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ALBANY, N.Y., May 3, 2021 /PRNewswire/ -- Seeming relatively new, the conception of artificial intelligence (AI) dates back to 1955 which was founded as an academic discipline. Since then, course of the technology has been a like that of a rollercoaster, with a mix of waves of elevation and dip, nonetheless, in the more recent times has witnessed new approaches, success and renewed funding. Meanwhile, with strong basis, advocates of AI and experts say AI will amplify human capabilities and disrupt eons-old human activities. This, currently, is already being experienced for complex decision-making, visual acuity, reasoning and learning, speech recognition and language translation, and sophisticated analytics and pattern recognition tasks.

With such a wide expanse of capabilities, the optimism for AI to boost the efficiency and effectiveness of business processes in nearly every industry is well received. For example, the healthcare industry perceives AI and its many applications can improve patient care to a great extent, by way of diagnosing and treating patients or helping the elderly and disabled live fuller and healthier lives. Such deliberation from the high-value healthcare industry is immense promising for the triumph of artificial intelligence, reckoned for solid applications in other service industries too. Manufacturing, agriculture, and energy are some other industry sectors that look on AI to transform end-to-end business processes to commence in the near-term itself. Therefore, this validates outstanding `growth with ~29% CAGR of the artificial intelligence market from 2020-2030.

Artificial Intelligence Market Key Findings of the Report

Sizeable use of AI-based Products, Mobile Apps amidst COVID-19 for Comprehensive Monitoring opens Unknown Opportunities

In the current crisis of COVID-19, big data and AI are being used extensively to monitor and handle the situation effectively. Health authorities, frontline workers, and health caregivers are leveraging AI to monitor cases, identify disease clusters, and analyze for future outbreaks. Taking a cue from the effectiveness of current AI systems, stakeholders in the AI market are making concerted efforts to develop early warning systems. Savvy players are reaching out to social platforms and news channels to obtain data and useful information, and use AI-based systems to extrapolate risk of occurrence in vulnerable regions. This creates immense opportunities in the AI market.

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Explore 350 pages of superlative research, current market scenario, and extensive geographical projections. Gain insights into the Artificial Intelligence Market (Component: Hardware, Software, and Services; Application: Virtual Assistants/Chatbots, Forecasts & Modelling, Text Analytics, Speech Analytics, Computer Vision, Predictive Maintenance, and Others; and End User: BFSI, IT & Telecom, Manufacturing, Retail & eCommerce, Healthcare, Government, Energy & Utilities, Media & Entertainment, and Others) - Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2020-2030 at https://www.transparencymarketresearch.com/artificial-intelligence-market.html

Solid Use for Tangible Advantages of Banking Security, Compliance extends Ample Growth Opportunities

The banking, financial services, and insurance sector reaps sizeable advantages with the deployment of AI for new customer-centric approaches and next-gen business processes. Chatbots or digital personal assistant are the most popular AI-based software used in the banking sector, which helps to answer FAQs of customers.

Besides this, to safeguard the goldmine of personal and confidential information of customers, companies in the AI market are providing AI-enhanced security software for banking processes.

Analyze global artificial intelligence market growth in 30+ countries including US, Canada, Germany, United Kingdom, France, Italy, Russia, Poland, Benelux, Nordic, China, Japan, India, and South Korea. Request a sample of the study

Furthermore, banking compliance and financial forecasting processes are creating value grab opportunities for players in the artificial intelligence market. For example, automation of manual compliances for Know Your Customer (KYC) and Anti-Money Laundering (AML) exercises are becoming customary in banking services.

Speculations of High worth of Computer Vision Technology in Self-driving Cars, Retail to create New Growth Vistas

Currently nascent, computer vision technology a subset of AI is being used in self-driving automobiles. The self-driving car Tesla by Elon Musk is a recent and popular example of use of computer vision technology. However, the road ahead for self-driving cars to be established, negating the high risk of fatal accidents is quite long.

In the interim, keen players in the AI market are tapping into incremental opportunities in the retail sector, wherein Amazon Go checkout-free self-service retailing is an example.

