ARTIFICIAL INTELLIGENCE – Tech Splashers

10 Uses Of Artificial Intelligence In Industrial Manufacturing

Tech Splashers — Tue, 17 May 2022 08:57:04 +0000

Artificial Intelligence in industrial manufacturing is defined as the intelligence that machines have to perform tasks similar to those of humans, such as responding to internal and external events or even anticipating them autonomously. In this last post on Artificial Intelligence we are going to focus on describing the 10 main applications of Artificial Intelligence in industrial manufacturing processes.

Smart Factories

If dispatches can be automated, factories even more so. Today there is a wide variety of robots available to any company, regardless of its size, which use AI to perform much more precise actions and make decisions in real-time, adapting to each type of production process. For example, collaborative robots improve safety by making it possible to take advantage of the cognitive capacity of people, focusing on providing automatic and repetitive capacity in work processes, while also being easy to reprogram, transport and install.

It is not just that human labor is more productive, but Artificial Intelligence in industrial manufacturing leads to optimal utilization of existing machinery on the manufacturing floor. With Big Data and Artificial Intelligence, we are able to collect millions of data that are recorded daily in plants, process them and act before problems or defects arise in the processes. We can identify anomalies and breakdowns, predict unexpected stops, replenish inventory, identify and predictively solve quality problems, monitor safety problems of people or facilities, etc. In short, AI is a new business model that makes it possible to speed up and optimize production processes.

Flexible Manufacturing

By merging AI with Robotics we can increase uptime and perform tasks for flexible manufacturing demand. Robots can monitor their own accuracy and performance, autonomously notifying if they require maintenance to avoid costly downtime, or can even be easily reprogrammed to perform new tasks. For example, by applying AI techniques based on Deep Learning to intelligent robots in a food factory, we are able to detect different types of food running on the same production line, to later be extracted or stored, optimizing the storage space and minimizing waste.

Custom Product Manufacturing

The client is becoming the new market standard and here Artificial Intelligence is key to decide and accept adjustments based on data provided by the end client, which will be taken into account in the design. Thanks to AI we can more quickly design products that adapt to particular needs, maintaining the efficiency of mass production in order to remain competitive. In turn, virtual reality is of great help to designers when it comes to digitally simulating a product before it is manufactured and thus interacting with it for testing.

Smart Provisioning

In companies, AI helps anticipate demand and based on that demand make long-term purchase decisions, at a certain price and in certain quantities, to supply and adapt the company’s productive capacity.

Stock Control

Intelligent stock management can be done by installing cameras with “Artificial Vision” connected to a previously trained system. Its algorithms can detect if an inventory needs to be replenished and then an order can be sent to the appropriate manufacturing plant or distribution center to fulfill the request immediately.

Another possibility is to manage the inventory with photos of invoices and delivery notes. This can be possible with an OCR system , taking a photo of any document. The program reads the information and saves it where it belongs. With a photo, the information is already available, both on the products that are being received, as well as the quantity and the price paid.

Predictive Maintenance

Artificial Intelligence in industrial manufacturing is also used to anticipate when a machine is going to start to fail. The machines generate constant data every second in their operation, allowing us to carry out predictive maintenance. Detecting failures before they happen based on data and statistics is using AI to predict what will happen in the future. These tasks are already being implemented in many companies: Prescribe how a machine must be used or maintained so that it does not have failures.

Quality Controls

Quality is another thing that greatly affects productivity. Vision cameras are being installed in almost all companies to analyze if a product has failed. With AI, you try to see what elements fail: if it is the raw material, the manufacturing process, etc.

Energy Efficiency

There are also intelligent energy management systems that make it possible to optimize the cost of energy to the maximum, while ensuring maximum comfort for users. What is the difference between a traditional system and one that applies Artificial Intelligence in industrial manufacturing? In the traditional system, if it starts to get hot, the temperature is lowered. While with AI you have a really efficient model. Through sensors that calculate the number of people, the outside temperature, etc., data is obtained and the system makes its own decisions.

Smart Logistics

In this field, the main applications of AI are related to setting a dynamic “pricing”, based on the particular situation of each moment: Supply, demand, weather conditions, level of competition, optimization of routes in real-time to minimize inefficiencies, transport with an empty vehicle or the simplification and digitization of processes (chatbots, computer vision or natural language processing).

Detect And Avoid Cyber Attacks

AI-based computer security also makes it possible to work with predictions, anticipating cyberattacks when they have not yet occurred. Thanks to Big Data and the Internet of Things, machine learning systems, based on AI standards, help prevent possible attacks. Machine learning is capable of efficiently managing a vast set of data that comes from a connected world in real-time. The data they use is extracted in real-time and from historical data, creating patterns of anomalous behavior that can hide a vulnerability and quickly setting indicators of attack and threats.

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We Only See The Tip Of The Iceberg Of Artificial Intelligence

Tech Splashers — Sat, 22 Jan 2022 11:21:27 +0000

The Artificial Intelligence is that big appointed and although we did not create, the unknown time, they often associate it with small concepts of what it really is. We could define artificial intelligence as the simulation of human intelligence processes through the use of machines. An ideal intelligent machine is one that perceives its environment and carries out actions that maximize the success of a specific task, that is, that a machine is capable of imitating the functions of humans to solve specific problems.

We see, more and more, new developments and technologies based on AI in all our walks of life. From social networks with ads and content fully adjusted to our profiles; washing machines or smart TVs; the Industry 4.0 that optimizes resources and increases productivity; improvements in research in the field of health, such as, for example, early detection of cancer or even the ability to predict the three-dimensional structure of a protein based on its genetic sequence, key in the diagnosis and treatment of diseases and a great and so on. In such a way that AI has become a common and increasingly widespread term in our day to day.

Talking about AI is normal today and we assume that this technology is consolidated, but it is not. We are currently experiencing a false heyday and over-expectation and we are not realizing that it is only an infinitesimal part of what artificial intelligence can contribute to both society and industry, and of course, of the road that still remains. We are really beginning a very strong vertiginous ascent in which we all must adapt, from researchers and developers, who must generate new algorithms and tools, as well as society, industry and even the legislation of the countries that must adapt to these new changes that are more complex than we imagine.

The Gartner Hype Cycle study or cycle of over-expectation allows us to see how different technologies will evolve over time from the point of view of the expectation it generates and when they will be consolidated . This study confirms that AI is an emerging technology that is reaching the peak of inflated expectations and that such AI-based technologies will reach the plateau of productivity in about 5-10 years.

With this perspective of growth and oversized expectations, we must be clear that much remains to be done and that we only see a small part of the great iceberg that is AI. In turn, this great iceberg is made up of an immense number of technologies and sciences that must be addressed and resolved to reach the maturity of Artificial Intelligence that we all seek. BigData, distributed systems, cloud computing, visualization systems, statistics, pattern recognition, ontologies, graphs , among others, are different fields that must be known and mastered in order to reach a state of maturity and productivity in Artificial Intelligence.

It is at this point where ITI, with its wide range of knowledge in these fields, comes into play to play a key role in reaching maturity and putting Artificial Intelligence projects into real production. Hence the AITANA project was born, as a tool that facilitates the development of Artificial Intelligence projects, specifically for Machine Learning projects, allowing data scientists to develop their own AI projects, abstracting from the complexity of the great iceberg that is AI, facilitating access to visualization systems, cloud computing, distributed systems, project deployment, MLOPs, etc.

AITANA’s main objective is the development of a methodological environment supported by a set of tools for a correct, efficient and adequate development of Machine Learning models , contemplating the complete life cycle of applications of this nature, from its initial exploratory analysis, going through its local or distributed training, until its final deployment in production, allowing the researcher and/or data scientist to focus on the most purely AI tasks and abstracting them from complex tasks such as data management (BigData), put into production through microservices or training in computational nodes.

The main result of the project will be an innovative Artificial Intelligence and Machine Learning work environment that synthesizes and provides a set of tools and libraries to facilitate the development of models, both for novice users with basic knowledge of AI/ML, as well as for advanced users. with experience in the development and deployment of more complex applications. The environment aims to streamline the development and implementation of applications based on AI and ML through the systematic and simple transfer and start-up of applications developed for different production sectors.

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Using Artificial Intelligence To Boost Your Small Business

Tech Splashers — Mon, 27 Dec 2021 07:35:37 +0000

According to Gartner, many companies believe in artificial intelligence’s (AI) potential, with the industry recording a 270% growth in usage among businesses in four years.

AI usage could create close to $3 trillion of business value in 2021, according to Semrush. Take advantage of AI and use it to boost your small business as well.

However, implementing third-party AI software can cost up to $40,000 a year. Thankfully, that’s where an ITIN loan comes in. Since AI can create real value for your business, it makes sense to take out a loan.

This article points out ways to utilize AI to boost your small business.

The Impact Of Artificial Intelligence On Small Businesses

Some of the ways AI can impact small businesses are:

Accurate decision making: AI applications can provide a benchmark that a small business can use to help them make proper and timely decisions. As the global digital ecosystem grows, efficient paths will create frameworks for better decision-making.

Better Security: most businesses’ primary concern is usually cybersecurity. Integrating AI applications into your network will help secure data as AI can help identify breaches in your network.

ImproveRecruitment and HR tasks: small businesses typically don’t have any HR personnel or department. That means the owners have to tackle all human resource duties, which can be overwhelming.

The AI features in some of today’s HR tech software can lessen manual work, speed up operations, and decrease repetitive tasks. You can also use these systems to create job searches, scan through CVs, and pinpoint top candidates faster.

AI Applications That Can Improve your Marketing

Getting capital ITIN loans can help acquire these tools to boost your marketing strategies:

Salesforce Einstein

Salesforce Einstein uses AI to analyze marketing, sales, and customers. Small business owners can use it to mine sales and customer information. This application is a business and customer analytics platform that offers flexible customer analytics.

HubSpot Sales Hub

This powerful Customer Relationship Management (CRM) tool features solid sales analytics and engagement tools.

Increase sales rep efficiency by placing all customer information in one platform for easy access. The CRM also points sales reps to warm leads and provides rich insights.

Intercom

Intercom’s chatbot uses machine learning to process its answers. The Resolution Bot digs into your FAQs and knowledge base to develop solutions.

Further, it can start conversations with potential customers (leads) and engage highly qualified leads to help convert them into paying customers.

Zoominfo

Zoominfo combines top-in-class technology with an incredibly comprehensive business database to fuel go-to-market strategies. Use this marketing tool to get an accurate view of prospects and customers.

Your sales and marketing team can use the seamless integration in their workflows and robust features to get more leads.

Yva.ai

The application is an employee experience platform. You can use this intelligent survey platform to understand your marketing workers’ needs in real-time based on the collaboration circles overseen by the powerful collaboration analytics.

Using AI For Management In Your Small Business

Here’s how you can use AI to manage your small business:

Smarter Email Marketing

Artificial intelligence has been prevalent in the marketing space for years. That said, it remains a great place to focus on at the beginning of any business journey and is now a reasonably mature concept.

Artificial intelligence-based email applications will do the work of reaching out to your customers when they haven’t been to your store for a while

Reducing Mundane, Repetitive Tasks

Several tools and software use artificial intelligence to help with sales processes. It would help determine which part of your small business needs help.

For example, an AI personal assistant can help schedule meetings and ensure meetings’ schedules happen at convenient times for everyone. It can even tell you when you need to make payments on your ITIN loans.

Stronger Sales

Sales and marketing are inseparable aspects of every business. An effective marketing process will result in better sales. Also, AI applications can help streamline your marketing process, which will allow you to sell more and make greater profits.

Understanding The Customer’s Journey

You can use artificial intelligence to track your customer’s journey and analyze their behavior. The insights you get from these processes will help create a more personalized customer experience, which might help keep the customer happier.

AI Applications To Enhance Your Business

AppZen

This cloud-based expense auditing and expense report solution can cater to large and small businesses. You can use it to contract audit reports, create invoices, identify rule violations, and analyze expenses.

Knowmail

This fully-featured business email platform serves small businesses and startups. It offers end-to-end solutions made for Web App. You can use its email monitoring, and queue manager features to manage your email marketing campaign.

Timely

Timely is an automatic time tracking application you can use to connect with your workforce accurately. Use it for capacity planning, project management, and scrutinizing payroll.

LegalRobot

This application leverages deep learning and machine learning techniques to process legalese. Small business owners can use this application to help them understand legal documents better.

Dewo

It is a productivity-tracking application that uses AI to develop up-to-the-minute timesheets for you and your employees. You can use this software to reduce distractions when employees are working.

IBM Watson Assistant

Watson Assistant is an application that allows you to integrate conversational interfaces and data into any channel, device, or application. The most common features that small businesses can benefit from are chatbots and virtual agents.

Trevor.ai

This is a task scheduling assistant that syncs with Google Calendar. The application also links up with all the tasks listed on Todoist to develop a task schedule that ensures you or your workers optimize your working hours.

Final Words

There are plenty of reasons to integrate AI into your business operations. It can improve customer service provision, streamline marketing campaigns, help translate legal jargon, and increase employee efficiency.

Click the link in the introduction section to find out how ITIN loans can help acquire AI solutions for your small business.

Infographic created by Donnelley Financial Solutions, an ESG data management company

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Intelligent Automation is Transforming Business Outsourcing

Tech Splashers — Tue, 19 Oct 2021 10:46:27 +0000

As per the Gartner report, Intelligent automation is all geared up to transform and fortify business outsourcing. In the era of radically transformative change which is disruptive and redefining traditional business models, vendor management leaders must adequately prepare to restructure their services. And also learn how to renegotiate contact to leverage the full potential of intelligent automation. But, is your organization ready for the change? Let’s understand the force of change influencing the future.

As per Gartner, Intelligent Automation serves as an umbrella term that enfolds a variety of skills, strategies, techniques that service providers leveraging to curb the requirement of labor, cost, and enhance the predictability and reliability of services.

Research director at Gartner, D.D. Mishra said, “Intelligent automation will alter the provision of managed workplace services over the next few years enhancing the service quality at the lowest rate.”

He went on saying “Sourcing and vendor management must prepare to restructure these services and renegotiate contracts to leverage intelligent automation. As the automation-driven of service delivery improvements and Pricing will allow sourcing and vendor management leaders to select a wider range of moving managed workplace service (MWS), which in turn improves quality and cost simultaneously.”

Making a transition from MWS functions that are solely focused on human functionality to the amalgamation of human and intelligent automation services (IAS) will create benefits in both service and pricing quality.

Although the transition to human labor with IAS would be fruitful if the automation services offer cost reduction and quality. Many enterprises have come to realize that simply adding more staff to MWS is not an attainable business and it’s time to turn from reactive to proactive automation.

With intelligent automation services as an integral part of managed workplaces, providers will pass on the part of resultant cost savings to the customers, which will position them competitive and win business.

As per Gartner statistics, intelligent automation can be up to 65% less expensive for MWS such as service desk than for offshore staff. Gartner predicts that until 2021, the market price of commodity services to be declined by 15% to 25% percent.

As per the expected reduction in outsource headcount due to the introduction of intelligent automation, vendor management, and leaders will be compelled to redesign their workforce.

That means there will be a considerable drop in the number of staff required on the service desk, as 70% of the workload will be handled by IAS and 30% of staff will remain. Eventually, this transition will require sourcing and vendor management leaders to consolidate new risk management provisions and modifying the MWS contracts.

As a part of digital transformation, intelligent automation is transforming the landscape of IT services. To give the next generation robotic process automation technologies, organizations must look beyond the technological disruptions and set up a holistic approach to drive the future of automation in the workforce.

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10 Technological Innovations That Will Arrive In 2020

Tech Splashers — Tue, 20 Oct 2020 05:48:31 +0000

Beyond the increase in memory of smartphones, the resolution of cameras or the life of batteries, technology innovations are the advances that will really make an impact this 2020 year.

Smart Homes

At the end of 2019, Apple, Google and Amazon signed the Connected Home agreement with the aim of “developing and promoting the adoption of a new royalty-free connectivity standard to increase compatibility between smart home products.” In simple terms: all devices will start to be able to talk to each other, regardless of brand or brand. Thus, the programming protocols will be clearer and the instructions for use, simpler.

This will allow, for example, that when opening the door of the house with a smart lock, the light bulbs of the house are turned on immediately. And the same with any electrical appliance: robot cleaners, washing machines, smart refrigerators.

Artificial Intelligence As A Service

Decades ago it was thought that by the year 2000 robots would be our butlers at our service. Today that place is beginning to be occupied by artificial intelligence. According to a recent study, AI-generated € 9 billion in 2018, a figure that will rise to € 110 billion in 2025. For example, Google Duplex will be able to make a reservation at a certain restaurant and the system takes care not only of calling but also of speaking and managing the time.

The same will happen soon with appointments to the Treasury, hospitals, movie tickets. And probably in the not too distant future, there will even be suggestions: “It’s Valentine’s Day, are you interested in me sending flowers?”

Health And Microchips

The true reduction in the size of the microchips does not happen so much through their miniaturization but through the reduction of the space between the transistors, the “neurons” of the chips. The less space there is between them, the more “neurons” and more processing capacity they can achieve. . in 2000, the distance between transistors was 130 nanometers, and there could get about 58 million transistors. in 2010 was down to 32 nanometers and could be grouped up to 1,700 million transistors. we are currently in the 7 nanometers, space has been reduced just under 5 times, but the number of transistors has increased more: up to 10 billion.

This means that currently in a very small microchip, one that fits into a headset or even a lens, you can put the processing capacity that a computer had 20 years ago. Thanks to this it will be possible, for example, to measure certain medical data in order to develop innovative medical treatments.

A World Connected By 5G

2020 will be the year the new connectivity standard takes off. During this year, to the 15 Spanish cities that have 5G, 32 more will be added, notably increasing the number of inhabitants who will have access to this technology.

Streaming

Every thirty years or so, the entertainment industry experiences a revolution. From silent films to sound films, the appearance of television, cable television, music on demand and now it is the turn of streaming services. There are a large number of websites where you can enjoy audiovisual material and many users end up frustrated with such a platform. Probably all these libraries end up being accessible simultaneously from the same application or web.

Advertising On Demand

Notices and purchase suggestions are increasingly personalized, but in the future, it will be more adapted if possible. In the next wave, the key will be in the smart speakers. During the last three years, Amazon and Google have dominated this sector, but brands such as Lenovo, Xiaomi, Apple and Huawei want to get on the bandwagon of speech hand in hand with advertising.

There are even those who see that smart speakers could revolutionize the market by giving away to customers with premium accounts, for example from Amazon, in exchange for listening to certain hours of advertising per month.

Autonomous Driving

It will take years for the roads to adapt, with adequate signs and pavement, to autonomous driving, but we will see a drastic change in 2020: freight transport. The autonomous taxi firm Waymo, for example, has carried out a trial in which it has transported, in California alone, more than 6,200 passengers in less than a month.

And he even just signed an agreement with the courier brand UPS to deliver packages. This will be one of the great revolutions of autonomous driving: at night hundreds of driverless vehicles will leave the warehouses of Amazon, Asos or other companies, to deliver packages in distribution centers. It is a perfect time: few pedestrians, fewer vehicles and those who circulate will be connected to each other to pass information and create, first, safe driving and later a database of roads and traffic lanes with the aim of improving the entire infrastructure: where signs are missing or unclear, a complaint will remain.

Living In The Cloud

Until now, “the cloud” has been talked about in an abstract and distant way. However, it seems that this may change. In 2018, 18 zettabytes of information were generated on the planet, in 2019 the figure almost doubled to 33 zettabytes and it is expected that in 2025 it will reach 175 zettabytes. Or what is the same, more and more people will save their photos, videos and documents in the cloud.

TecnoChina

For years, in technology, China has been viewed with very critical eyes from other Western states. Now, the rise of the TikTok social network could change this perception in younger generations, making China a source of interesting and desirable products and services.

This will require an interesting adaptation to the information publication and use systems, which are very different between the European Union, China and the United States. A very good excuse to start educating the youngest in technological responsibility.

Planet Internet

Beyond the Internet of Things (IoT), in 2020 the IoW will arrive the Internet on the World, or internet everywhere. The arrival of 5G, new antennas, better-connected mobiles and more efficient systems, will allow being connected to the network in any corner of the world and at any time. Something that can be very useful, but it can also have unexpected consequences.

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Present And Future Of Artificial Intelligence

Tech Splashers — Sun, 03 May 2020 15:16:43 +0000

A report on Artificial Intelligence depicts a scenario in which machines “exhibit in the next 20 years, widely applicable intelligence comparable to or superior to that of humans.” This is a study carried out in 2016 and has now been updated by AI experts from the United States and which concludes by saying that “machines will achieve and exceed human performance in more and more tasks.”

However, the authors of the aforementioned study rule out that on the horizon of the year 2040 we come to live with computational models as complex as the human being. But before we get to that point, we must begin a journey to understand the origin and applications of AI.

First Contact With Artificial Intelligence

Artificial Intelligence seeks an explanation of mental functioning based on the development of algorithms to control different things. Thus, we must understand it as a set of algorithms capable of allowing a machine to think and carry out tasks and processes that the human mind has developed in the first order.

On this basis, we have to see AI as the compilation of fields ranging from robotics and expert systems to others such as neural networks, process control, and genetic algorithms. All of them start from the same objective: “the creation of machines that can think for themselves.” A science fiction that is already more than a reality.

Who has not ever talked to a computer or requested information of any kind from their smartphone? Unknowingly, many of us have had contact with that level of ‘ thinking or intelligent machine ‘ long before we are able to remember.

Types Of Artificial Intelligence

There are four types of Artificial Intelligence. The overall ranking takes into account what experts define as a broad view of advances in Artificial Intelligence (AI) research. A kind of consensus that comes to say “that intelligent and sensitive machines are getting closer.”

Also Read: Is Artificial Intelligence The Future Of Public Relations (PR)?

1. Reactive Machines

The most basic AI systems are framed in this section and are fully reactive and without any ability to form memories. Nor do they take past experiences as a reference to dictate current decisions.

The biggest example of this type of AI is Deep Blue. A supercomputer created by IBM in the late 1990s. A reactive machine that managed to win chess, nothing more and nothing less, than the international master Garry Kasparov.

Thus, he based his departure on predictions about the best movements and elections based on the analysis of all possibilities. An accurate choice in real-time, but from which Deep Blue did not generate any memory.

2. Limited Memory

As its name suggests, these are machines capable of looking at the past with short-term memory and able to detect behaviors or actions and anticipate a response.

As its name suggests, these are machines capable of looking at the past with a short-term memory capable of detecting behaviors or actions and anticipating a response.

The best example of this type is the autonomous vehicle capable of guiding driving based on observing the speed and direction of previous routes. The vehicles add to their limited memory issues such as the order of traffic lights, the state of the road, curves, or speed limitations, among others. Theory of the mind.

In this section are the AI systems that are posed in the present and the future. These are more advanced machines, capable of having an understanding of human thinking and behavior.

Also Read: Artificial Intelligence Will Change The Future Of Human Resources

3. Theory of Mind

In this section are the AI systems that are considered in the present and the future. These are more advanced machines, capable of having an understanding of human thinking and behavior.

A kind of repetition of the human self, capable of knowing what we are looking for at a certain moment and even how we want to be treated.

4. Self-Awareness

Creating machines capable of forming representations of themselves is the goal of AI as a final step in its development. To reach this point, it will be necessary to create devices capable of understanding consciousness and equipping it.

At this point, some experts differ about the need for machines that are self-aware and act as humans do. However, many AI experts focus their efforts on memory understanding, learning, and the ability to base decisions on past experiences.

Application Of Artificial Intelligence

AI began to take its steps in the late 50s of the 20th century, and 70 years after that moment, what for many was science fiction is a reality present in the day to day with unstoppable progress.

Thus, different areas of application of AI are distinguished among which are:

Process control and management: analysis in an intelligent way, determination of objectives.
Manufacturing: design, planning, programming, monitoring, control, project management, simplified robotics, and computer vision.
Cartography: interpretation of spaces and photographs, design, identification of cartographic problems.
Professions: Medicine, Accounting, Geology, Archeology, Chemistry.
Software: design, verification, maintenance.
Weapons systems: target identification, image processing.
Finance: planning, analysis, consulting.
Education: exams and diagnosis.
Engineering: design, control, and analysis.
Equipment: design, diagnosis, maintenance, configuration, monitoring, and sales.

