While the human touch will always prevail, you should know that there are many ways in which we can all utilize artificial intelligence (AI) wisely in order to run more efficient and effective PR campaigns. As technology continues to evolve, many companies are turning to artificial intelligence as a means to help streamline repetitive processes and find efficiencies where they can. The public relations sector is no different, with PR firms looking for ways to use artificial intelligence for certain aspects of the business that can benefit from AI functions. The idea of using AI can be worrisome for people working in PR as they are concerned about their jobs being replaced by programmable technology, but that is not the case. Public relations firms can benefit from the use of AI, particularly when it comes to the sheer volume of information they need to sort through.

As AI is adopted by a growing number of organizations and functions within an organization, it is a capability that must command the attention and active governance of the C-suite and board of directors.

Join executive leaders at the Conversational AI & Intelligent AI Assistants Summit, presented by Five9. AI technologies are becoming prevalent in enterprises around the world. While the adoption rate varies between businesses, a majority of them -- 95% in a recent S&P Global report -- consider AI to be important in their digital transformation efforts. Organizations were expected to invest more than $50 billion in AI systems globally in 2020, according to IDC, up from $37.5 billion in 2019. And by 2024, investment is expected to reach $110 billion.

There is mounting public concern over the influence that AI based systems has in our society. Coalitions in all sectors are acting worldwide to resist hamful applications of AI. From indigenous people addressing the lack of reliable data, to smart city stakeholders, to students protesting the academic relationships with sex trafficker and MIT donor Jeffery Epstein, the questionable ethics and values of those heavily investing in and profiting from AI are under global scrutiny. There are biased, wrongful, and disturbing assumptions embedded in AI algorithms that could get locked in without intervention. Our best human judgment is needed to contain AI's harmful impact. Perhaps one of the greatest contributions of AI will be to make us ultimately understand how important human wisdom truly is in life on earth.

Most of the companies fall back on building an AI team since it is hard to find efficient people. It's hard to find a consulting firm when you're a small start-up company as their cost may fall huge on your finances. But here we are to help you sail through those processes, here are a few things to check before choosing a machine learning consultancy firm. The machine learning consultancy should be capable of explaining things clearly and in a simplified manner regarding how machine learning works, and how it can benefit your organization. This should make things about the data and how machine learning can be used for predictions to the company and its core team members.

AI has now made it onto CEOs' agendas. While the topic certainly isn't new, CEOs have learned that the idea of AI is far simpler than its effective application. To get there, companies need to start with their business objectives and then use AI in ways that advance those objectives rather than just implementing AI for AI's sake and hoping it can add value later. Meanwhile, CEO attitudes about AI and machine learning or ML (a subset of AI techniques) have been changing as it relates to digital disruption. In the beginning, it was about understanding what digital disrupters do and how they do it.

Where does your enterprise stand on the AI adoption curve? Take our AI survey to find out. As AI proliferates, researchers are beginning to call for technologies that might foster trust in AI-powered systems. According to a survey conducted by KPMG, across five countries -- the U.S., the U.K., Germany, Canada, and Australia -- over a third of the general public says that they're unwilling to place trust in AI systems in general. And in a report published by Pega, only 25% of consumers said they'd trust a decision made by an AI system regarding a qualification for a bank loan, for example.

"Data Science" and "Data Analytics" are the most booming fields today and a large number of the crowd is inclined towards learning the same. Starting a career in Data Science and working in this field may not be as easy as it seems in the courses that are available online. You need to have a firm hold on critical thinking and analysis and need to pay great attention to details while solving any problem. Along with solving assignments and exploring the field you might as well get paid for it! So how to start freelancing in Data Science?

The majority of industrial manufacturing business leaders (55%) say AI is moving faster than it should in their field, with 49% of retail and tech leaders citing the same concern in their industries, according to a KPMG report published Tuesday. The report surveyed 950 full-time business decision makers and/or IT decision makers. The majority of industrial manufacturing, tech and retail leaders say the pandemic sped up their AI adoption plans. Fields such as government, financial services and healthcare and life sciences cited the pandemic as an accelerant less frequently. In the industrial manufacturing space, 93% of decision makers say AI is moderately to fully functional in their companies, while just 67% of healthcare and 61% of government leaders say the same.

Bengaluru: Global professional services company Accenture will acquire umlaut, an engineering consulting and services firm headquartered in Aachen, Germany for an undisclosed amount. The acquisition will scale Accenture's deep engineering capabilities to help companies use digital technologies like cloud, artificial intelligence, and 5G to transform how they design, engineer and manufacture their products as well as embed sustainability. The acquisition of umlaut will add more than 4,200 industry-leading engineers and consultants across 17 countries to Accenture's Industry X services, and expand the company's capabilities across a range of industries, including automotive, aerospace & defense, telecommunications, energy and utilities, Accenture said in a statement. Industry X combines Accenture's powerful data and digital capabilities with deep engineering expertise to offer clients the broadest suite of services for digitizing their engineering functions, factory floors and plant operations, improving productivity, speeding up the transformation of hardware into software-enabled products, and allowing for faster and more flexible product development. "We predicted that digital would ultimately be applied at scale to the core of a company's business - the design, engineering and manufacturing of their products. And, for nearly a decade Accenture has been building the unique capabilities and ecosystem partnerships to combine the power of digital with traditional engineering services," said Julie Sweet, chief executive officer, Accenture.