5 Changes Expected in the Tech Companies in the Next 20 Years and Beyond

5 Changes Expected in the Tech Companies in the Next 20 Years and Beyond

In the future, the business landscape will change beyond recognition. Advances in technology will be the primary drivers of this shift. Over the recent past, trends such as social networking have rocked the business landscape. Other tech trends such as speech recognition developed slower than expected. There is no doubt that technology will continue to transform the business landscape. Here are some of the technological advances to expect in the next 20 years and beyond.

The emergence of Alternative Currencies

Money is arguably the main reason for starting a business. Over time, alternative currencies such as cryptocurrency have begun to stabilize. Bitcoin is one of the crypto-currencies that have begun to rise in popularity. However, there are dozens of other alternative currencies that could substitute the dollar. The dollar might even not exist by 2030. As a result, the world of business will change beyond recognition. There might be a significant rise in traded goods and change in currencies and pricing models. The increase in the popularity of bitcoin will cause vendors to sell their products at a high premium. Crypto-currencies are expected to bring a remarkable change in business markets.

Development of Transhumans

Far-fetched as it may seem, transhumanism will change the business ...


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How Machine Learning is Revolutionizing Cybersecurity

How Machine Learning is Revolutionizing Cybersecurity

Computers are not only becoming more powerful, but they're also becoming smarter, which is to say they’re becoming more capable of performing tasks that only humans have been able to do. The type of computing that emulates human-like intelligence is called artificial intelligence, or AI, and one of the most powerful developments in AI is machine learning.

The power of machine learning stems from its ability to enable computer programs to improve themselves by learning through experience. It is the breakthrough that has enabled cutting-edge developments such as self-driving cars. It is also the technology behind virtual personal assistants, such as Siri and Alexa, that understand and communicate with natural language.

By emulating the learning style of humans, machine learning software is able to perform many useful functions when it’s applied to large amounts of data. Consequently, this technology is presently having a big impact on many different industries, not the least of which is cybersecurity.

Why is machine learning such a powerful tool?

Machine learning is particularly useful in various applications of data analysis. It learns from data, identifies patterns, automates model building, and makes decisions, and it does all these things with little or no human intervention.

Machine learning algorithms can apply complex ...


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Where Moore’s Law Is Headed with Big Data

Where Moore’s Law Is Headed with Big Data

When measuring and testing computer applications, scientists and engineers collect huge amounts of data every second of the day. For instance, the world’s largest particle holder collider known as Large Hadron Collider generates approximately 40 terabytes of data per second. The jet engine of a Boeing creates approximately ten terabytes of data every thirty minutes. When a Jumbo jet takes a trip across the Atlantic ocean, the four engines on the jet can produce approximately 640 terabytes of data. If you multiply that kind of data with an average of 2,500 daily flights, the amount of data produced per day is staggering; this is what is called Big Data.

It is a difficult task to draw conclusions and get actionable data from the large sums of data, and Big Data encompasses this issue. Big data has brought about new ways of processing data; we have deep data analysis tools, data integration tools, search tools, reporting tools and maintenance tools that help in processes big data to derive value from it.

The International Data Corporation (IDC) performed a study in which music, video files, and other data files were analyzed. The study indicated that the amount of data being produced by systems is ...


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How Big Data will Influence the Future of Business

How Big Data will Influence the Future of Business

For centuries now, the foundation of the commercial business enterprise is accessibility to data and information. The new world of business generates colossal amounts of data where technology has devised numerous ways through which business enterprises can harness the data. However, this new world order has bumped up against two significant regulation and public policy areas including job opportunities and career development. Big data technology and associated algorithms have presented a considerable challenge to white collar jobs and what the employees should be briefed about regarding business operations in the 21st century. However, big data is set to bring huge benefits to our society such as the creation of numerous job opportunities.

In the most basic terms, big data technology is the sum up of all the tools and processes that are related to the utilization and management of colossal data sets. The concept of data was conceived out of the necessity to understand patterns, tastes, preferences, and trends created when persons interact with each other and with systems that have been put in place by business enterprises. Companies can use up big data analytics provided by Google BigQuery to figure out their most valuable consumer's big data technology can also ...