Based on these application areas, we see how Artificial Intelligence is present in the different gears of society in the 21st century. Specifically, it is presented as an indispensable ally of progress in computer networks, medical and health processes, mechanical equipment, electronic circuits, financial matters, etc.

In commercial terms, AI is used in manufacturing monitoring processes and scientific process management and to coordinate the vital functions of a hospitalized person; or in planning matters regarding credit and loan analysis, among others.

In the industrial field, AI completes design processes with the integration of microcircuits and/or computer vision systems capable of offering a selection of parts and components, assembly, and quality control.

A Work Of Humans And Machines

Facing the nearest future, and even the distant future, AI has significant challenges in its development in order to provide 21st-century society with the necessary tools to draw unstoppable progress.

Along this path, many experts in the field see how computers programmed with AI will help solve a large part of the tasks of the future, despite the fact that it seems that the human factor in this process is conceived as irreplaceable. Man and machine will work side by side.

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Is Artificial Intelligence The Future Of Public Relations (PR)?

Tech Splashers — Thu, 23 Apr 2020 19:25:34 +0000

The use of Artificial Intelligence (AI) is getting deeper into our day today. Few of us could live today without using Google Maps while driving our car to get to meetings without delay or without Alexa making our lives a little easier with the simple use of voice commands.

Beyond factory robotics, the introduction of RPAs for business process execution or AIops for IT tasks is increasingly being discussed in all types of industries. Today, we are going to analyze the impact of AI in the Public Relations (PR) sector.

What Is Artificial Intelligence For?

The main objective of systems powered by Artificial Intelligence is to emulate human behaviour when carrying out certain tasks. This, which for some is considered a worrying element to keep their job, is actually widely used by PR experts. Mainly when automating tasks, being able to increase their capacities and focusing work on tasks that really add value.

Also Read: This Is How Artificial Intelligence Can Help Small Businesses

Where Can Artificial Intelligence Help Public Relations (PR) Work?

Artificial Intelligence systems are very good at computing data. Its degree of accuracy and speed is much higher than that of humans. So they can be used for the preparation of daily tasks such as:

Assistance in crisis management.
Monitor social networks and media.
Forecast trends.
Write stories with structured (data-driven) data
Generate media lists
Audio and video transcription to text.

What PR Tasks Cannot Be Done With AI?

According to the BBC website, “ Will a robot take your job? ”( Will a robot replace their job ?), PR professionals have a low probability (18%) of being replaced by a machine.

This is because most of the decisive tasks of public relations specialists require a high degree of “human touch”, such as:

Build new business relationships
Development of creative strategies
Maintain customer trust
Creation of original content and stories.

Areas Where AI And Public Relations Offer Good Results

Let’s abandon those fears of AI advancement and dig into some of the ways this technology is positively impacting the world of public relations.

Campaign Planning

Process automation benefits the planning of a PR campaign. Such is the case of precision that a public relations expert needs, that they need to determine when is the best time to launch a campaign, define what is the best means for launching or find the headline that best captures in order to capture the consumer attention.

AI systems can extract valuable information in large databases by providing answers to questions essential to the success of a project, such as:

Which social networks are more effective.
What day of the week and time of day is the best to connect with the audience
Which media or influencers are the most suitable for that campaign.
Which headlines are the most appropriate to use.

Execution Of Minor, Tedious And Repetitive Tasks

In the public relations industry, as in other sectors, there are many minor tasks that end up taking up a great deal of time and dedication from professionals. However, that time could be spent on executing actions that really have a positive impact on business creation and that really offer value to the agency.

Some of the minor tasks that AI can automate can be:

Creation of interactive reports.
Control and content auditing.
Alert management.

Accurate Quality And Fast Information

PR agencies and professionals deal with a huge amount of data. Thousands and thousands of interactions for each client and campaign they manage.

Therefore, it is not easy for account managers to quickly and effectively recognize all this information to extract the most significant details from all channels (social networks, emails, media…)

Artificial intelligence can analyze and extract that desired information in record time. To show the PR professional details of

The most representative influencers.
The haters with the most impact that can harm the brand.
Calculate the level of interaction.
The means that give the most impact to the campaign/client.

Conclusion

So should public relations professionals fear the advancement of AI? The truth is that no. However, Artificial Intelligence will end up greatly reducing or eliminating the most tedious and repetitive work of communication experts.

All possible tasks to automate will be assigned to the machines, which will eliminate human factor errors. However, all responsibilities related to social skills will continue to belong to humans.

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Artificial Intelligence Will Change The Future Of Human Resources

Tech Splashers — Sun, 09 Feb 2020 20:27:57 +0000

Artificial Intelligence to prevent natural catastrophes

“In 2022, 70% of executives will interact with conversational platforms, chatbots or digital assistants in their day today.” Natural conversation is used, it is not necessary to download apps and it is available 24 for seven 365 days a year.

HCM, which stands for Human Capital Management, which in Spanish translates as human capital management, is one of the most important fields of HR in companies, and it is essential for them to effectively use technology to be able to handle large amounts of data and use them in their strategies to increase their competitiveness.

Speech Recognition

One of the main factors that could be thought against the integration of AI in this field is human interactions, and how these are a fundamental pillar in the treatment of employees. The great technological advances in the coming years that allow huge leaps in the voice recognition of machines. Advances in image recognition, natural language and planning can also be expected.

Artificial Intelligence is an ally when it comes to increasing its effectiveness when acquiring new talent. This happens because it allows automating the association process between the skills that a job may require the determined skills of a candidate. Even so that “in the end, it is humans who make the decisions.”

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This Is How Artificial Intelligence Can Help Small Businesses

Tech Splashers — Fri, 31 Jan 2020 15:03:32 +0000

Siri, Apple’s voice assistant, or Netflix movie and series recommendations, adapted to each user, are two good examples of how Artificial Intelligence (AI) is already present in our day to day. Two everyday examples of how this technology can make our lives easier and that are just the tip of the iceberg of how AI is going to completely transform the way people work in all areas of a business.

Emilio Iturmendi, director of SMEs at Microsoft says: “AI is transforming the way in which companies interact with their customers, manage the talent of their employees, enhance their tasks and grow new advanced items and administrations.

In fact, there are numerous studies that show that companies that are betting more decisively on AI are leading their sector of activity and taking advantage of a window of opportunity ahead of their competitors. We are convinced that each company, each process, each product and each employee’s way of working will be redefined in the coming years through the use of Artificial Intelligence. ”

But what exactly do we talk about when we talk about Artificial Intelligence? What utility does it have in business? And, above all, does it make sense to apply AI to small or medium businesses?

This Is What We Talk About When We Talk About AI

“AI is a mixture of advanced analytics and automation that allows replacing or complementing human decisions anticipating the future and using a series of algorithms. In some cases, if they are neural networks, they try to resemble the information processing done by the human brain, but in other cases it is not necessarily so. It is capable of making decisions with a high degree of success. With success rates of 96% when a human being hits 60%.

Intelligence that can replace and improve people’s decisions. “AI is any program that gets a computer to do something that a human did previously. And it can be applied to any process or department in any company. You can say, we will apply AI to the Human Resources area, we will apply AI to the commercial area to any area. And within that you can apply it to any area, in Human Resources you can use it for the selection processes of the candidates, for training. Their possibilities are practically endless, ”says Macarena Estévez , consulting partner at Deloitte.

SME’s Intelligence

Although it is the big companies that are betting more on this technology, in a few years it will be present in companies of all sizes. In fact, they are already used by small businesses such as shops or restaurants. A voice assistant that serves customers is AI. As are the software’s that help to know customers better to offer them personalized offers.

“When deciding if it is worth applying to our business, rather than looking at the volume of customers we have, we must think if we have things that are constantly repeated. In that case, it makes perfect sense. We have done very small things for call centers . For example, support for ten agents. The question is what is the potential impact of automating our processes. If 40% of the calls I receive are always about the same things, then there I can be saving very significant costs by automating that task. It is not so much a matter of number of customers as of how automatize and what volume of interactions we are receiving, ”says José Gómez , CEO of Sentimer.

where you have information that you can have available in real time, which means speed in decision making, at a level that a human being does not reach.”

How Do I Adapt It To My Business?

It should also be remembered that “AI has different levels. You have very simple AI, which programs a machine to do one thing and always do the same thing to you. You receive some data, you make some calculations and you give me the result. And then you have very complex AI and that is where the world is going, which is an intelligence that really resembles human intelligence and does not require much programming, but that the machine itself is able to learn by itself, ”says Macarena Estevez

When adopting it, “I would recommend that the company set a business objective. What do you want to get? Get more profitability to customers, more satisfaction, more sales, reduce stock, reduce costs … We must start with an objective and from there analyze what is the most appropriate technology. Without forgetting that all this requires data, the company must have data obtained automatically. Because in the end, all these algorithms learn based on data and that data must be stored somewhere and be accessible, ”warns Enrique Serrano.

In the market you will find tools that require a small adaptation and much more complex ones. Google, for example, “has its own technologies and alliances with third parties that touch many areas related to Machine Learning and Artificial Intelligence. From image recognition (Google Cloud Vision API), an engine to build virtual agents or chat bots (DialogFlow) or recommendation engines that allow you to use this technology quickly. Additionally, the Google Cloud business model, which is based on a payment per use, makes the access barrier to any of these technologies very low, democratizing the use of AI, whether for large companies, which have many economic and human resources, and SMEs, which are much more limited, but want to remain competitive, ”he explains Javier Martínez , head of the Google Cloud presale team in Spain and Portugal.

