Making Sense of Digital Technology in this mordern era

This is the time when we are working on a series of technical reports and forecasts. Almost all analysts and consulting firms-Gartner, Forrester, IDC, BCG, and system integrators such as Deloitte, Accenture, Boutique, Broadcast, Press Releases, Tweets, “Top 20”, “Top 10” podcasts and other listings. Started announcing. Technology may change the business over the next year.

A few months ago, I began reviewing technologies that generate the most “noise” and analyze how they work in a company’s number of effort.

My intention was in several aspects:

Understand the technology that generates the most digital “noise”. Has references to various media, discusses and reviews on social media, blogs, tweets, LinkedIn groups, etc.
To be able to provide information and education to stakeholders involved in digital transformation (for example, after spending millions on upgrading a data warehouse, another “data lake” needs to be invested) You have a lab and start a pilot AI?)

To survive the irrational vigor of some areas (for example, someone “bitcoin has raised to $ 17,000, so the underlying blockchain technique deserves a pilot” or “AI skills seem to be drastically lacking. So train a small number of people and goes beyond the curve. “
A summary of trends is as follows:

Artificial Intelligence (AI)

Machine learning and intellectual technology – Technical analysts remember the year 2017 was when the business world finally started serious about the disruptive potential of AI.

Apple, Amazon, Facebook, Google and Microsoft’s tech-savvy companies announced huge investments in AI and began to showcase product solutions for consumers and businesses. In 2018, startups, technical service companies, and universities may face shortages of capacity.

Big data

Analyze, aggregate and visualize-create 2.5 trillion bytes of data daily. Over 90% of the current world data has been created in the past two years alone. As big data challenges are understood, innovative applications highlight the potential to gather insights from aggregated sources.

Internet of Things (IoT)

The Internet of Things (IoT) has many possibilities for machine-to-machine communication that allows “smart” devices. The IoT is a collection of technologies and sensors that collect data, machine-to-machine communications, and networks as “gateways”, big data, and analytics, enabling storage, analysis, and review of results.

Innovative ideas range from applications such as wearables, smartphones, smart meters, cars, factories, and machines to other locations where imagination is needed.

Immersive, virtual reality, games

The combination of immersive technology and virtual reality technology raises consumer expectations for video games.

These technologies, enabled by advances in high-performance hardware and computers, are beginning to obscure the confines of the physical, digital, and fake worlds, creating an immersive feel.

Voice recognition and voice UI activation

The adoption of voice recognition and rapid voice activation technology is progressing. Voice-based applications in the corporate world are also making progress.

Propagation of Interactive Voice Response (IVR) in call centers and CRM-based solutions allow computers to interact with people using voice input, and productivity has begun to improve.

Channel block

Bitcoin Technologies-Blockchain technology popularized in the digital currency Bitcoin is increasingly used to enable trust throughout the industry. The underlying blockchain technology is a trust-based protocol enabling a globally distributed secure platform that enables ledgers or databases that can store and exchange value without a powerful intermediary.

Self-driving car technology

Manufacturers, rideshares, and technology companies are researching and developing autonomous vehicles. In 2017, there were also numerous mergers and acquisitions of niche technology companies.

Autonomous machines are at the forefront of investment and development of artificial intelligence, and investments in this area are forward in the area of ‚Äč‚Äčnatural language processing, image recognition, etc., and these technologies will gain commercial momentum. He is.

Robotics and automation

Automation and use of bots, supported by new technologies such as artificial intelligence and machine learning, are advancing rapidly.

Smart cars and “robots” are already being adopted in ways that were unthinkable a few years ago. However, automation and robotics continue to nest their fragmented businesses.

Most large companies and manufacturers consolidate and consolidate services from small niche providers that they innovate with Automatic.

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