Dynatrace provides software intelligence to simplify cloud complexity and accelerate digital transformation. With automatic and intelligent observability at scale, our all-in-one platform delivers precise answers about the performance and security of applications, the underlying infrastructure, and the experience of all users to enable organizations to innovate faster, collaborate more efficiently, and deliver more value with dramatically less effort. That's why many of the world's largest organizations trust Dynatrace to modernize and automate cloud operations, release better software faster, and deliver unrivalled digital experiences. We invest more in R&D than some of our competitors' total revenue, assuring market-leading customer value and quick adoption Working with the largest of the Cloud players like AWS, Azure, Pivotal and Google Cloud allows our customers to have the best of 3rd Generation Monitoring in the world. Not to mention we're fully automated from the start, providing the most advanced solution leveraging our AI machine learning technology

Click Here to See if you Qualify. AI, automation, and robotics have created an exciting age of disruptive innovation. Companies worldwide invest in AI products and services to stay ahead of their competition. Therefore, investing in AI stocks is a great way to profit from this growth sector; AI stocks combine the excitement and promise of AI with the potential for sustainable returns. With AI-based technologies becoming more ubiquitous daily, AI stocks offer investors a chance to gain exposure to companies with AI and automation at their core.

Dynatrace exists to make the world's software work perfectly. Our unified software intelligence platform combines broad and deep observability and continuous runtime application security with the most advanced AIOps to provide answers and intelligent automation from data at an enormous scale. This enables innovators to modernize and automate cloud operations, deliver software faster and more securely, and ensure flawless digital experiences. That is why the world's largest organizations trust Dynatrace to accelerate digital transformation. We're an equal opportunity employer and embrace all applicants.

Dynatrace exists to make the world's software work perfectly. Our unified software intelligence platform combines broad and deep observability and continuous runtime application security with the most advanced AIOps to provide answers and intelligent automation from data at an enormous scale. This enables innovators to modernize and automate cloud operations, deliver software faster and more securely, and ensure flawless digital experiences. That is why the world's largest organizations trust Dynatrace to accelerate digital transformation. We're an equal opportunity employer and embrace all applicants.

The artificial intelligence for IT operations (AIOps) platform market is moving faster than can really be imagined, both in terms of vendors as well as the capabilities that make up AIOps solutions. This was driven by a continued increase of unmanageable data volumes and continued desire for business insights. To address these changes since the last Forrester Wave on AIOps two years ago, Forrester published the AIOps Reference Architecture, which defines the 18 functions required to deliver AIOps solutions. Additionally, we published guidance on the different perspectives of how to approach AIOps to address a growing organizational need to help put AIOps into practice. The Forrester Wave: Artificial Intelligence For IT Operations, Q4 2022 is focused on technology-centric AIOps solutions, which was a key element of the entry criteria in addition to single-code base and/or UI, stand-alone product, and domain-agnostic interoperability. Operationally aligned and process-centric AIOps vendors were not included in this research but will be highlighted in future Forrester research efforts.

Dynatrace exists to make software work perfectly. Our platform combines broad and deep observability and continuous runtime application security with advanced AIOps to provide answers and intelligent automation from data. This enables innovators to modernize and automate cloud operations, deliver software faster and more securely, and ensure flawless digital experiences. That is why the world's largest organizations trust Dynatrace to accelerate digital transformation. We are an equal opportunity employer and embrace all applicants.

Organizations of all sizes and across all industries gather and analyze metrics or key performance indicators (KPIs) to help their businesses run effectively and efficiently. Operational metrics are used to evaluate performance, compare results, and track relevant data to improve business outcomes. For example, you can use operational metrics to determine application performance (the average time it takes to render a page for an end user) or application availability (the duration of time the application was operational). One challenge that most organizations face today is detecting anomalies in operational metrics, which are key in ensuring continuity of IT system operations. Traditional rule-based methods are manual and look for data that falls outside of numerical ranges that have been arbitrarily defined.

