This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
The conversation is simple because the objective is simple: How do I become more effective at leveraging (big) data and analytics (artificialintelligence) to power my business? ArtificialIntelligence Solution Decomposition Process. Figure 1: The Evolution of AI, ML and DL (Source: Nvidia ).
The conversation is simple because the objective is simple: How do I become more effective at leveraging (big) data and analytics (artificialintelligence) to power my business? ArtificialIntelligence Solution Decomposition Process. Figure 1: The Evolution of AI, ML and DL (Source: Nvidia ).
According to the Constellation Research ShortList for Robotic Process Automation , “the RPA market is converging with business process management, process mining and workflow tools,” and “buyer’s should expect these tools to leverage artificialintelligence (AI) to blur the lines between human and machine processes.”
The acquisition of TimelinePI represents a significant milestone in establishing ABBYY’s leadership role in the digital transformation market as well as a global player in the emerging process mining market, which Gartner estimates will triple by 2023. We call this Digital IQ for the enterprise.
I recently heard a financialservices executive on the radio talking about Bitcoin. Good examples of changes that are coming with more that is unknown than known include cyber currencies, blockchain, quantum computing, artificialintelligence, smart cities, augmented reality and additive manufacturing.
Financialservices Like data analytics, fintech companies depend on CPUs to enable the fast and efficient processing of huge amounts of financial-based information. billion (AI ASICs stands for “application-specific integrated circuits,” specifically those related to artificialintelligence.)
In the fast-evolving landscape of data and artificialintelligence (AI) , staying ahead of the curve requires more than just tools—it demands strategic insights and actionable intelligence.
6 during Ephesoft’s inaugural Enterprise Productivity Summit , which convened enterprise strategists and technology leaders to discuss how to leverage contextual data to maximize ArtificialIntelligence-driven decision-making and automation beginning in 2020. A new platform supporting this discipline was announced Feb.
We organize all of the trending information in your field so you don't have to. Join 55,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content