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How Small Business Owners can Exploit Big Data Analytics

How Small Business Owners can Exploit Big Data Analytics

Big data previous has been utilised by big businesses with much success that has necessitated the small businesses to embrace big data. Big data has become an essential part of businesses and it has been integrated with other factors of production such as hard assets and human capital. Big data comprises of large pools of data, especially concerning the market and consumers. Business owners use this data to carry out analysis of the market and come up with better decisions. Most small business owners tend to pay little attention to big data analytics as a resource. However, there has been an increasing interest in a small business to utilise big data as a resource in building their business models.

How Small Businesses Could Use Big Data Solutions for Their Businesses

Big data is a resource for small businesses to exploit. Every small business owner can expect to benefit from big data analytics in the following ways:

• Helps in making sales funnels that are more efficient. A Sales funnel comprises of the various buying processes that customers are subjected to by a particular company. Efficient sales funnels for small businesses are important since you can use them to direct more visitors to your ...


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Just How Big Can Big Data Get?

Just How Big Can Big Data Get?

At the most significant point of its history, the Ancient Library of Alexandria may have held 500,000 papyrus scrolls, thereby making it a collection of information on par with the data that makes up today's "visible web."

This magnificent library suffered a series of fires until its final and complete destruction around 642 AD; at that time, the loss of all those scrolls was as catastrophic as wiping out half of all the servers connected to the internet these days.

It is nearly impossible to imagine how much larger the Library of Alexandria could have grown had it been spared from destruction. Certainly, at some point it would have required physical expansion as well as cataloguing and archiving systems to hold and manage millions of scrolls; t a great extent, this is one of the challenges faced by information technology experts these days as they tackle the issue of Big Data and its constant expansion.

When Big Data Gets Too Big and Cumbersome

With the monumental growth and development that Big Data has experienced in the 21st century, we probably have all the information we need in the enterprise world; even if we consider that more data is needed for future applications, we certainly ...


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Why I Worry About Semi-Autonomous Cars

Why I Worry About Semi-Autonomous Cars

The technological background

The invention of the self-driven cars is marked as one of the extraordinary steps that have been made in technology. With this technology installed into our cars, it creates concerns over whether one should proceed to teach themselves some driving skills in case one was a novice at the skill. The technology behind self-driven cars is sophisticated and ordinary minds cannot grasp the idea behind this type of revolution. In a nutshell, the semi-autonomous vehicle technology serves to ensure safety by doing all the driving for you. In a scenario where the weather is much cloudy, and the road is not visible, then the self-driven cars come in hand with their senses and their robotic driving capabilities. Notably, the semi-autonomous can outshine the human driver and drive miles without bumping into a vehicle or driving into the wrong lane.

The smartness that the self-driven cars present the users is beyond our thinking. It is clear that computers are here to make things easy for us while making us lazy. For instance, can you imagine yourself getting into a car each morning, then the car drives off from the parking area by itself and heads to the highway by itself! ...


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8 Ways How Big Data Changes Marketing

8 Ways How Big Data Changes Marketing

Today's most successful companies and businesses depend on big data and analyse it to increase the quality of their customer experience. The information stored in the cloud, bookmarked URLs and new data streaming in every second from all over the world accumulate into what is referred to as big data.

Business intelligence relies entirely on the analysis and interpretation of big data. Although there is always a lot of data at a company's disposal, it takes a special tool to analyze and manipulate it for the company's advantage. Stiff competition in marketing has triggered companies in acquiring the best tools for big data analysis. This is a clear indication that big data analytics plays a great role in marketing.

The roles of big data in marketing include the following:

1. Providing Better Customer Insights

Analysis of big data reveals what consumers prefer at the moment. If the majority of people on a social platform are discussing a certain product, that is the perfect moment and place to pop up the product's Ad. This increases the accuracy of your list of target customers.

2. Personalization

Big data analysis results show your consumer's purchase patterns. As an outgoing marketer, you can take advantage and send them recommendations of ...


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What Happens When a Tesla S Reaches Very High Mileage?

What Happens When a Tesla S Reaches Very High Mileage?

