In the last two blogs, we discussed which jobs will benefit from generative AI and how generative AI could be used for malicious purposes. Let's see now how we can prevent the use of generative AI for malicious purpose

Industry leaders want to slow down the evolution of generative AI because they fear it may get out of control.Can AI really be a threat, and if yes, in what ways?Just like any technology, AI can be used to help humanity, or it could be used for malicious purposes.Here are a few examples of what could be done unless we take some precautions:

One of the most frequent conversation topics surrounding artificial intelligence (AI) is "which jobs will bereplaced by generative AI?" While we can't deny certain jobs are at risk, let's take a look at the opportunities that lie ahead, and which jobs can actually benefit from the latest wave in AI.

For many years, artificial intelligence was limited to tasks such as object recognition and classification. However, with the emergence of generative AI, machines are now capable of creating entirely new content on their own. From music to art and speeches, generative AI is revolutionizing the way we think about creativity and innovation.

In 2023, a standard vehicle is equipped with a variety of technologies—from wireless smartphone connectivity to blind-spot viewing monitors and autonomous emergency braking—the list goes on! In the time we live in, it is important to keep not only safety as a top priority but also convenience and accessibility.

Preparing for the FutureWhen you think of a museum, what comes to mind? Maybe dinosaur exhibits, posters of former presidents, ancient artifacts, or stone sculptures to name a few?

As human beings, we can’t be completely objective when making decisions. It doesn’t matter if we are conscious of our subjective thoughts, our decisions will always be influenced by our personal preferences, values, and opinions. Computers, on the other hand, only make decisions based on the data they are given, which is why the implementation of artificial intelligence in predictions and decision-making can help reduce this subjectivity.

Artificial intelligence has simplified jobs, tasks, and roles across a variety of industries, facilitating human work and increasing productivity by using computers and machines to replicate the way a human mind makes decisions and solves issues. This growing technology has become a huge player in today’s economy, especially in the healthcare industry.

Do you find yourself scrolling more? Feeling like you blinked and two hours went by while you were looking at your phone? It isn’t just you—with so much new digital content out there, consumption has never been higher.

The Need for High-Quality Training Data. One can get different answers to this question, but it is widely accepted that the most important piece of the AI and machine learning process is high-quality, secure, human-annotated training data.

To close out Women’s History Month, we wanted to highlight some of the powerful women who make up DataForce and their extraordinary contributions to the world of AI.

Here at DataForce, at our core, we collect diverse training data to enable and equip algorithms with the ability to eliminate bias, making AI technologies inclusive for all. But without a proper balance of men and women on our staff, our core mission wouldn’t be reflected internally—the data would simply be skewed.

2021 may have been DataForce's best year yet!As we enter 2022, we look back at how this company served as a vehicle to enable, enrich, and empower AI models.From developing resources used in the fight against COVID-19, to creating high-quality training data utilized in autonomous driving vehicles, to attending in-person events for the first time in over a year—the list goes on.

In our last post, we discussed how business are deploying and benefiting from chatbots. Now that you have a basic understanding of what chatbots are and how they work, the next step is implementing them into your business model.

According to Valuates Reports, the conversational AI market is projected to reach $32.62 billion by 2030, up from $5.78 billion in 2020. While it is clear chatbots and their uses are growing, it’s important to understand what a chatbot is exactly, its uses and benefits, and how it is being applied across industries, including life sciences.

When we say, “Alexa, help me grow my business,” you know who we’re talking to, right? This well-known virtual assistant is part of millions of households around the globe; and it’s not the only one. AI-powered voice assistants are set to reach 8 billion units by 2023.

Over the years, I’ve learned that AI may be present in organizations both large and small.However, regardless of the enterprise’s size, those embarking on their AI Journey may need some help. They’re lacking the experience and equipment from a data perspective. 

Pharmaceutical companies have historically relied on email correspondences, company websites, and physician hotlines as adverse event reporting channels.However, the incredibly high usage of social media means it is no longer a channel that can be ignored.

Have you heard of the human-in-the-loop (HITL) model?In a nutshell, it’s a method that’s put in place to achieve what humans and machines can’t do without the other. It helps provide high-quality data with a personal, human touch.

The TransPerfect DataForce team launched their first-ever DataForce Live event, the AI Revolution in Customer Care, hosted by our own Alex Poulis.

Annotation refers to the labeling of any kind of data. When you add labels to your smart phone contacts, you’re annotating data. Labeling makes it easier to retrieve your “favorites” or ignore calls from less-than-favorites.Annotation differs by data and content type. Here are other examples: