Artificial intelligence (AI) is the latest and hottest trend in technology sector now, but methods to tap its fullest potential in terms of business and trade needs to be unveiled yet. Researchers are in constant efforts to take big data to the next level by combining it effectively with AI, which is expected to bring an unbelievable difference in human lives.
The expected potential of AI, for many decades, was only relegated to the too-good-to-be-true sci-fi Hollywood directors as we have seen it in Terminator Blade Runner. Considering Google’s recent takeover of the AI startups like DeepMind shelling out more than $400 million, we need to expect in every possibility that these types of technology integration as we have seen on these movies are not centuries or decades away.
The Market of AI
The market of AI back in 2013 was valued around $900 million, but by now it had grown up to five times than that with the renowned technology giants focusing more on tapping the potential of AI to enhance their business. Another study by a leading market research institute came out with a finding that almost over half of the jobs in the US will be related to AI and machine learning in the coming years.
As per the experts at RemoteDBA.com, here’s a quick overview of some of the significant technological changes we can expect in light of the current pace of development in AI.
Big data and allied technologies
We can see that the big data market is flourishing over the last several years now with its capability to turn businesses around by sharing truly actionable insights. The actual challenge here is the difference between data in hand and understanding it. This gap is what entrepreneurs need to fill with technology, not only to arrange data in a structured way but also to interpret it to deliver accurate business insights. Many inventions are happening in this field combining Big Data with AI as the one developed by Narrative Science, a Chicago based company, which developed a program named Quill which can give the users a story like report in a written form once data is provided.
Robots are out there for long by performing simple tasks in manufacturing and replacing humans in various other tasks, and the efforts to build smarter robots are always going on. There are robots like Baxter which already hit the market, which can be trained like humans and make use of its AI skills to learn and execute tasks. Some companies like Hanson Robotics have made human-like robots which can carry out conversations like a human and also recall their own personal history.
You may be already familiar with Siri. Even though she can do many things based on your voice commands, personal assistants are still far from perfection. There are many ambitious technology firms now investing mainly in building AI-based assistants. Donna is an example, developed by the Incredible Labs, which is a personal assistant who cannot only remind you about the appointment, but also can tell you how to reach to there, when to leave, and even memorize your preferences to give timely personal advice.
Ranging from assisting you personally and understanding your emotions to for personal mentoring to doing wonders in space research, AI is expected to change the face of the world in coming years. Let’s further know about a few challenges in database management, which will help you to better plan, sort, organize, and optimize huge amounts of data and information with AI.
A few significant challenges DB experts face now while dealing with big data include:
- Understanding the dark data
- Retention of data
- Proper integration of data to get the best results analytically
- Access to data anytime anywhere
Data flow in from various sources, and in different forms, mostly unstructured, which makes data and database structuring a difficult task. Data integration is another thing which intensifies the difficulties in analytics. Rapid and anywhere access to data is the demand of most of the business, but now on-premises high-speed storage is an expensive affair, so data tends to flow only slower from the cheaper storage solutions.
AI’s help in database management
Developers need to determine the nature of data which need to be aggregated for queries. So, apart from merely making a repository for the application to pull data from various sources, the need to focus more on developing unique integration methods to categorize different sources to extract data from. Along with AI, machine learning will make this a much efficient automated process by adequately mapping between the sources and the data repository. It will further cut down the aggregation and integration time and cost.
Organizing Database Storage
Over many years in the past, the vendors offer data storage made the most significant methods to automate data storage and management with the help of low-cost cloud and on-premise storage solutions. Database administration has also become much easier and cost-effective to the enterprises with the development of technology-intensive DB management practices.
IT departments are now much enabled to use smarter storage engines which can leverage the benefits of AI and machine learning to understand what sort of data is accessed more frequently and which are seldom accessed. With this understanding, automation of data storage and retrieval can be made much efficient based on various business rules integrated into the machine algorithms. Automation helps to save a lot of time and effort of storage managers when compared to the manual storage optimization process.
So, in every possibility, we can see that the significant IT challenge of data management is going to benefit from a better approach through AI and machine learning in an ever-changing environment where data is considered as the most valuable asset of the business. Ranging from CIOs, IT manager, database administrators everyone is engaged more in C-level discussions now about increasing the strategic agility of the database management procedure to come up with more innovative methods to reduce cost and time of operations.
Database management is expected to be well in sync with the all such growing and upcoming technologies to work together and change the fate of any business by leading those through a more insightful path of advancement.
With his in-depth knowledge and skills in remote data administration, Sujain Thomas is so keen on sharing his knowledge and experience with database enthusiasts through blogging. She used to write on blogs like RemoteDBA.com and also published a book on Corporate Database Management.