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Artificial Intelligence Market Growth Drivers

Artificial Intelligence Market Key Players

Explore Transparency Market Research's award-winning coverage of the Global IT & Telecom Industry:

Robot Operating System Market- The global robot operating system (ROS) market is expected to reach a value of US$ 438.0 Mn by 2027 on account of ever expanding robots across a number of industries. The market is projected to expand at a CAGR of 9.2% during the forecast period from 2019 to 2027. The global robot operating system market is mainly driven by rising adoption of ROS in research & innovation and rising expansion of industrial capabilities.

Automated Fingerprint Identification Systems Market- To maintain the confidentiality of information and ensure the security of officials, more and more government institutions are adopting automated fingerprint identification systems. As such, government and security agencies account for the highest revenue in the automated fingerprint identification systems market, with an estimated value of ~US$ 15 billion by the end of 2027.

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Our data repository is continuously updated and revised by a team of research experts, so that it always reflects the latest trends and information. With a broad research and analysis capability, Transparency Market Research employs rigorous primary and secondary research techniques in developing distinctive data sets and research material for business reports.

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Artificial Intelligence Market: Valuable Applications for host of Functions across a Spectrum of Industries extends lucrative growth Opportunities,...

DALLAS, May 3, 2021 /PRNewswire/ --Lantern Pharma (NASDAQ: LTRN), a clinical stage biopharmaceutical company using its proprietary RADR artificial intelligence ("A.I.") platform to transform the cost, pace, and timeline of oncology drug discovery and development, announced today that it has entered into a research and development collaboration with Actuate Therapeutics. The collaboration will focus on leveraging the RADR machine learning technology, large-scale oncology datasets, and the A.I. platform to accelerate key aspects of Actuate's 9-ING-41 drug candidate, a best-in-class GSK-3 inhibitor in active development in multiple Phase 2 clinical trials, including for pancreatic cancer. The collaboration is expected to start immediately and will potentially generate novel intellectual property that will be jointly owned by the companies.

Daniel Schmitt, President and Chief Executive Officer of Actuate Therapeutics, commented, "Accelerating the development of 9-ING-41 by leveraging the latest techniques in machine learning and genomics has the potential to aid in bringing our life altering therapies to patients faster and with a greater degree of precision. We are committed to leveraging the latest advances in biomarker driven medicine and technology to advance our drug candidates in the most promising sub-types of cancer and in patients who may have the highest likelihood to benefit from our therapy." In a study published on February 23, 2021 in the journal Cancer Medicine, Dr. Jayson Parker from the University of Toronto and his co-authors provided systematic statistical evidence that biomarkers when used in patient stratification and monitoring in oncology clinical trials improve the likelihood of drug regulatory approvals by a factor of five.

Lantern Pharma recently announced that the RADRplatform had surpassed 4.6 billion datapoints and had advanced certain aspects of automation and machine learning as a result of the latest development campaign. The latest development campaign was aimed at improving the predictive power of the biomarker signatures created by RADR and the ability to potentially impact drug development in a broader range of solid tumor subtypes. Lantern expects that RADR will surpass 10 billion curated and tagged oncology datapoints over the next 12 months, which has the potential to make the platform even more useful across a broader range of cancer development and drug development or rescue programs.

Panna Sharma, CEO and President of Lantern Pharma, stated, "Companies like Actuate that are adopting methods that are at the forefront of this new era of data and A.I. guided drug development have the potential to conduct future clinical trials with biomarker signatures that have been generated at a fraction of the cost of traditional techniques. Using highly scalable machine-learning methods to guide drug development can potentially yield new biological insights, while also increasing response rates and improving outcomes in clinical trials."

Under the terms of the collaboration, Lantern Pharma will receive upfront equity in Actuate Therapeutics subject to meeting certain conditions of the collaboration, as well as development milestones in the form of additional equity if results from the collaboration are utilized in future development efforts. No further financial details were disclosed.