The COVID pandemic may be receding, but it has left a mark on across multiple aspects of our lives. From mask mandates to travel restrictions, we chafe at some of the changes – but in the business world the use of artificial intelligence (AI) systems has dramatically expanded in the past year. This was probably inevitable – but AI brought advantages in coping with the pandemic for companies that could make use of it, and the expansion accelerated. AI has found its place in a huge range of applications, at both the front and back end of businesses. It’s prevalent in software management and data systems, as well as in communications, where AI systems filter emails and conduct robochats. And this has not been ignored by Wall Street. Analysts say that plenty of compelling investments can be found within this space. With this in mind, we’ve opened up TipRanks’ database, and pulled two stocks which are stand to benefit from AI technology. Importantly, both have amassed enough bullish calls from analysts to be given “Strong Buy” consensus ratings. Nuance Communications (NUAN) We’ll start with Nuance, a company in the communications software niche. This Massachusetts-based company offers solutions for business clients in the healthcare and customer service industries, with products that enhance speech recognition, telephone call steering systems, automated phone directories, medical transcription, and optical character recognition. It’s a full range of AI-powered, cloud communications software, applied in real time. Nuance’s flagship product, the Dragon Ambient eXperience (DAX) is marketed to the healthcare industry, where it uses AI to automate the paperwork burdens on physician practices and hospitals. This streamlines operations allow doctors more time and resources to spend on patients, and provides greater satisfaction to health care providers and users. The applications of Nuance’s product and solution lines to the current environment is clear: when the pandemic locked down so many people at home, businesses still had to maintain their customer-facing systems, and software automation, based on AI tech, made that possible with fewer personnel. Since the pandemic started last winter, the company seen its shares grow tremendously, up 205% in the last 12 months, far outpacing the overall stock market. The most recent quarterly report, for fiscal Q1, showed quarterly revenues above the forecast at $81.4 million. EPS showed a net loss, as expected, but at 27 cents the loss was a 28% sequential improvement from Q3. The company’s balance sheet is strong, with zero debt, $256 million cash on hand, and a credit facility up to $50 million. The company’s most recent quarterly report, for fiscal Q1, beat the forecasts on both the top and bottom lines. Earnings beat expectations by 11%, coming in at 20 cents per share, while revenues of $345.8 million were a modest 2% above the estimates. As a result, operating cash flow grew 22% year-over-year, to $54.6 million for the quarter. Among the bulls is 5-star analyst Daniel Ives, of Wedbush, who rates NUAN shares an Outperform (i.e. Buy), and his $65 price target implies an upside potential of ~44%. (To watch Ives’ track record, click here) "We believe Nuance overall continues to be laser focused on building a global cloud healthcare and AI driven business with growing ARR and a sustainable revenue/ earnings stream going forward with larger deals in the field as more hospital- wide deployments shift to the cloud are playing out and gaining further momentum based on our checks," Ives opined. The analyst added, "From a valuation/ SOTP perspective, we believe over time the DAX business alone could be worth between $3 billion to $4 billion to NUAN's stock as this AI next generation platform represents a potential paradigm changer for hospitals/healthcare clinics/specialists over the coming years." Ives is no outlier on Nuance, as shown by the unanimous Strong Buy analyst consensus on the stock. Nuance has received 6 recent reviews, and all are to Buy. The shares are trading for $45.20, and the $59.67 average price target suggests a 32% one-year upside. (See NUAN stock analysis on TipRanks) Dynatrace, Inc. (DT) The second AI stock we’ll look at, Dynatrace, is another cloud software company – but Dynatrace’s products are designed to power business data. The company’s AI platform brings intelligent automation to network management and cloud monitoring. DT’s platform allows for cloud automation, business analytics, digital experience, application security, applications and microservices, and infrastructure monitoring. It’s sold as a one-stop-shop for network and system managers seeking an intelligent software agent. Dynatrace’s shares have been showing consistent growth over a long term. The stock is up a robust 133% in the past 12 months, and revenues have also been growing over that period. In the most recent report, for Q3 fiscal year 2021, the company showed $182.9 million in top-line revenue, beating the forecast by ~6% and growing 27% year-over-year. EPS came in at 6 cents, flat from Q2 and far better than the break-even reported for the year-ago quarter. Three key metrics stand out in the quarterly report, and both for the right reasons. Subscription revenue grew 33% year-over-year, to reach $170.3 million, and annual recurring revenue (ARR) – which is an important predictor of future performance – grew 35% yoy and came in at $722 million. At the same time, license revenue dropped by more than 93%, to just $300,000. Taken all together, these results point toward a strong shift toward recurring cloud customers – a common trend in the software space. Needham’s 5-star analyst Jack Andrews has been closely following Dynatrace, and he believes DT’s AI products may replace incumbent tools as customers expand to additional modules. “Embedded AIOps and automation creates a compelling value proposition… Compared to competitors in the market, DT's AI Engine is embedded within its core platform and can be levered across the portfolio to deliver answers from data. Moreover, its One Agent technology automatically discovers high-fidelity data from applications and thus can map the billions of dependencies in complex environments," Andrews said. The analyst summed up, "In our view, DT is well-positioned to serve as a single source of truth that can help users trace a line between written code and business outcomes (i.e. BizDevSecOps)." Andrews named Dynatrace as a top pick, and in line with this upbeat assessment, the analyst rates the stock a Buy along with a $66 price target. Ivestors stand to pocket ~28% gain should the analyst's thesis play out. (To watch Andrews’ track record, click here) Once again, we’re looking at a stock who strong performance has inspired unanimity from the Wall Street analysts. DT shares have 13 Buy reviews, for a Strong Buy consensus rating. The stock sells for $51.76 and its $59.69 average price target suggests ~15% upside from that level. (See DT stock analysis on TipRanks) To find good ideas for AI stocks trading at attractive valuations, visit TipRanks’ Best Stocks to Buy, a newly launched tool that unites all of TipRanks’ equity insights. Disclaimer: The opinions expressed in this article are solely those of the featured analysts. The content is intended to be used for informational purposes only. It is very important to do your own analysis before making any investment.

If you lead an IT, DevOps, or business operations team, you're probably working on a digital transformation and cloud migration strategy. You're also likely doing it with scarce resources under the strain of shifting market needs and accelerated customer demands. The applications and services that enable these experiences are built on multicloud environments that promise faster innovation and better business outcomes. But these dynamic environments also bring a scale, complexity, and frequency of change that have grown beyond humans' capacity to manage. The common approaches to monitoring these environments to build applications, optimize performance, and run operations are no longer effective.

These days, artificial intelligence is showing up in all sorts of new services. There's a reason: The use of AI is growing fast, and businesses putting it to good use are unlocking efficiencies and delivering better experiences to their customers. According to tech researcher IDC, global spending on AI is expected to have increased more than 12% this year and to top $156 billion. That's impressive given the current state of world affairs, and AI is expected to continue its expansion for the foreseeable future. If investing in the artificial intelligence trend for the long-haul is your goal, Dynatrace (NYSE:DT), Marvell Technology Group (NASDAQ:MRVL), and Medallia (NYSE:MDLA) stocks are worth serious looks.