We are a growing, dynamic computer software company that helps businesses achieve greater levels of financial intelligence across their organization with our world-class financial reporting solutions. At insightsoftware, you will learn and grow in a fast-paced, supportive environment that will take your career to the next level. We are looking for future insighters who can demonstrate teamwork, results orientation, a growth mindset, disciplined execution, and a winning attitude to join our growing team! Insightsoftware celebrates diversity and is proud to have an open and inclusive environment where our rapidly expanding family of 2400 associates feel they belong, and all voices are heard. Account Executive to focus on new business for a fast-growth global software provider ($1bn PE funding & 20 companies acquired since 2018).

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Here's what businesses can learn from the small group of organizations that already use artificial (AI) to their competitive advantage. If the world's largest companies were people, most would be in their teenage years when it comes to using Artificial Intelligence (AI). According to new research from Accenture on AI maturity, 63% of 1,200 companies were identified as "Experimenters," or companies that are stuck in the experimentation phase of their AI lives.

The need for financial institutions to quickly operationalize their artificial intelligence capabilities has moved beyond important to imperative. More than supporting risk and fraud analysis, and increased productivity, a higher level of AI maturity at banks and credit unions will be a competitive differentiator, increasing business value across the organization. The banking industry must move out of the formative stages of AI deployment to help enhance human intelligence. This includes uncovering the drivers of key performance measures such as revenue and profit, and propelling innovation in products, services, processes and customer service. All financial institutions have the ability within reach to harness insights at scale – leveraging the right information, from the right people, at the right time.

The need for financial institutions to quickly operationalize their artificial intelligence capabilities has moved beyond important to imperative. More than supporting risk and fraud analysis, and increased productivity, a higher level of AI maturity at banks and credit unions will be a competitive differentiator, increasing business value across the organization. The banking industry must move out of the formative stages of AI deployment to help enhance human intelligence. This includes uncovering the drivers of key performance measures such as revenue and profit, and propelling innovation in products, services, processes and customer service. All financial institutions have the ability within reach to harness insights at scale – leveraging the right information, from the right people, at the right time.

Accenture's latest report on AI and how businesses use it has found that only 12% of nearly 1200 companies worldwide (termed AI Achievers) have advanced their AI maturity enough to achieve superior growth and business transformation. That's despite AI and machine learning being embedded in most of our everyday processes. Every time you use a wayfinding app to get from point A to point B, use dictation to convert speech to text, or unlock your phone using face ID - you're relying on AI. Unfortunately, most businesses (63%) are still testing the waters regarding this new technology. In its new report, The Art of AI Maturity, Accenture designed a holistic AI-maturity framework.

So far, so good: Where AI is mature, business success follows. It's too early to tell if artificial intelligence (AI) will deliver on all the hype and promises around it. But in the meantime, the results we do see trickling in are encouraging. A survey just released shows that the majority of organizations that use AI are still experimenting with the technology, with about 12% have the technology truly at work in a fully "mature" fashion. The mature AI sites notably are seeing strong competitive advantage.

'Rozy' is a virtual human that was created Sidus Studio X last year in August. According to CEO Baek Seung Yeop, Rozy currently has advertising contracts with companies and a significant amount of sponsorships. As CEO Baek said, the reason for the popularity of virtual humans is that there is no fear that advertisements will be suspended due to unsavory privacy scandals after the AI model is selected as the advertising model. The location and scene can be created through computer graphics, so the virtual model is not limited in time and space, and unlike real people. The other advantage is that period in which the model can be active is very long or eternal because the virtual human doesn't get sick or grow old.

With the advancement of technology, AI influencers and virtual human models are becoming the new trend. It has recently emerged as a blue-chip in the advertising industry because there are no privacy scandals and there are no time-space restrictions with these virtual humans. In particular, the use of virtual humans seems to be gaining more momentum in the COVID-19 pandemic, where there are many restrictions on travel and limitations on the number of people gathering. On September 10, Baek Seung Yeop, CEO of Sidus Studio X that created'Rozy,' the newly rising blue-chip in the advertisement industry, explained, "These days, celebrities are sometimes withdrawn from dramas that they have been filming because of school violence scandals or bullying controversies. However, virtual humans have zero scandals to worry about."

When Luke Stark sought money from Google in November he had no idea he'd be turning down $60,000 from the tech giant in March. Stark, an assistant professor at Western University in Ontario, Canada, studies the social and ethical impacts of artificial intelligence. In late November, he applied for a Google Research Scholar award, a no-strings-attached research grant of up to $60,000 to support professors who are early in their careers. He put in for the award, he said, "because of my sense at the time that Google was building a really strong, potentially industry-leading ethical AI team." Soon after, that feeling began to dissipate.

Another day, another AI fail. Dismal project success rates between 10% to 50% continue to plague countless artificial intelligence programs. Surveys from Gartner, IDC, O'Reilly and other sources reveal most organizations run into the same preventable challenges when embarking on an AI journey. What can you do to improve your chance for AI success? In this article, I'll share several tips that I've learned from working with exceptional AI-driven enterprises around the world.