Contact

Marek Ciszewski, J.D.Director, Investor Relations628-777-3167[emailprotected]

About Actuate Therapeutics

Actuate Therapeutics, Inc. is a clinical stage pharmaceutical company focused on the development and commercialization of novel therapeutics for cancers and inflammatory diseases. For additional information, please visit the company'swebsite at http://www.actuatetherapeutics.com.

About Lantern Pharma

Lantern Pharma (Nasdaq: LTRN) is a clinical-stage oncology-focused biopharmaceutical company leveraging its proprietary RADR A.I. platform and machine learning to discover biomarker signatures that identify patients most likely to respond to its pipeline of genomically-targeted therapeutics. Lantern is currently developing four drug candidates and an ADC program across seven disclosed tumor targets, including two phase 2 programs. By targeting drugs to patients whose genomic profile identifies them as having the highest probability of benefiting from the drug, Lantern's approach represents the potential to deliver best-in-class outcomes. More information is available at: http://www.lanternpharma.com and Twitter @lanternpharma.

Forward-looking Statements

This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. These forward-looking statements include, among other things, statements relating to: future events or our future financial performance; our strategic plans to advance our collaboration with Actuate Therapeutics; the potential advantages of our RADR platform in identifying drug candidates and patient populations that are likely to respond to a drug candidate; the utilization of our RADR platform to streamline the drug development process; and our intention to leverage artificial intelligence, machine learning and genomic data to streamline and transform the pace, risk and cost of oncology drug discovery and development and to identify patient populations that would likely respond to a drug candidate. Any statements that are not statements of historical fact (including, without limitation, statements that use words such as "anticipate," "believe," "contemplate," "could," "estimate," "expect," "intend," "seek," "may," "might," "plan," "potential," "predict," "project," "target," "objective'" "aim," "should," "will," "would," or the negative of these words or other similar expressions) should be considered forward-looking statements. There are a number of important factors that could cause our actual results to differ materially from those indicated by the forward-looking statements, such as (i) the impact of the COVID-19 pandemic, (ii) the risk that our collaboration with Actuate Therapeutics may not be successful and may not yield meaningful results, (iii)the risk that no drug product based on our proprietary RADR A.I. platform has received FDA marketing approval or otherwise been incorporated into a commercial product, (iv) the risk that none of our product candidates has received FDA marketing approval, and we may not be able to successfully initiate, conduct, or conclude clinical testing for or obtain marketing approval for our product candidates, and (v) those other factors set forth in the Risk Factors section in our Annual Report on Form 10-K for the year ended December 31, 2020, filed with the Securities and Exchange Commission on March 10, 2021. You may access our Annual Report on Form 10-K for the year ended December 31, 2020 under the investor SEC filings tab of our website at http://www.lanternpharma.com or on the SEC's website at http://www.sec.gov. Given these risks and uncertainties, we can give no assurances that our forward-looking statements will prove to be accurate, or that any other results or events projected or contemplated by our forward-looking statements will in fact occur, and we caution investors not to place undue reliance on these statements. All forward-looking statements in this press release represent our judgment as of the date hereof, and, except as otherwise required by law, we disclaim any obligation to update any forward-looking statements to conform the statement to actual results or changes in our expectations.

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Artificial intelligence seems to be the next big thing in many industries today. The technology is infiltrating every sector and transforming the tasks that computers perform into a lot of hype. Starting from fitness-focused smartphone apps that adapt to womens menstrual cycle to autonomous vehicles that use sensors and software to dodge at stray animals, artificial intelligence has influenced every part of human life. It has evolved from being just a trend to a core ingredient virtually across every aspect of computing. In the modern world, businesses across diverse sectors use artificial intelligence as a tool to meet their goals, be it customer service through an intuitive chatbot or streamlining video production through synthetic voiceovers. For a term that dates back to 1956 and celebrates its 65th birthday this year, artificial intelligence has performed and revolutionized more than how anybody imagined.

