Predictive analysis is the process of determining the likelihood of future outcomes based on historical data by employing data, statistical […]
An inspiring visionary is always passionate about creating powerful business models! And to help you there, AI & Big Data Expo 2022 is Back! The event will serve as an excellent getaway for any business.
AI & Big Data Expo is one of the world’s leading tech events and is always well attended by tech brands and top speakers from all over the world. The event usually comes once a year, and this year, it will be at Santa Clara Convention Center, CA- North America, on the 5th-6th of October 2022.
AI & Big Data Expo seeks to explore the latest innovations, implementations and strategies in AI and Big Data to drive businesses forward. With more than 5000 ambitious enterprise technology deliverables, 250+ speakers, 18 Conference Tracks and more, the AI & Big Data Expo 2022 will surely be a great hit to help you modernize and grow your business while staying secure.
The key areas will include Machine Learning, Decision Science, RPA, Automation Infrastructure, Computer Vision, Voice Technology, NLP and Chatbots.
If you are an entrepreneur and searching for ways to grow your current business or find a new one, you can also connect to ksolves at AI & Big Data Expo 2022. Ksolves offer customized AI & Big Data solutions.
What is Great About AI & Big Data Expo?
AI & Big Data Expo explores different business opportunities for all brands and different-size businesses. It offers a perfect platform for businesses, industries, startups, investors and innovators to leverage the latest technology development in AI and Big Data.
Businesses deploying AI models within their operations reap tangible benefits, including material gains. The same is true for Big Data and Analytics.
Once you start looking into the working of the two technologies, you will realize they have a synergic relationship. While Big Data leverages AI and Machine Learning for better data analysis, AI, in turn, requires a massive amount of data to learn and improve decision-making.
- With this convergence, you get to leverage dual benefits:
Accuracy in Advanced Analytics: You achieve more accuracy in advanced analytics like predictive analysis, augmented analysis and more.
- Extract high-value insights from Big Data: AI-powered analytics empowers you with the intuitive tools and robust technologies that make your business truly data-driven.
Here is a list of benefits of prioritizing AI & Big Data technologies in your business.
Potential Risks Identification
Big Data and AI offer effective risk management solutions to address your business issues. They promptly reduce risks by optimizing complex decisions for unexpected events and potential threats.
If your businesses function in high-risk environments, AI algorithms analyzing Big Data might play a critical role in developing effective risk management processes and strategies. AI systems analyze millions of events relevant to the data collected to discover different threats.
For example, you can ensure cybersecurity. A self-learning AI will detect cyber threats and respond to them efficiently. From identifying malware to any risky behaviour that might lead to a download of malicious code, everything is controlled in a time-bound manner.
Efficiency and Productivity Gains
The technology can handle tasks at a pace and scale that no human can match. Moreover, at the same time, if you remove human workers from mundane and repetitive tasks to higher-value tasks that technology can’t do, you will achieve higher business efficiency and productivity.
For example, you can employ AI automation in the manufacturing industry. It allows organizations to minimize production costs while maximizing their human capital’s talent.
Analyzing Big Data and driving insights from it is a key to innovation. You can now update existing products/services while innovating new ones. The large volume of data collected helps businesses identify what fits their customer base and what others think of their products/services. You can use this information in product development.
Customer Acquisition and Retention
Customers’ digital footprints reveal a lot about their preferences and needs that you can use to observe consumer patterns. Based on these observations from Big Data, you can tailor your products and services according to specific customer needs.
For example, with real-time tracking of the market demand, you twist business strategies and improve marketing techniques and employee productivity.
Higher accuracy in predicting demands ensures customer satisfaction, loyalty, and ultimately a considerable boost in sales.
Why Connect With Ksolves at AI & Big Data Expo ?
A successful business model needs a unique approach to organizing data. Are you passionate enough to create powerful business models? Don’t wait; connect to Ksolves now at AI & Big Data Expo 2022!
Ksolves India Limited is a leading business intelligence and data analytics company that delivers end-to-end AI & Big Data solutions. We have 10+ years of experience in the IT industry. With a 50+ AI workforce and 24*7 Tech Support, we have delivered multiple projects across domains like banking, healthcare, finance, agriculture and more.
Ksolves aims to build a successful business using a unique approach. We offer customized solutions, end-to-end project delivery, implementation and business analytics consulting.
Connect us for a free audit and discussion at AI & BI Data Expo 2022. You can also visit email@example.com or call us directly on +91 8130704295 for AI & Big Data analytics services.
AI & Big Data Expo 2022 is for all those ambitious enterprise technology professionals that aim to explore the latest innovations within AI & Big Data. Seek this opportunity to explore the technical impact on various industries, including manufacturing, transport, supply chain, government, legal sectors and financial services, energy, utilities, insurance, healthcare, retail and more!
Queries to be Answered- FAQ
Here are some top queries that one may be interested in!
Is any Artificial Intelligence better than JARVIS?
Artificial intelligence, or AI, is among the top emerging technologies in the world that simulate human reasoning. Most people do not believe it, but the term AI has existed since 1950. John McCarthy came up with the term. AI is the ability of computer software to think and learn independently.
Artificial Intelligence’s ideal characteristic is the ability to think and take actions based on calculations and predicting the best outcome of achieving a goal. Machine learning is the backbone of building the best AI system, such as Jarvis. Until now, we haven’t seen any better AI system than Jarvis as it is shown to think and have a great conversation with its programmers and is smarter than most humans.
Having any AI system better than Jarvis is possible; however, it will take years of research and partnerships of several top-notched programmers worldwide to build an effective AI system better than Jarvis.
What Programming Language is best for AI Systems like JARVIS?
Regarding AI development, there are several programming languages, such as Java, Haskell, Lisp, Julia, and Python. A good programming language is a term to describe characteristics of coding as learning, deploying, and reading.
Regardless of the plethora of programming languages, Python takes the win as it is considered to be the best and most efficient language to build AI systems similar to Jarvis. There are various reasons why people use Python for developing AI systems, such as:
- Well Integrated: Programmers do not have to reinvent the wheel. Most AI frameworks, platforms, and libraries are already developed and accessible in Python for free.
- Easy To Read: For AI systems, developing code that is easier to read is the best option. Python consists of more readable shortcodes than other languages.
- Excellent Visualization Tools: Python consists of the best and most vast visualization libraries critical for AI development. Data scientists can create attractive and readable chart libraries with the help of Python.Another great benefit of Python for AI development is the speed. Python is considered to be an interpreted language. But for AI systems, rapid development is highly critical and holds more significance than raw performance. Other popular programming languages for AI are:
- Java Script
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