The Benefits Of Artificial Intelligence In The Workplace

Artificial Intelligence is quite a trending topic in modern technology with many businesses adopting its use in their daily operations while others are skeptical about its relevance in the workplace. Let me show you the various benefits of AI to the workplace and how it can make your business grow as well as save time and money.

Simplification Of The Recruitment Process

Human Resource Departments are faced with the task of hiring staff which is quite daunting, frustrating and equally expensive, with personnel having to shift through a large number jobs applications for a relatively few vacancies, but this scenario is gradually becoming a thing of the past with the use of machine intelligence i.e. Artificial intelligence.

AI reduces the stress related to the hiring process through the use of the following ways:

Interesting job descriptions are written by recruiters through the use software known as Textio. This augmented writing platform compiles various job postings and puts forward to consideration suitable content to encourage the submission of more applications from job seekers.

Candidates for various job vacancies can schedule their interviews, allowing them to choose a time must suitable for them and also provides a chance to reschedule. All these are possible through the use of the Montage software.

AI powered software such as Stella match suitable candidates to jobs through the tracking of experiences, credentials and qualities sought for by employers.

Removal Of Repetitive Tasks In Daily Business Operations

Scheduling, rescheduling and cancelling meetings are quite stressful to administrative staff but the use of tools such as X.ai helps by performing these tasks diligently.

Recording, transcribing and sharing notes during meetings are also tasks which can be handled by artificial intelligence.

Improvement In Handling Issues Related To Sales, Marketing and Customer Service

Chatbots are forms of artificial intelligence that can help with support outside the company.They gain experience from real sales and customer reps and use this to assist customers in purchasing goods and services. Questions regarding marketing and customer relationship management (CRM) can also be handled by GrowthBot through the mining of data, both of the public and the company.

The Identification Of Security Risks And Protection Of Data

Financial institutions such as banks apply AI based technology to point out security risks and protect data. Examples of software which make the use of Ai in such cases include Darktrace, Exabeam and SparkCognition.

Increased Productivity

With AI handling most of the mundane and repetitive tasks at the workplace, workers are free to channel their efforts to more important tasks thus increasing productivity.

Productivity could also be boosted and monitored by machine intelligence by helping them discover areas that have high labour costs and other obstacles to increased efficiency.

Will Artificial Intelligence Replace Humans In The Workplace?

With the above examples, some individuals might be tempted to think about losing their jobs to AI powered tools since most tasks in the workplace are getting automated gradually, but their fears are unfounded as human input is indispensable despite the presence of artificial intelligence.

Artificial Intelligence basically handles tasks which could affect productivity and allows workers to be action-oriented and gives them the chance to be more creative.

Quality Control Using Visual Inspection Machines

Machine vision is a manufacturing sector that is growing very fast. The drivers of the growth feel that there is a need for the integration of industrial intent and vision. It is because of this that new vision techniques are emerging and this has led to the creation of amazing opportunities for all kinds of businesses.

It is never easy to explain machine vision, especially to a person who has never heard of it before, sometimes it takes a professional to make things clear. Some of the things that need to be understood include embedded vision, hyper-spectral imaging, as well as artificial intelligence. These are the aspects that can help us understand more regarding machine vision.

Industries Covered

Visual inspection machines are necessary for different industries. These include:

Military tools
Automotive industry
Printing
Pharmaceutical and medical
Machinery
Precision hardware
Plastic industry
Electronics and semiconductor
Packaging
Mining and metals
Silicone or rubber component

The Products Covered

Visual inspection system manufactures deal with different parts and they include smart cameras, smart sensors, machine vision cameras, compact vision cameras, lighting, frame grabbers, software system, lenses, accessories, and services.

Application of Visual Inspection Machine

Visual inspection systems are able to combine high preface processing of vision with the best technology to solve different kinds of quality control, identification, and automated inspection issues. They include:

Measuring Inspection

There are some vision systems that are great for offering accurate inspection results dimensionally and in terms of measurement.

Color Matching

There are vision systems that are able to provide different bits of color processing offering and enhanced image. These kinds of systems provide precision in terms of quality.

Pattern Recognition

These systems are perfect for the recognition of logos, features, shapes, and arbitrary patterns.

Pre-Processing Kind of Inspection

This is a very important aspect of visual inspection machines. This is the capacity to process an image beforehand. This means that the system can actually manipulate the image that has been captured so as to come up with a better enhancement and contrast before the image is processed.

Presence Verification

These kinds of systems provide reliable and high-speed option for checking the shape, the completeness, the position, the size, and the presence of different features. This is an important thing when it comes to verifying packaged goods, assemblies, and parts.

Surface Inspection

Integrated visual inspection machines should be able to pinpoint inclusions, discolorations, cracks, scratches, and contamination at very high speeds. For this reason, quality control is sorted out and at the end of the day; you can achieve the most superior products.

Manufacturers need these systems so as to maintain the highest standards in terms of quality for their finished products, sub-assemblies, and components. It is always important to go for state of the art, powerful and automated quality control machines, and systems. There are so many new generation options that are leading the way in the market today and they are better in so many ways. It is always a good thing to find something that is efficient, faster, and something that is integrated by the experts.