As years passed, humans gained great faith in technology and machines, which eventually accelerated artificial intelligence adoption. Today, the role of artificial intelligence in an enterprise has become so important that it has touched every facet of business, and its crucial place will significantly grow over the coming years. Artificial intelligence, though revolutionary in itself, is an enabler that needs to be used effectively to achieve business objectives. Businesses are using AI agents to engage customers, rapidly create content, analyze transactions and detect fraud. Even though it comes with a lot of flaws, the speediness, customized content, and target recommendations, overweigh the cons.

AI-driven technologies have the potential to enhance our lives as both learners and workers. Researchers and developers are continuously improving them to mimic human behaviors in routines like learning, problem-solving, and processing language. While they are growing to be strong imitators of humans, they still lack essential human traits such as wisdom, insight, humor, and empathy. Fortunately, the next generations AI will carry all the objectives that humans think are essential for machines to cope up with them. The technological capabilities will attempt to solve real-world issues, moving beyond doing repetitive and routine works.

While big guys like Amazon, Apple, Google, and Microsoft scramble to infuse their products with artificial intelligence, other companies are hard at work developing their own intelligent technologies and services. The rise of digitization and the thirst for automation are fuelling the demand for AI solutions. Not just companies, even the governments are focusing on deep research in the field of finding, investing, and growing local talent to make their country the AI hub. Artificial intelligence companies are also initiating to deliver a robust service to their customers by using sub-technologies like machine learning, deep learning, edge computing, business intelligence, etc. as their prominent business principle. In a nutshell, artificial intelligence is used as a tool to integrate multiple sources of data or a vast amount of data, data security, real-world applications, predictions, cloud operations, etc. With the arena of AI technologies at the beginning, the world has experienced so much so far. The future is anticipated to be more sophisticated and personalized with the help of artificial intelligence.

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Artificial Intelligence is the Most Disruptive Technology of the Century - Analytics Insight

In the legal world, and in particular the world of electronic discovery, artificial intelligence (AI) has been around for more than a decade. It is no longer unusual or controversial for organizations to use AI technologies in litigation, especially where large or complex data sets are involved. Legal teams now routinely turn to AI to defensibly accelerate the process of identifying documents likely to be responsive to requests for evidence.

Innovations like technology assisted review (TAR), for example, rely heavily on machine learning and natural language processing to make connections and identify patterns within a body of data in a matter of seconds. This is work that would take even the most qualified human reviewers many, many hours to do manually, and with less accuracy.

Apart from sheer computing power, one of the most useful features of AI technology like machine learning is its ability to quickly learn and continuously improve the accuracy of its outputs with the essentially passive assistance of human reviewers. In continuous active learning (CAL), now a feature of leading eDiscovery platforms, even the process of training machines to find what youre looking for is performed algorithmically with no direction from human document reviewers beyond the coding or labeling they perform in the process of manual review. This is a remarkably efficient and cost-effective way to teach machines to identify responsive information, and it has enormous potential for other vital corporate functions. A notable example is compliance.

The usefulness of active learning as a proactive compliance and information governance tool has only recently begun to be explored and appreciated. Across the corporate landscape, reactive approaches to potential problems hidden in data stores are far more commonand ultimately more costly and risky. Companies will typically wait until a whistleblower complains or an employee happens upon a potential problem, and then respond by launching an internal investigation.

AI technology can help your organization avoid this scenario. You can use it to:

This handful of examples represents only a small fraction of potential use cases for AI in compliance and governance activities. Every industry will present a different set of use cases. Nevertheless, enterprises in just about every vertical face daunting compliance challenges requiring the identification of data-based risks in vast repositories of structured and unstructured data. This data is generated by hundreds or thousands of applications operating within diverse and often poorly integrated systems. This is the kind of environment where AI shines.

If your organization is already using an eDiscovery platform with built-in AI tools, it might make sense to explore how you can use those tools for broader data management, information governance, and risk mitigation purposes. As you run regular health checks, you will get a better understanding of your data and your approach to data-based compliance will be more proactive and cost-effective. That means fewer investigations in response to potential issues and, in many cases, less litigation overall.