Tesla cars might someday become the premier vehicles on the road. The world always moves forward and electric vehicles most definitely reflect where the car industry is headed. Electric vehicles are not novelties. The cars bring with them a great many positive benefits that traditional gasoline-fueled cars lack. Since electric vehicles are so new, not everyone knows what to expect from the cars. Questions about high-mileage Teslas may not get easy answers. After all, Teslas are quite new so there probably won't be too many models out there with significant mileage. Manufacturers do have an idea how to answer such questions. Among the more intriguing questions to ask is "What happens to a Tesla S once it hits 300,000 miles?"

The Tesloop Car

A company called Tesloop actually did put 300,000 miles on a Tesla Model S. The results were somewhat shocking. The vehicle rarely required any serious maintenance. Overall maintenance costs were only in the $10,000 range. Even at 300,000 miles, the vehicle operates well. A standard car would doubtfully be able to reach mileage that high with the original engine. Combustible engines are not designed to last that long.

Of course, an electric car does not run on a traditional engine. ...


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How MIT Researchers Use Drone Fleets to Track Warehouse Inventory

How MIT Researchers Use Drone Fleets to Track Warehouse Inventory

What should you know about MIT Researchers’ use of Drones?

Many companies are becoming aware of the need to automate warehouse inventory tracking in their businesses. The tracking of warehouse stock inventories is one of the major challenges that every business faces including the best-run enterprises. Reports indicate that business makes losses totaling to more than $45 billion due to losses resulting from lost items. The MIT Researchers seeks to ensure that business can cut down their losses related to lost items through the incorporation of drone technology in tracking inventories. MIT Researchers are optimistic that the use of drone fleets could be the solution for businesses having challenges in tracking their warehouse inventories.

What are the advantages of incorporating drones in tracking warehouse inventories?

It makes the location of stock in the warehouse inventories easy. The drones have the capacity to fly around without any security concern and read the RFID tags on warehouse inventories from a distance with a margin error of about 19 cm according to the report by MIT Researchers. The discoveries by the MIT Researchers indicate that the incorporation of drones in the management of warehouses will make it easy to locate the location of items. The MIT ...


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How Quantum Computers Will Revolutionize Artificial Intelligence and Big Data

How Quantum Computers Will Revolutionize Artificial Intelligence and Big Data

It goes without saying that we are living in a digital age. Technology has drastically changed the way we carry out our day to day activities. Currently, computers produce large volumes of data most of which is fed to open-source streaming platforms such as Apache Kafka, data banks, and social media platforms. Although computers are at the peak of their data processing power, the amount of data keeps growing.

The situation has spawned a race among competing firms to launch a suitable quantum computer, which is more powerful than current computers. This computer will have the ability to process the large volumes of data that we generate every day at a faster rate besides solving increasingly complex problems. The main talking point of this mini digital revolution is how it will influence big data and artificial intelligence.

The Role of Quantum Computers in Artificial Intelligence

Previously, it was possible to key in big data problems to desktop computers. Nonetheless, it is becoming harder to crunch larger volumes of data into computers that we currently use. Quantum computers come with advanced algorithms that cannot fit into the memory of traditional computers. This means that addressing storage capacity challenges that come with big data and ...


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Using Big Data, AI Can Predict the Next Bestseller

Using Big Data, AI Can Predict the Next Bestseller

Less than one-half of one percent of all aspiring authors reach the best-seller list. Publishers receive thousands of manuscripts a year and even the literary titan like T.S. Eliot erred when he rejected the now-famous novel "Animal Farm" by George Orwell.

Now, Two scientists, Jodie Archer and Matthew Jockers claim to have created a new artificial intelligence (AI) algorithm, called the "bestseller-ometer", that uses Big Data to predict the next best-seller with more than 80% accuracy. For a struggling publishing industry where the economic stakes couldn't be higher for selecting the next winning novel, such a quantitative tool may be a windfall.

In their new book, "The Bestseller Code: Anatomy of the Blockbuster Novel," from St. Martin's Press, these researchers from the Stanford Literary Lab, describe how they analyzed over 25,000 novels and determined some 2799 relevant features for training their algorithms to detect bestsellers. Despite excitement by the predictive success of their algorithm, it is not without its critics. Skeptics argue that such a code may not detect truly new ideas and would create a stale "literary painting by numbers".

Literary DNA: Theme and Plotline

Despite criticism, Archer and Jockers work is one of many that are attempting to quantify the humanities. Their ...


