While the implications of AI-driven solutions can be complicated, certain opportunities exist for their use that offers objective and essential benefits. The public sector is one such area that is ripe – and perhaps long overdue – for a digital transformation. Waiting in line at the DMV is an infamously painful experience shared by anyone who has had the unfortunate fate of needing federally issued documents in the United States. Considering that these documents are necessary to qualify for and benefit from many government services, it is vexing that the infrastructure in place is still slow enough to be parodied as an animated sloth in a children's movie. But for many, the archaic and inaccessible process of the DMV is no laughing matter.

The massive, beautiful tree canopies in the Western U.S., which may grow perilously close to power lines, can quickly spark destructive wildfires. In fact, 70% of electrical outages are caused by vegetation, and this number has increased by 19% year over year from 2009-2020. The second-largest wildfire in California's history, The Dixie Fire, sparked when power lines came into contact with a fir tree. Could AI-driven solutions help prevent wildfires before they start by analyzing the tree growth that can spark them? Hitachi Energy, the Zurich, Switzerland-based global technology company, says yes. Hitachi Energy, formerly known as Hitachi ABB Power Grids (the name was changed last October) is currently focused on "powering good for a sustainable energy future."

Artificial Intelligence (AI) is infiltrating almost every aspect of our lives, and the financial industry is no exception. Over recent years, advanced AI methods and tools have been adopted by the financial sector for greater efficiencies, from more personalized customer service, to process optimization, to fraud detection and credit scoring, providing the fintech startup community with unbounded opportunities for impact. Intuit, a leading global financial platform company known for flagship products such as TurboTax, QuickBooks, Credit Karma and Mint, and Highline Beta, a venture studio and venture capital firm, have recently announced the launch of the Intuit Prosperity Accelerator: AI; a new accelerator for AI-focused startups to help communities overcome financial challenges in North America. David Marquis, Country Manager at Intuit Canada states the new five-month program is focused on "leveraging AI-driven solutions to help consumers and small businesses find more money with less or no work required and complete confidence in their actions and decisions". As global economies are reopening, Hussam Ayyad, Chief Accelerator Officer at Highline Beta, emphasised that "reviving small businesses is crucial" and highlighted the potential for startups to address challenges such as creating more opportunities for the financial wellbeing of consumers with the cutting-edge AI technology.

There are billions of people around the world whose online experience has been shaped by algorithms that utilize artificial intelligence (AI) and machine learning (ML). Some form of AI and ML is employed almost every time people go online, whether they are searching for content, watching a video, or shopping for a product. Not only do these technologies increase the efficiency and accuracy of consumption but, in the online ecosystem, service providers innovate upon and monetize behavioral data that is captured either directly from a user's device, a website visit or by third parties. Additionally, the collection and better utilization of data helps publishers generate revenue, minimize data risks and costs, and provide relevant consumer-preference-based audiences for brands. However, consumers and policymakers have been concerned in recent years about how AI algorithms and the biases they often contain might impact society.

As Artificial Intelligence (AI) continues to democratize and scale toward many functional areas in enterprise organizations, solutions like Insight Engines prove their utility and make great strides toward massive adoption. They give business users better search results and help departments save time and all functional areas of an organization to be more efficient. They also get the ability to search for, access quickly, and analyze data stored in various locations across their enterprise. This rapid digitization of information and delivery of insight has transformed the way businesses find and consume information. How do you keep up with this pace of change to stay ahead of the competition? The answer is by using advanced tools like AI-driven Insight Engines.

Artificial intelligence must be the future for network security, according to Fortinet. With the threat landscape constantly evolving and increasing in complexity, continued digital innovation, technological developments, and the introduction of 5G, coupled with the challenges of accelerated remote working practices and a growing cybersecurity skills gap, have collectively exacerbated the challenges that CISOs face in terms of protecting their companies' digital assets. As CISOs assess their cybersecurity posture, it's essential that they consider how to leverage new and emerging technologies to best protect their infrastructure, the company says. There have been significant developments in the artificial intelligence (AI) space that make it an increasingly strategic investment. However, Fortinet says it can be challenging for CISOs to cut through the hype and understand which AI-based solution is best suited to their organisation.

We see evidence dating back to 2017 that Johnson & Johnson has been regularly publishing about their investments and initiatives related to artificial intelligence. At present, Johnson & Johnson does not seem to boast any mature, deployed applications with the firm itself, but its AI-related investment initiatives indicate their aspirations. According to an analysis by FiercePharma, Johnson & Johnson (J&J) is the largest pharmaceutical firm by revenue, bringing in $82.1 billion in 2019. However, its pharma group has seen the lions' share of J&J's success, outperforming its other units with notable sales expansion in oncology and immunology. J&J claims to be investing in data science competency throughout the firm.

Global executives fear the increased utilization of AI as the industry is still uncertain about the intelligent technology's full capabilities and potential With the accelerated pace of digital marketing, enterprises have already begun to make decisions about adopting AI-driven solutions. A recent US Policy report'National Security Commission on Artificial Intelligence' states that Americans have not yet understood the exact consequences of AI adoption on their national security, welfare and economy. The 756 pages report underlines the fact that while AI should benefit the country, it should also defend it against AI's destructive capabilities. True, there is undiscovered knowledge that might reveal overwhelming possibilities. Experts also reflect on Open AI's CLIP and Facebook's new AI-model SEER.

One of the major problems in the healthcare industry today is the risk of burnout among the employees. One healthcare manager in a big healthcare facility ends up supervising about 100 employees, which results in a lack of meaningful engagement and overlooked signs of burnout. A healthcare engagement platform reached out to us with a similar problem. They wanted to use AI in a solution that drives intelligent human engagement. This product would help frontline healthcare managers engage with employees for effective management and in turn, deal with employee burnout.

Traditional marketing tools lack the flexibility, scalability, and comprehensiveness to address many of the challenges faced by modern companies. With growing digitization and an always-online audience, more marketing teams now require artificial intelligence (AI) to stay competitive. Before rushing to hire a data science team, you need to evaluate the third-party AI solutions already available on the market. Many vendors use "AI" in their sales pitches, but lack credible research and engineering teams that can productize and operationalize cutting-edge AI research. In this article, we feature companies with proven AI and ML expertise that are transforming marketing activities with state-of-the-art AI-driven solutions.