One of the most talked about questions on Quora in 2017 was – Why did Facebook shut down its own AI after its Bot invented its own language? While most of the online articles you will find today on this topic are misleading; the real reason is a far cry from what has been rumored so far.
Facebook had never shut down its Chatbot only because it started inventing its own language imposing threat that it would get out of control. In this post, we are offering our readers a more realistic report of all that you wanted to know about Facebook’s AI experiment and why it was shut down.
For those who are still clueless what this post is all about and what had gone wrong with FB, last month the Internet was abuzz with reports published everywhere about FB shutting down one of its artificial intelligence programs after it allegedly invented its own language. As the old adage goes – “media is an organized gossip“, the media wrongly publicized the story and blew it way out of proportion.
Unfurling of Facebook’s AI Controversy
While one page mentioned, “Facebook engineers panic, pull the plug on AI after bots develop their own language,” another site published, “Facebook shuts down AI after it invents its own creepy language.” And another asked, “Did we humans just create Frankenstein?” asked yet another. As if social media’s scuttlebutt was not enough, a famous British tabloid quoted the incident as “the dangers of deferring to artificial intelligence and could be lethal if the similar tech was injected into military robots.”
As per the reports, one of the Facebook’s AI research program took an unexpected turn, especially when their bots named Bob and Alice got involved in an independent conversation and were seen negotiating when something weird unfurled.
The conversation of Facebook’s AI went like this –
Bob began by saying: “I can I I everything else.”
Alice replied: “Balls have zero to me to me to me…”
Bob then reacted: “I I can I I I everything else.”
Alice responded: “Balls have a ball to me to me to me to me to me to.”
Initially, the AI experts at Facebook couldn’t understand what this claptrap was all about. However, after a thorough investigation, they could make out that the AI bots were supposedly communicating in a language which they had invented altogether.
The Bob’s statement – “I can I I everything else” actually meant – ‘I’ll have three and you have everything else’. Subsequent to this self-ruling development in their artificial intelligence research program, Facebook shut down the entire Chatbot program.
When Elon Musk attacked Mark
While Facebook’s experts were busy figuring out what actually had gone wrong, the news had already spread like wildfire. And more fuel was added to the story, when global tech leaders like Elon Musk, Founder of Tesla started criticizing Facebook’s CEO Mark Zuckerberg openly. Elon went on to tweet this –
Immediately after Elon Musk’s Tweet, the social media at large postulated that Facebook shut down its AI the program down after realizing the vulnerability of AI.
The real reason why Facebook shut down its AI
However, some experts have recently rubbished those rumors such reports and argued that the bots of FB’s AI had never actually invented any new language. Moreover, the neural networks had simply modified the human language, with an intention of making the interaction more efficient. In their pursuit of knowledge transfer, the bots began conversing back and forth in a derived shorthand manner, which looked creepy to us.
The report now has made it clear that it was due to the error from the programmers’ end, that couldn’t train the bots to communicate, following the rules of English language. Subsequently, in a bid to learn from each other, the bots figured out an efficient way to communicate by deriving a shorthand.
Facebook did shut down its AI research program, not because the bots went rogue, but because Facebook lost interest in the research and has put this project on hold.
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Written by ampcusblog, March 27th, 2018 | Comments Off on Real Reason Why Facebook Shut Down its AI: Not Because Bots Went Astray
Big data refers to the enormous amount of data that engulfs business operations on daily basis. The amount of data isn’t important, but how enterprises manage these large volumes of data matters. Big Data is gathered, organized, and then analyzed for insights, thereby helping organizations make better business decisions.
Before going through this post on big data and Internet of Things in detail, let’s have a quick and interesting questionnaire session. Go through every statement mentioned below and determine if the statement is referring to big data or the IoT –
Every minute, 204 million emails are generated followed by 1.8 million Facebook likes, 2,78000 tweets, and uploading of 2,00000 photos to Facebook. Answer – Big Data
In 2011, 12 million RFID tags which were used to capture data and track shipping. It is predicted that by 2021, this number will increase to whopping 209 billion. Answer – Internet of Things
By 2020, the number of devices that connect to the Internet will rise from 13 billion to whopping 50 billion. Answer – Internet of Things
The value of the global IT industry in 2013 was $10.2 billion and by the end of 2017, it grew up to $54.3 billion. Answer – Big data
The above Q&A brings us to the point of this post: Big Data and the Internet of Things – Two sides of the same coin. So, are these both related? Let’s get into this in detail.
Big Data comes with enormous potentiality and below are its top advantages –
It saves a considerable amount of time
It is fabulously cost effective
It renders short product cycles
It enables vigorous new product development
What is an Internet of Things?
The concept behind the Internet of Things is to mainly connect any kind of electrical device with an on and off switch that gives access to the Internet. These devices could be anything including cell phones, earphones, bracelets, coffee makers, washing machines, lamps and also components of machines such as a jet engine of an airplane or even the drill of an oil rig. IoT is now booming and in future, it’s going to be a household name. Business processes are now carried out more efficiently through connected devices and network sensors.
Big Data and Internet of Things
Ever since big data has been used in the Internet of Things, many enterprises are now finding it easy and important in implementing IoT in their business processes. It is only because of the Big Data that the Internet of Things is used at such ease. Big analytics performs is at its full potential when it is used for IoT.
How IoT and Big Data boost each other?
These days, the advanced devices connect with each other through embedded sensors. The intelligent devices use data to broadcast, assemble, analyze and forecast accordingly, thus leading enterprises to make strategic business decisions. Because of the IoT network, all the business devices can have their own IP address. And when millions of devices dealing with mammoth-sized data are involved, security becomes a challenge.
In such cases, it becomes necessary for Big Data to empower IoT in a positive way. In order to make IoT and Big Data two sides of the same coin, they need to work in empowering each other. Enterprises like Ampcus, who implement data analysis and processing in their Internet of Things, have already renovated their data storage facilities in a broad manner. Such companies have opted for cloud storage solutions to manage the abundant load of heterogeneous data. This has further persuaded them to invest in cloud-based solutions such as Platform-as-a-Service model.
IoT devices use connectivity options such as Wi-Fi and Bluetooth and well-defined protocols like Message Queue Telemetry Transport to transmit messages. Most of the organizations, such as Ampcus, have also started integrating the best technology platforms to manage the influx of heavily loaded data. A perfect example is given by Ampcus in using various technology platforms such as –
Hadoop solutions
IBM SmartCloud
Cognos
Business Objects
Tableau
Informatica
Qlik
Big Data and IoT work together to handle Security
When heavily loaded data is used, security becomes a major concern. Enterprises should integrate advanced security measures so that IoT and Big data can actually boost each other, and the end user is ultimately benefitted. Since its integration into IoT is fairly new, the ally becomes vulnerable to breaching of data along with the IoT devices. Companies should ensure making significant changes to their security infrastructure to protect the influx of huge data and the growing number of IoT devices. Network segmentation and advanced security systems should be installed in IoT devices to prevent cyber-attacks.
The final verdict
Both IoT and Big Data are not just two sides of the same coin, but they empower each other. There is no IoT without Big Data, and Big Data can only make use of its potentiality when it is integrated into IoT. Want to know how IoT and Big Data can dramatically transform your business? We are here to help!
Happy Reading!
Written by ampcusblog, March 26th, 2018 | Comments Off on How IoT has Boosted Big Data in Recent Years
The world is already in the threshold of a digital insurgency. Over the next 10 years, artificial intelligence will monumentally alter the far-flung swathes of our lifestyle. The global industry is already prepped for this revolutionary change by AI, especially in three core areas – human resources sector, productivity, and customer experiences. Taking this opportunity, we have come up with an exclusive post on 10 artificial intelligence questions every business leader must ask. Before plunging into those 10 key questions let’s have a quick sneak peek into what AI is and why it matters so much.
