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Artificial intelligence is an abstract concept, and its meaning varies based on who you ask. Some people believe that a machine is artificially intelligent when it exhibits intelligent behavior that is indistinguishable from humans. However, that definition of AI, while perfectly acceptable, is only one definition for businesses looking to invest in artificial intelligence. Artificial intelligence exists as a range: AI can be very well-defined and specific, such as in a rule-based expert system (RBES), and significantly increasing generality, such as with modern deep neural networks.
Today, completely generalized AI (in other words, indistinguishable from a human) is not yet a reality. However, today's AI can achieve state-of-the-art human-like behaviors in a smaller range of tasks. For example, Google's Tacotron architecture does an incredible job at text-to-speech. It can be combined with other machine learning models like a recurrent neural network transducer to create entire conversations. In a nutshell, that's how most home automation systems work: they convert your voice to text, generate embeddings for your text to classify your intent, use a model like a residual convolutional neural network to extract relevant data from your message, execute the action, and then finally generate a reply which is converted back to speech with yet another set of machine learning models.
Phew! That's a lot of specialized models that are great at specific tasks. Still, together, they can achieve human-like behavior such as a call center/customer service AI. It is generally accepted that a piece of software or hardware exhibits artificial intelligence when it is capable of planning, reasoning and knowledge representation, perception, learning, or dynamic motion/manipulation.
Have no fear, Surya is here! But in all seriousness, the best way to be prepared for AI is to embrace it. There is a lot of hype around AI, but is it warranted?
Nearly a century go, we underwent a revolution by replacing old steam-powered machines with those using electricity. This resulted in dramatic changes across industries: transportation, manufacturing, agriculture, healthcare, etc. Many believe that artificial intelligence is the new electricity that will revolutionize everything from FinTech to healthcare to transportation to food delivery.
So, should you be worried? No! If AI is properly harnessed, it can yield significant improvements in efficiency, speed, and output within your business' various processes. We believe that artificially intelligent systems will deprecate specific general labor-type jobs within the next 5-10 years. Many firms embracing AI, like Amazon, claim that AI systems supplant humans, not replace them, but this isn't true. If one human can do 3-4 humans' worth of work, this is a fundamental change that will affect the entire world. For example, if truck drivers are replaced with self-driving trucks, 3.5 million truck drivers in the U.S. alone will need to migrate to other forms of work.
It is hard to say what effect AI will have on the various tiers of society. Still, one thing is certain: it can potentially disrupt your industry and create key value-adding and cost-saving differentiators for your company. Applications of AI are still actively explored and researched, so the time is now to embrace the future. Contact us today to discuss how AI can apply to your business.
AI is all around us already.
AI assists with:
There is a trove of new AI applications that are already possible today but have yet to be realized and applied across industries. At Surya, we help companies realize the potential of AI — diving into the water and developing new AI, cloud, IoT, and more applications. AI can allow you to process past/current/future data and derive valuable insights and statistics from customer patterns and process flows. AI can be used to understand your users (at scale), helping determine pain points, and optimize customer service interactions. Automating manual labor to a large degree is just a start — and companies are finding innovative ways of achieving this, like Amazon Go (a store without any checkout lines) and Tesla (self-driving cars and trucks).
Worldwide data will grow 61% to 175 zettabytes by 2025 (IDC), and AI can help you process and make sense of all of it. Marketing and sales is one highly active area of AI research and application today. According to Forbes, marketing and sales teams prioritize AI and machine learning more than any other department in enterprises today (40%). Making informed, data-driven business decisions is one of the central highlights of practical AI applications.
The AI use cases like customer service agents ($4.5 billion worldwide), sales process recommendation, and automation ($2.7 billion). Automated threat intelligence and prevention ($2.7 billion) (source: IDC) will see a lot of investment.
AI has such broad applications that it's hard to pinpoint how AI would fit your organization precisely. Consult with us to learn more.