About the Author

David Carns is the Chief Revenue Officer of Casepoint. He joined Casepoint as a Director of Client Services in 2010, rose the ranks to Chief Strategy Officer until his most recent promotion in 2019. In addition to being a recovering attorney, David possesses a lifelong passion for technology and its advancements. His career has always found him at the intersection of technology and the legal field given his intimate knowledge of both. Carns holds a Juris Doctorate from The John Marshall Law School and a Bachelors degree in Philosophy from DePauw University.

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Using Artificial Intelligence Tools to Run Proactive Health Check Investigations - insideBIGDATA

SEATTLE, May 3, 2021 /PRNewswire-PRWeb/ -- Zonar, the leader in smart fleet technology, today announced it has been named an award winner in the Business Intelligence Group's 2021 Excellence in Customer Service and Artificial Intelligence Excellence programs.

The Artificial Intelligence Excellence program recognizes organizations, products and people bringing artificial intelligence (AI) to life and applying it to solve real problems. Zonar Coach, a smart dashcam with real-time, in-cab coaching, has upheld commercial trucking safety standards by utilizing AI to detect distracted driving behaviors and keep truck drivers safe on the road.

"We are so proud to name Zonar as a winner in our inaugural Artificial Intelligence Excellence Awards program," said Maria Jimenez, chief nominations officer for Business Intelligence Group. "It was clear to our judges that Zonar was using AI to improve the lives of its customers and employees. Congratulations to the entire team."

The Excellence in Customer Service program celebrates companies achieving business success and growth by supporting their own customers and those who are developing the tools to help others find success. Zonar's dedicated customer success team is responsible for relationship building and management with customers. While most other companies in the industry provide a base-level customer support system, Zonar goes above and beyond to provide concierge-level service to all customers.

"On the frontline of our uncertain times are customer service professionals and suppliers without whom we wouldn't be able to live as comfortably as we have for the last year," Jimenez said. "It is our honor to recognize Zonar for leading by example and making real progress on improving the daily lives of so many."

Organizations from across the globe submitted their recent innovations and best practices for consideration. Nominations were then judged by a select group of business leaders and executives who volunteer their time and expertise to score submissions.

"Zonar's commitment to industry innovation and support is transformative. We are setting the bar high and seeing success through understanding our customer's top priorities and challenges," said Michael Gould, chief operating officer at Zonar. "We are thrilled to be recognized for technology that is keeping drivers safe on the road and exemplifying what it means to truly offer exceptional customer support."

Earlier this year, Zonar was also honored by Business Intelligence Group in its BIG Innovation Awards for its efforts to increase digitization in vocational, pupil transportation, mass transit and commercial trucking industries over the past 20 years.

Founded in 2001, Zonar has pioneered smart fleet management solutions throughout vocational, pupil, mass transit and commercial trucking industries. Zonar's mission is to enhance the safety, performance and success of our customers by transforming the delivery of innovative insights for commercial fleets around the world. Zonar achieves this by helping fleets of all sizes maximize the use of their assets with solutions dedicated to improving compliance, efficiency, maintenance, ridership visibility, safety and tracking. Cloud-based services with open APIs drive Zonar's smart fleet solutions by making it easy for fleet owners and managers to stay connected to their fleets and drivers and operators to dispatch. Headquartered in Seattle and majority-owned by technology company Continental, Zonar also has a Technology Development Center in downtown Seattle, a regional office in Cincinnati, and a distribution center outside of Atlanta. For more information about Zonar, go to http://www.zonarystems.com

About Business Intelligence Group

The Business Intelligence Group was founded with the mission of recognizing true talent and superior performance in the business world. Unlike other industry award programs, these programs are judged by business executives having experience and knowledge. The organization's proprietary and unique scoring system selectively measures performance across multiple business domains and then rewards those companies whose achievements stand above those of their peers.

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Zonar Named Winner in Business Intelligence Group's 2021 Excellence in Customer Service and Artificial Intelligence Excellence Awards - goskagit.com