“Imagination is more important than knowledge. For knowledge is limited, whereas imagination embraces the entire world, stimulating progress, giving birth to evolution.” ~ Albert Einstein
What is Artificial Intelligence?
Artificial intelligence (AI) enables the machines to develop intelligence and learn from experience, get adapted to new inputs and are capable of performing human-like tasks. The most common examples of AI in use today include the chess-playing computer, self-driving cars, neural networks from the likes of Google’s DeepMind, Siri, Alexa, Texla etc. and these all are designed to depend heavily on smart learning and natural language processing. By integrating AI, computers can be trained to accomplish extensive tasks which involve mammoth-sized data, whilst identifying patterns in the data.
The Artificial Intelligence Wake-up Call – 8 key AI questions every CEO must ask
Almost every IT enterprise and media have laid their eyes upon the potential aspects of AI in terms of speech recognition, learning, planning, and problem-solving skills. And it is time the business leaders paid attention. However, before adopting this amazing breakthrough, here are 8 key questions business leaders should be asking as they assess this opportunity and invest in AI’s life-changing potential.
What is this AI craze all about?
Whether it’s AI, blockchain technology or Internet of Things – every new technology entices business leaders to adopt it and enhance their business grades. Artificial intelligence has the efficiency in combining its epidemic performance skills with any machine and platform including computer hardware, big data, the blockchain, the IoT and also deep learning, data mining, neural networks, cognitive computing, and robotics.
AI can be used to its true potential for transpiring businesses and enable the CEOs to become better decision makers. Business leaders should invest time and their interest in understanding the vast opportunities artificial intelligence beholds, and the areas it can be implemented.
How is AI going to disrupt your industry?
As per the predictions made by the Bank of America, by 2025 AI will amount to $33 trillion. However, at present, the impact of artificial intelligence on businesses is scantily distributed across the globe. Even though it’s already making potential changes in the field of logistics, technology, retail, education and automobiles, less instinctual industries are also ripe for the interruption.
PAs will be replaced by conversationally-driven AI assistants
Devices will run individually
AI will be commonplace in the industry
AI is going to revolutionize the medical world
As AI technology evolves with the years, we need to wait and watch how the world adapts accordingly.
How will AI affect HR and how employees can be trained accordingly?
AI is certainly going to enhance the work performance and quality of the jobs. However, a recent survey in the US suggested that 47% of workers fear to lose their jobs with the advent of the AI-enabled automation. The business leaders should be adopting this theory in a more positive way and the implementation process should be transparent and research-based.
How will AI impact on the customer experience?
While almost every organization might have faced the similar issue of running out of resources and products, AI is here to empower the customer experience. With the onset of newest features and technology, customers’ expectations are also rising dramatically. People are able to shop and make transactions with just a few clicks from their laptops and cell phones.
With the increasing demand for personalized shopping experience, artificial intelligence in retail offers advanced consumer-focused solutions such as personal shopping guidance and kiosks. In a bid to satisfy their customers, enterprises are now looking forward to integrating AI applications such as Natural Language Processing, Strong AI, Inductive Reasoning etc. With the help of AI, companies can deliver tailor-made experiences and reduce the burden on sales associates due to exhaustive tasks.
How fast is AI moving?
Image Source: flickr.com
The AI wave is spreading actively and almost every enthusiastic CEO is keen on having a taste of it. Artificial intelligence is rapidly developing and is already starting to change the world, at a pace that is worrying to some experts. World tech leaders like Elon Musk predicts AI will reign supreme and that it is already advancing like a “Tidal Wave”. Musk had this to say,
“It’s difficult to appreciate just how far A.I. has advanced and how far it is advancing because we have a double exponential at work. We have an exponential increase in hardware capabilities and we have an exponential increase in software talent that’s going into A.I.”
What will be AI’s impact on company’s success?