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Amazon Moves Further Towards Robot Automation

Amazon Moves Further Towards Robot Automation

Robots are soon to become a large part of the world's workforce. While things don't currently look like a science-fiction television show, that time may come. Right now, the manufacturing and industrial sectors have integrated robotics into their daily operations. In Amazon's warehouse, robots remain a common sight. Unfortunately, the current crop of robotic systems employed by Amazon isn't living up to expectations.

The robots don't seem to be as effective as desired. The company has "robo pickers" integrated into operations and they don't seem to pick things up -- or drop them off -- too well. A lot of disappointment seems to have ensued.

This does not mean, however, Amazon plans on ceasing use of robots in its warehouse. Rather, plans are to work at improving the way the automated system works. Once warehouse robotics are perfected, the obtained benefits can be enormous.

The Unique Warehouse

A successfully automated warehouse could mean wonders for Amazon's productivity. Through automating the product line, packages could be shipped in a far more expedient manner. Costs might be brought down significantly, which passes savings off to the consumer.

Amazon wants to turn its current warehouse into the warehouse of the future. Improving how its robots perform absolutely would assist ...


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5 Limiting Factors for Data-driven Businesses

5 Limiting Factors for Data-driven Businesses

Many companies today claim they are data driven just because they have a central system that stores all their data. Unfortunately, they are not. A company that is truly data-driven must have a system where anyone in the organization who can use data can access it at any time. There are many challenges and difficulties today faced by many companies who want to become data driven. Many of these problems are stated below to help you identify them and find solutions to data issues in your organization.

Data Aggregation Is A Big Challenge

Many companies know that making decisions based on available and accessible data can help improve productivity, and they are willing to adopt it. The problem is, they don't know how to aggregate data from different sources. Gathering data from various sources into a single system can make it easy to access, and users will be able to interact with it as efficiently as possible. Many companies don't know how to use data, and they have to understand why experts are needed to help them find a resourceful means to build a system that delivers results.

Disruptive Innovation Is Hard To Predict

Companies need to be able to understand the impact that ...


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Economy, Environment, Employment: How Driverless Vehicles Might Change Our World

Economy, Environment, Employment: How Driverless Vehicles Might Change Our World

The promise of widespread autonomous vehicles has dominated recent headlines in both the technology and automobile industries, but the idea has been around much longer than that. Public discussions about self-piloting vehicles took place as early as 1939. According to Wired Magazine, GM's exhibit at the World's Fair sparked such discussions. In 2010, thanks to Google, the first truly driverless vehicles hit the road. While the obvious benefits of self-driving cars have been discussed, like fewer accidents and better access to safe transportation, there are some unintended consequences worth discussing. From higher unemployment rates to better insurance options, a driverless future has an incredible potential impact on our lives.

Unemployment in Driving Industries

An increase in driverless vehicles could mean an increase in unemployment. According to U.S. labor statistics from 2014, nearly 2.6 million people are actively employed as truck drivers, taxi and independent service drivers, and public transportation operators. If driverless cars become commonplace, the devastating effect on American employment rates would be catastrophic.

Jobs related to the driving industry could be lost as well, like administrative services, management companies, and parent companies supporting trucking or driving positions will be eliminated or downsized.

Loss of Private Car Ownership

Industries and people learn to adapt. ...


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From Tether to Integrate: Looking at How Smart Cars Connect

From Tether to Integrate: Looking at How Smart Cars Connect

A majority of car manufacturers today have a model of connected car. How these cars communicate with their environment, however, is evolving per manufacturer and with time; first generation BMW smart cars once embedded its own SIM card to power basic connectivity functions like emergency calling, navigation, infotainment apps, and remote vehicular data access; now, like other smart cars on the market, BMW not only runs smartphone devices on its dashboard but also leverages software and hardware companies to provide smart car drivers seamless connectivity services from infotainment to navigation.

Integrated solutions for intelligent cars

Car manufacturers today often mention Apple CarPlay and Android Auto Play to attract customers. Volvo, for example, recently announced that its VNL semi trucks will integrate CarPlay, as did Honda for its 2018 Fit models and Hyundai for its 2018 Sonatas. More specifically, they are referring to a vehicle's ability to run in-dash smartphone apps like iTunes and Google Map; in essence, the connected car's embedded software is programmed to connect to a smartphone's network and applications to provide vehicle-authorized services. For example, drivers might use CarPlay or Autoplay to guide them to the nearest gas station or answer driving-related questions without taking their eyes off the ...


