Five Big Data Trends that will shape AI through 2018
Big Data is moving to a new stage of maturity that promises great business impact and industry disruption over the course of the coming decade. As Big Data capabilities mature, organizations are now combining the agility of Big Data processes with the scale of Artificial Intelligence (AI) to accelerate the business value and returns. The convergence of Big Data with AI has emerged as the single most important development that is shaping the future of how business extract value from their data and analytics capabilities. The availability of greater volumes and sources of data is enabling capabilities in AI and machine learning. Digital capabilities have moved data from batch to real-time, on-line, always-available access. Artificial Intelligence (AI) remained the driving force of various industries in 2017. With so many tech giants and startups already exploring the AI ecosystem, it is expected to grow with better use cases in the year 2018. Considering the acceptance, development, and applications of AI, here we are with significant opportunities and perils that this ingenious technology will put forth in 2018:AI integration with Mobile and Web Apps
Over the next few years every app, application and service will incorporate AI at some level. Artificial Intelligence (AI) is anticipated to be at the heart of many web and mobile applications. This inventive technology would be the battlefront for most of the software and services industry. AI in the form of machine learning, deep learning, computer vision etc. enables developers to build intelligent apps. Some of the examples that exhibits and justify AI integration of apps includes, smart recommendations, smart search, fraud detection, healthcare and fitness management etc. In the following year, we could see expansion in use cases and result in productive intelligent apps.
AI will Impact the Workforce
Amongst the various perils of Artificial Intelligence, its impact on human jobs is the most debatable one. There has been a speculation ever since that AI can replace human jobs. However, if the applications of AI are perceived well, this ingenious technology
will augment the human jobs, instead of replacing it. And to be precise, the impact of AI on human workforce will be dependent upon the type of job. Eventually, there will be a rise in demand for data related jobs requiring upskilling to enable the AI-human partnership.
AI in the cloud
Other than text, image, and video analytics, the most cogent need for unstructured data analysis exists in the Internet of Things. The incessant streaming data from IoT can readily supply the quantities required to hone models for advanced machine learning.Forrester predicts that more and more enterprises will adopt and embrace a public-cloud-first policy in 2018 for big data, analytics, and Artificial Intelligence (AI) as they look for more control over costs and more flexibility than on-premises software can deliver.Cloud implementations are increasing in popularity as it cuts down the entry cost for these technologies, besides giving the advantage of hosting all the data on a single instance.
There will be a Surge in Chatbots
Human assistants are now things of the past. It’s the era of machines and bits, making our lives easier. Bots are not just facilitating individuals to get anytime support but also helping businesses in augmenting their customer support and automating business tasks.Considering the acceptance and popularity of these communication channels, quite a few tech giants like Facebook, Google, Apple and Amazon are trying to bring in chatbots to interact with customers. According to IBM, 65 percent of Generation Y prefers interacting to bots. This pushes us to realize that conversational bots will become the heroes in customer service industry in coming times.
Cognitive Technologies and Machine Learning
The learning capabilities of machines are growing at a large scale, and connecting people, processes and products in new and exciting ways. Machine learning algorithms learn from huge amounts of structured and unstructured data like text, images, video, voice, body language, and facial expressions. This opens a new dimension for machines with limitless applications from healthcare systems to video games and self-driving cars. Today, machine learning is transforming online businesses and being used by organizations for a myriad of things like fraud detection, real-time ads, pattern recognition, speech analysis and spam-filtering. But in 2018, machine learning is said to become faster and smarter than ever before, while also making better predictions for the future. Now machine learning seems to offer a solution for demand forecasting and dealing with demand variations.
AI has caused disruption in almost every industry and with this massive technology growing steadily, the following year could see some better use cases and innovations. AI applications will also experience a consequential rise, the effects of AI will drip down across industries, businesses and processes. We can expect to see many advances like emotion recognition, virtual reality,self - service platforms, conversational interfaces enabling the change in how businesses are done.
The incessant streaming data from IoT can readily supply the quantities required to hone models for advanced machine learning
AI in the cloud
Other than text, image, and video analytics, the most cogent need for unstructured data analysis exists in the Internet of Things. The incessant streaming data from IoT can readily supply the quantities required to hone models for advanced machine learning.Forrester predicts that more and more enterprises will adopt and embrace a public-cloud-first policy in 2018 for big data, analytics, and Artificial Intelligence (AI) as they look for more control over costs and more flexibility than on-premises software can deliver.Cloud implementations are increasing in popularity as it cuts down the entry cost for these technologies, besides giving the advantage of hosting all the data on a single instance.
There will be a Surge in Chatbots
Human assistants are now things of the past. It’s the era of machines and bits, making our lives easier. Bots are not just facilitating individuals to get anytime support but also helping businesses in augmenting their customer support and automating business tasks.Considering the acceptance and popularity of these communication channels, quite a few tech giants like Facebook, Google, Apple and Amazon are trying to bring in chatbots to interact with customers. According to IBM, 65 percent of Generation Y prefers interacting to bots. This pushes us to realize that conversational bots will become the heroes in customer service industry in coming times.
Cognitive Technologies and Machine Learning
The learning capabilities of machines are growing at a large scale, and connecting people, processes and products in new and exciting ways. Machine learning algorithms learn from huge amounts of structured and unstructured data like text, images, video, voice, body language, and facial expressions. This opens a new dimension for machines with limitless applications from healthcare systems to video games and self-driving cars. Today, machine learning is transforming online businesses and being used by organizations for a myriad of things like fraud detection, real-time ads, pattern recognition, speech analysis and spam-filtering. But in 2018, machine learning is said to become faster and smarter than ever before, while also making better predictions for the future. Now machine learning seems to offer a solution for demand forecasting and dealing with demand variations.
AI has caused disruption in almost every industry and with this massive technology growing steadily, the following year could see some better use cases and innovations. AI applications will also experience a consequential rise, the effects of AI will drip down across industries, businesses and processes. We can expect to see many advances like emotion recognition, virtual reality,self - service platforms, conversational interfaces enabling the change in how businesses are done.