The Pros and Cons of DBaaS-Database As a Service

DBaaS enables you to test drive multiple solutions and only buy the licenses and hardware you need to be successful.

Almost every business these days is data-centered. Whether the data is for internal applications and systems, or for other services that are offered, let’s face it…

Managing data is a key to success.

Before listing the pros and cons of DBaaS, we need to explore a few decisions businesses have to make.

These include numerous quick decisions about data handling that can set them on a path that, if incorrect, are difficult and costly to correct. Those decisions are:

· What database type to use, SQL or NoSQL?

· What are the data storage and query needs? Transactional? Big Data?

· What database system to use? A few SQL choices might be Oracle, MySQL, MSSQL, and Sybase. A few No-SQL choices might be MongoDB or Cassandra.

· Do we have DBA (database administrator) talent or do we have to hire?

· What kind of server or resources are needed? What are my power, server, disk, processing, network, and IO requirements?

· How do I maintain, backup, administer and otherwise own the database framework?

· What is my cost of ownership?

First let’s explore which database type to use, SQL or NoSQL.

Traditional database types classified as SQL have a significant place in businesses and are a mainstay for business choices. However, as companies start to create applications that drive decisions based on significant database analysis of large, almost unfathomable amounts of data, they migrate to NoSQL solutions like MongoDB or Cassandra.

The architecture of NoSQL makes it a good choice for big data solutions while the built in protections of a transactional based system like Oracle make it a better choice for banking or similar solutions.

When it comes to picking a specific system, businesses tend to stick with what they know. In other words, if they already have Oracle, and Oracle talent, then when management asks those individuals which database system they should use on Project X, it should be no surprise that they pick Oracle.

Matching a specific database system to a set of business requirements is an arduous task that should always be looked at with a fresh perspective. It should not just be based on what talent is already employed or what systems a business is comfortable with.

Let’s face it, if a business picks correctly, all is good. If they pick incorrectly, they have wasted a lot of resources which equates to dollars. Enter DBaaS.

Where DBaaS excels is that it gives businesses the ability to test the waters a bit, to try before they invest heavily.

DBaaS acts as a stepping stone to total ownership, a cost effective solution to help you figure out your needs prior to investing heavily.

DBaaS has both pros and cons.

First, it is necessary to distinguish between “hosting database systems” and DBaaS.

There are many cloud based solutions that “host” a database system but provide no significant help in configuration, tuning, consulting, and providing the talent needed to actually use those systems.

True DBaaS provides both the system and the talent to help you utilize the database and determine how to store, query, and analyze your data. The value of DBaaS goes way beyond the hosting.

The pros of DBaaS include:

· No equipment or software licenses.

· Flexibility. Multiple choices are available to test drive your applications and pick the right platform for your business requirements.

· Significantly less staffing requirements. The DBaaS provider handles installation, configuration, and in many cases development.

· Offsite hosting, providing protection from local power failures or disasters. Many businesses design their system with power redundancy in mind, but, in reality, rarely meet those goals.

· SLA agreements that have redundancy, uptime, and backup protections. A DBaaS provider has intent focus on protecting your data.

Meantime the cons of DBaaS include:

· Limited access to underlying servers. This can present itself as a feeling of no control.

· Very little knowledge of how your data is protected from cyber security threats. This can be dangerous for sensitive data.

So how do you decide? Is there a transition from one to the other? Yes, almost always, but by following a few guidelines to start with, DBaaS can be used properly.

Those who wish to use DBaaS should adhere to the following guidelines:

1. Do all development using DBaaS. This is your chance to test drive different architectures and features.

2. Unless you have full disclosure of how your data is protected, managed, and secured by DBaaS providers, it is suggested to consult with database architects to host sensitive data internally. Note, this is typically not big data. When we use the terms sensitive data, we mean just that. Data like SSNs, account details, financials, personal data, etc. Does this mean that you cannot use DBaaS for this? No, it means that you first have to find a DBaaS provider that will show you everything from how your encrypted data gets in their system to storage, access, etc.

3. When you are not sure of what your database needs really are, use DBaaS first. This lets you try SQL or NoSQL. This lets you explore the encryption capabilities of Oracle versus MySQL. Think of DBaaS like buying a car. You test drive sedans, trucks, and SUVs, and try different manufacturers and features. You may decide to lease or buy.

4. Always monitor and evaluate the cost of ownership. As your system grows, the operating costs might make sense to drop DBaaS and build an in-house system. By then, however, you have already decided on what you really need.

The goal with DBaaS is to test drive multiple solutions and only buy the licenses and hardware you need to be successful. You can then hire the correct talent to manage your system.

David Moye is a Principal with Forensic IT in St. Louis, MO, a firm providing big data solutions to companies nationwide. David helped found Forensic IT in 2003 and has some 25 plus years of experience as a software engineer and solution architect. Along with at least a half a dozen core programming languages, he is a certified DBA in Oracle and Sybase and has spent years working with MS-SQL and MySql.