Microsoft also has tools adapted to SMEs, such as Microsoft Dynamics 365, which analyzes large volumes of data to predict peaks of demand and new trends to provide greater knowledge to the business or cognitive services of Microsoft Azure, which make available to any company the necessary resources to be able to create its own chatbots with which to deploy new services and interact with its employees or customers in a much more agile and effective way ”,

We talk about tools that can be hired as SaaS, “with a monthly cost of 25 euros per month if it is to automate restaurant reservations by chat that may require an adaptation to the business itself with a cost of between 4,000 and 8,000 euros, development, plus a monthly license cost per operator

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What Is Artificial Intelligence? And What Is It For?

Tech Splashers — Sat, 25 Jan 2020 17:57:34 +0000

Artificial intelligence is the series of technologies that serve to emulate characteristics or capabilities unique to the human intellect. The latest technological creations lead us to reflect where the world is going. In fact, from a time to the present, the technical-scientific discipline has been posing a great world revolution: artificial intelligence (AI) .

While there is no exact definition of what it means, artificial intelligence is the name assigned to a series of technologies with characteristics or capabilities that were previously exclusive to human intellect. The term applies when a machine mimics the cognitive functions that humans associate with other human minds, such as learning or solving problems, etc.

What Is Artificial Intelligence? History And Origin

In 1956, scientists Allen Newell , Herbert Simon , Marvin Minsky , Arthur Samuel and John McCarthy met at the Dartmouth conference at a meeting that marked the creation of the discipline of artificial intelligence . They agreed that giving machines the ability to think would be easy.

Now, if we go back to the Greeks, the basic ideas about artificial intelligence take us to Aristotle, who was the first to describe a set of rules that detail a part of the functioning of the mind to obtain rational conclusions. Some time later, Ctesibio of Alexandria came to build the first self-controlled machine in a rational way, but without reasoning.

In the late 1950s and early 1960s, artificial intelligence lived one of the best ages, since machines managed to play checkers better than many human beings, “learned” English and solved algebraic and logical problems.

Subsequently, between 1968-1970, the Professor of Computer Science at Stanford University Terry Winograd, developed the SHRDLU system, which allowed to interrogate and give orders to a robot that moved within a world of blocks.

Already in the new century and after important technological advances, the multinational IBM developed a supercomputer called Watson, which won three times the game of Jeopardy (television knowledge contest) to two of its top champions.

At present, artificial intelligence has not only revolutionized the business world, but also the social field, with applications ranging from rapid cancer detection to the fight against Amazon deforestation.

What Are The Categories Of Artificial Intelligence?

Stuart Russell and Peter Norvig, in their book ‘Artificial Intelligence: A Modern Approach’, differentiate four types of artificial intelligence.

Systems that think like humans: they are the systems that try to emulate human thought as decision making, problem solving and learning.
Systems that act like humans: they try to act like humans. That is, they mimic human behavior. An example of this system is robotics.
Systems that think rationally: try to imitate the rational logical thinking of the human being; for example the study of the calculations that make it possible to perceive, reason and act.
Systems that act rationally: this system tries to emulate human behavior in a rational way. It is related to intelligent behaviors in artifacts.

What Is Conventional And Computational Artificial Intelligence?

The conventional artificial intelligence , known as symbolic AI-deductive, is based on the formal and statistical analysis of human behavior to different problems. It helps to make decisions while solving certain specific problems and require a good functioning.

It facilitates complex decision making and proposing a solution to a certain problem. This intelligence also contains autonomy and can be self-regulated and controlled to improve.

Meanwhile, computational artificial intelligence, known as subsymbolic-inductive AI, implies interactive development or learning. This learning is done based on empirical data.

How Does Artificial Intelligence Work?

Artificial intelligence develops from algorithms. They are mathematical learning abilities, and of the data that are needed to train these algorithms, these are observable, publicly available data or data generated in some companies, the same ones that repeat the process to learn from them.

What Is Artificial IIntelligence For? Field And Real-World Applications

Artificial intelligence has been used in a wide number of fields such as robotics, language comprehension and translation, word learning, etc.

The main and most prominent fields where we can find a noticeable evolution of artificial intelligence are:

Computer science
Finance
Hospitals and medicine
Heavy industry
Customer service
Transportation
Games

What Are The Risks That Artificial Intelligence Entails?

Although in some aspects of life the presence of artificial intelligence has many benefits, some experts believe that it can generate new risks.

The finance market is the most vulnerable, as the ability to process huge amounts of data by computers can empower those who control them and this can allow them to dominate finance internationally.

The lack of global regulation is another problem.

But perhaps the risk that worries the most and can generate many problems is the loss of jobs. A study published in 2015 in China reported that almost 50% of current occupations will be completely redundant in 2025 if artificial intelligence continues to transform companies in the way it is already doing.

Given this, experts have begun to visualize in each of the uses of artificial intelligence what the limits are or how they should be addressed to ensure that the protection of the human being is maintained.

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