AI’s impact on success will be as such that in the future, it will be difficult to distinguish whether work is done by automation, AI or humans. With the integration of AI, companies can have increased productivity and achieve goals within a shorter time span. Entities, who have enabled AI in their business processes are six times more likely to have higher revenue growth.
How will AI impact on society?
Image Source: flickr.com
While there is a growing concern that AI will hugely affect the workforce (thanks to Stephen Hawking’s comment on artificial intelligence), here are some astounding benefits society can have from AI in future –
The AI-induced education system will define the future of academics and students
Improved personal hypothesis systems will create an entirely new artificial life form
Intelligent Internet of Things will be more prominent
Quantum computing extensions will be commonplace in future
Artificial Intelligence will be vulnerable
So those were some key questions every business leader should ask for better understanding of artificial intelligence. We put forth a few pertinent questions for our esteemed readers –>
Is your business integrated yet? What impact is AI having on your business grade?
Where do you see AI in the next 5 years?
How do you see artificial intelligence impacting workforce, human resources, and business activity?
Happy Reading!
Written by ampcusblog, March 19th, 2018 | Comments Off on 8 Artificial Intelligence Questions Every Business Leader Must Ask
From past few years, a revolution in the field of connectivity has been booming around us, especially in the Internet of Things. Data management has been in practice for two decades now. It had remained relatively dormant ever since its inception until the dawn of the Internet of Things (IoT). The face of the industry is now vigorously changing with almost every business getting transpired by the IoT.
While in the 90’s, the Internet was able to connect around 1 billion users through those precarious dial-up networks, with the onset of mobile phones in the 2000s, around 2 billion users got connected with several other advantages.
Image source: www.zdnet.com
At present, the wave of the Internet of Things has managed to connect whopping 28 billion devices, which is 10 times higher than earlier connectivity phases. By 2020, one can access the Internet from anywhere and can transform any medium right from cars to bracelets into connective devices. With 2.5 billion smartphone users presently, and predicting 5 billion users by 2019, we’re looking towards an outpour of new data in the next few years.
This vigorous growth of IoT is changing data management significantly. As industry experts attempt to curb in big data management, they’re using a blend of workflow strategies, AI and IoT platforms and different hardware configurations.
Assembling & Integrating Big Data
Big data isn’t that easy to be processed and organized, it is, in fact, a strenuous task that to be carried out. Unlike uniform data sets that are easily explained and infused into spreadsheets, big data drag information from unlimited sources. The big data use quite complex methods of data collection including automated reports, sensors, and trend analysis to name a few. And with such a vast source of information streaming in from different avenues, the big data professionals are forced to invest in more time.
Taking into consideration this enormous amount of data storage, organizations have begun to move towards the Internet of Things-enabled Platform-as-a-Service model and avail a cloud-based solution from IoT experts such as Ampcus, as opposed to managing their age-old data storage framework. Unlike, in-house workflow systems which demand updation at regular intervals because of the overloading of the data, Ampcus provides an end-to-end big data solution that includes scalability, compliance, and a tailor-made framework rendering space for all valuable IoT data.
Choosing the right infrastructure for IoT data
Today various data storage architectures are available to manage mammoth-sized data. While some enterprises use New Technology File System, there are still some companies who follow the traditional methods such as the File Allocation Table architecture. Even after using the traditional and modern technologies alike, the enterprises have failed to maintain their own compound servers and hardware at times. This is the situation where the Internet of Things come into play. They are efficient enough in capturing and manage those servers along-with the mammoth-sized data in real-time. They also create intuitive data models and automate decision-making jobs.
They are efficient enough in capturing and manage those servers along-with the mammoth-sized data in real-time. They also create intuitive data models and automate decision-making jobs. These advanced Internet-of-Things-enabled file frameworks and OS witness a paradigm shift in the way techies approach the field of data management.
Happy Reading!
Written by ampcusblog, March 19th, 2018 | Comments Off on How Growth of Internet of Things is Changing Data Management
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