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Big Data Analytics is a Survival Tool for Many Organizations

Big Data Analytics is a Survival Tool for Many Organizations

Today's businesses look at technology to improve their performance. New developments in information technology infrastructures have made available new analytical tools to more and more enterprises. One of them, big data analytics, has turned into a must have capability for any modern business in order to thrive and grow.

Attracting customers and remaining competitive are goals of any business. Having the right information to do it is key. Tools and services are here to collect and analyze the increasing volumes of data that are created from daily business transactions and customer interactions. The Internet has enabled many businesses to have a global reach and to attract more customers who leave a richer variety of data coming at higher speeds than ever before. Smart organizations make use of big data analysis to extract the information that leads to insights that decision makers can use.

What is Big Data and why it's important

The distinguishing factors of Big Data are high volume, high velocity, and high variety, coming from what people have done or said they will do. Data comes from all areas of an enterprise and in the past, most of it was ignored. It's the capacity for dealing with those vast quantities of ...


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Why Big Data Has a Lot to Offer for Small Businesses

Why Big Data Has a Lot to Offer for Small Businesses

Even the smallest businesses and newest startups may be able to benefit from the superior insight and real-time understanding that big data may be able to provide. Data analytics is fast becoming a resource that small businesses can no longer afford to overlook, one that may be used in order to improve customer relations, enhance operational efficiency or to gauge the effectiveness of any operational changes that may be implemented. The means to identify consumer trends and the insight that will allow for superior decisions to be made are never concerns that small-business owners can afford to discount.

Analytics Allow Businesses to Implement a Superior Marketing Strategy

While advertising and promotional efforts are essential for any venture, smaller businesses that may be struggling just to establish themselves may be forced to stake a great deal on their marketing strategy. Big data is a powerful tool, one that has enormous potential when it comes to assessing specific customer demographics or assessing the impact and effectiveness of different marketing efforts. Devising and implementing a promotional strategy able to produce superior results may be a much easier undertaking for businesses that possess the superior insight that only the latest analytics can produce.

Making Changes to ...


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How to Navigate the Ethics of Data Gathering

How to Navigate the Ethics of Data Gathering

Big data has changed how companies do business. With the collection of massive amounts of data, that data can later be analyzed to find actionable intelligence a company can use to sell more products and increase profits. It’s a very powerful tool to have that can help you transform something that was previously going unused into a source of competitive advantage. This is why two-thirds of all companies have chosen to invest in big data analytics.

While collecting and analyzing this data does have strong advantages, you also have to take some care while doing so. As with anything that could conceivably involve the personal data of customers and other private individuals, you have to be aware that there could be ethical concerns relating to how that data is utilized.

Personalized Advertising

One of the most common applications for big data is as a means to personalize advertising. In the past, advertisements were only deployed through mediums like print, radio, TV, billboards and direct mail. With most of these platforms, personalized advertising was impossible. Instead, ads had to target large swaths of consumers with the hope at least some people would be reached that would be interested in purchasing a product.

However, today, with ...


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The Role of Big Data in IoT

The Role of Big Data in IoT

IoT (the Internet of Things) refers to the automated intelligent control and command of connected devices over vast regions via sensors and other computing capabilities. At its core, IoT is a fairly simple concept to grasp. It's all about making out products smarter. IoT is on its path to becoming one the biggest technological revolutions the world has ever seen. By 2020, the amount of revenue generated by IoT technology is expected to be in the figures north of $300 billion, and this is just a tip of the iceberg. One of the most critical components of the IoT process is data. For connected devices to perform commands, data has to be sent to a centralized location — say gateway or the cloud — where it's processed and sent back to the sensors of these devices.

It is, therefore, imperative to have an efficient way of collecting small amounts of data and transmitting this data to the centralized location for processing, and sending it back to the sensors — all in real-time. Taking into account the type, the enormous explosion in numbers and capabilities of these devices and sensors, the size of the data that needs processing can be extremely large ...


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