovery of modelling decisions, fabricating IT components which fuse higher analytics with the rules of the business which overall ensures in maintaining a superior quality of decisions in the long run. The decision management is focused on those decisions which are repetitive in nature, have the potential to be automated and are impactful. It enables in earning a higher Return On Investment by focusing the resources of the organization on the operational decisions. To support this notion, here a few points that show the importance of decision management analytics:

Ensures an ideal model is developed

By defining and assigning the resources of the organization on the operational decisions of the organization, it is ensured that the model which would be adopted in the organization would suit the needs of the firm.

Promotes unity in the organization

By developing such models, the process creates an opportunity to bring in the diverse departments of the firm to come together and work together.

Improves the quality of decision

When the decision is taken, taking into consideration the various advanced elements of the organization, it is quite obvious that the decision that would finalized and executed would be of the highest quality possible.

Why Is It Important To Share Information Securely?

Sharing information inappropriately can affect your organisation adversely in many ways. There is always a chance of losing the data, theft or improper use of information. Staff, contractors, suppliers and other organisations that handle the data should know how to share it securely.

Some of the issues which need to be addressed by the top management of the organisation are

*Are your employees, suppliers, contractors and other people who have access to secure information are clear about the policies and rules of sharing it.

*What all mediums are allowed to share information by the people who have access to it, are they clear on policies made on the same?

*Whether or not there is clarity on data and information critical to your organisation?

*How is confidential data and information is managed by the staff and other people who have access to it, do they know how it is to be stored etc.

By secure information sharing with other organisations, you can reduce the chances of having a fraud in your organisation. With the expansion in business, it’s more likely to be attacked by increased cyber-attacks. Your team of anti-fraud specialist should possess the necessary skills to counter the attacks on your organisation. If your expert team is not able to cope up with rising attacks, then it’s time for secure information sharing with other organisation that has a team to deal with these issues.

Collaborating with other organisations can help your expert team to learn the new ways to handle the increased attacks, know which mechanisms to apply to reduce or avoid the attacks.

What you need to know about Artificial Intelligence and Big Data

Technology is taking over each day and staying aware of what’s happening is a definite requisite.

What is Artificial Intelligence (AI)?

Machines can now simulate human intelligence processes. They learn, analyse and remember past experiences of data provided. Computer systems can reason and self-correct too. They are programmed to think like humans and solve problems. AI gives the best algorithm and a course of action for solving problems.

AI is incessantly evolving and getting better each day.

Artificial intelligence finds its application in myriad fields today.

*It is being used in healthcare industry and continuously being tested for new implementations. AI doses drugs and also does surgical procedures.

*Self driving cars are another big example of AI. These cars account for all data like, other cars on street, turns, breakers or any potential threats and hence drive cars like humans or may be better!

*AI is also used in finance departments to detect any fraudulent behaviour.

What is Big Data?

With increasing businesses, the data that companies gather is also increasing. Big data are data sets that are very large to be processed by traditional methods. Big data is used to predict customer behaviour, trends and analysing the causes of failures or issues that take place.

Artificial intelligence and big data are closely related. Larger availability of data is helping artificial intelligence to get more efficient in learning and giving a better course of action by analysing large sets of data.

Artificial intelligence and big data go hand in hand!