American Marketing Association Releases New Skills Research
Marketing in the Age of Disruption: The Skills Marketers Need in 2025 and Beyond
CHICAGO, IL, UNITED STATES, February 10, 2025 / EINPresswire.com / -- The American Marketing Association (AMA) released new research highlighting skills marketers need to succeed in a changing job market. The report–Marketing in the Age of Disruption: The Skills Marketers Need in 2025 and Beyond—identifies the key capabilities marketers must develop for an evolving industry.
AMA conducted the research to better understand the trends and skills necessary to evolve with the marketing industry. It expanded to include topics and technologies marketers need to stay ahead, including Generative Artificial Intelligence and data privacy. This research aims to identify key abilities to support marketers in their roles beyond, and points to the power of a well-rounded marketer as the industry expands.
'As marketers, we need to continually challenge ourselves, to find growth outside of our comfort zones. AMA's research shows us that the marketer of tomorrow needs to be well-rounded in their skill set. They also need to be prepared—we know brands are looking for marketing leaders with a diverse portfolio of skills and that includes new technologies like gen AI. We embarked on this research to ensure our community of marketers is not just prepared for the future but are helping to shape it,' said AMA's CEO, Bennie F. Johnson. 'The AMA is thrilled to not only share this research, but to be able to support those looking to sharpen their marketing skills.'
'We are always looking for ways to create and develop our community. This research allows for exploration into new technologies and a way to further support for AMA members and marketers around the world,' shares VP, Professional Development at AMA, Molly Soat.
Highlights:
• In this age of automation, marketers who want to stay competitive should not lose sight of the importance of 'human' skills—especially communication, innovation and adaptability.
• When it comes to job-specific skills, the largest current competency gaps are in digital marketing, data and analytics, proving ROI and data privacy and compliance. These are areas where marketers are not fully equipped to meet the demands of their roles today.
• Marketers report a high level of uncertainty about how skills related to technology and channels will change over the coming years. This volatility is most apparent in AI, data privacy, search and social media.
• Gen AI is the top rated future skill, with 43% of survey respondents predicting it will become more important in five years.
• Data privacy is quickly rising in importance as a skill for marketers, driven by a wave of comprehensive state-based regulations and mounting consumer pressure.
The full report can be found on the AMA website.
For more information about AMA's learning, PCM, and this report, send an email to Amy Gwiazdowski.
###
About the American Marketing Association (AMA)
As the leading global professional marketing association, the AMA ( https://www.ama.org/) is the essential community for marketers. From students and practitioners to executives and academics, we aim to elevate the profession, deepen knowledge, and make a lasting impact. The AMA is home to five premier scholarly journals including: Journal of Marketing ( https://www.ama.org/journal-of-marketing/), Journal of Marketing Research ( https://www.ama.org/journal-of-marketing-research/), Journal of Public Policy and Marketing ( https://www.ama.org/journal-of-public-policy-marketing/), Journal of International Marketing ( https://www.ama.org/journal-of-international-marketing/) and Journal of Interactive Marketing ( https://www.ama.org/journal-of-interactive-marketing/). Our industry-leading training events and conferences define future forward practices, while our professional development and PCM® professional certification advance knowledge. With almost 70 chapters and a presence on 350 college campuses across North America, the AMA fosters a vibrant community of marketers. The association's philanthropic arm, the AMA's Foundation, is inspiring a more diverse industry and ensuring marketing research impacts public good.
AMA views marketing as the activity, set of institutions, and processes for creating, communicating, delivering, and exchanging offerings that have value for customers, clients, partners, and society at large. You can learn more about AMA's learning programs and certifications, conferences and events, and scholarly journals at AMA.org ( https://www.ama.org/).
Amy Gwiazdowski
American Marketing Association
Legal Disclaimer:
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
2 hours ago
- Yahoo
MicroCloud Hologram Inc. Develops a Noise-Resistant Deep Quantum Neural Network (DQNN) Architecture to Optimize Training Efficiency for Quantum Learning Tasks
SHENZHEN, China, June 10, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ('HOLO' or the "Company"), a technology service provider, announced the development of a noise-resistant Deep Quantum Neural Network (DQNN) architecture aimed at achieving universal quantum computing and optimizing the training efficiency of quantum learning tasks. This innovation is not merely a quantum simulation of traditional neural networks but a deep quantum learning framework capable of processing real quantum data. By reducing quantum resource demands and enhancing training stability, this architecture lays the foundation for future Quantum Artificial Intelligence (Quantum AI) applications. Deep Neural Networks (DNNs) have demonstrated remarkable capabilities in various fields such as computer vision, natural language processing, and autonomous driving. However, with the rapid advancement of quantum computing, the scientific community is actively exploring how to leverage quantum computing to enhance the performance of machine learning models. Traditional quantum neural networks often borrow structures from classical neural networks and simulate classical weight update mechanisms using Parameterized Quantum Circuits (PQCs). However, these approaches are typically constrained by noise effects, and training complexity increases significantly as network depth grows. Against this backdrop, HOLO has proposed a Deep Quantum Neural Network architecture that uses qubits as neurons and arbitrary unitary operations as perceptrons. This architecture not only supports efficient hierarchical training but also effectively reduces quantum errors, enabling robust learning from noisy data. This innovation overcomes the previous bottleneck of limited depth scalability in quantum neural networks, opening new opportunities for quantum artificial intelligence applications. The core of this architecture lies in the construction of quantum neurons. Unlike classical neural networks, which use scalar values to represent neuron activation states, the neurons in a quantum neural network are represented by quantum states. These quantum states can store richer information and enhance computational power through mechanisms such as quantum superposition and entanglement. Each neuron updates its state through unitary operations, analogous to activation functions in classical neural networks. These unitary operations preserve the normalization property of quantum states and ensure that information is not lost during computation. This perceptron design endows the quantum neural network with powerful expressive capabilities, enabling it to adapt to complex quantum data patterns while reducing computational errors. To enable efficient training of the quantum neural network, HOLO employs an optimization strategy based on fidelity. Fidelity is a key metric that measures the similarity between two quantum states and is widely used in quantum information processing. During training, the quantum neural network aims to maximize the fidelity between the current state and the desired target state, rather than minimizing a loss function as in classical neural networks. This strategy allows the quantum neural network to converge to an optimal solution in fewer training steps, significantly reducing the quantum resources required for training. Moreover, this optimization approach exhibits strong robustness, effectively handling the inherent noise and errors in quantum systems. In quantum hardware experiments, HOLO validated the effectiveness of this optimization method and found that it maintains stable learning performance even in noisy environments. This characteristic makes the architecture practically viable on current Noisy Intermediate-Scale Quantum (NISQ) computers. While the depth expansion of classical neural networks typically leads to an exponential increase in parameters, quantum neural networks face challenges related to the number of qubits and the complexity of entanglement during expansion. To address this, the architecture optimizes the quantum state encoding method, ensuring that the required number of qubits scales only with the network's width rather than its depth. This innovative design implies that even as the neural network becomes very deep, the required qubit resources remain within a manageable range, thereby reducing hardware demands. This feature enables the deep quantum neural network to be trained on existing quantum processors and provides a feasible path for the realization of large-scale quantum machine learning models in the future. HOLO conducted several benchmark tests. One key task involved learning unknown quantum operations, where the quantum neural network was trained to predict how unknown quantum operations affect different input states. The results demonstrated that this architecture not only accurately learns target quantum operations but also exhibits excellent generalization capabilities. This means that even with limited training data, the quantum neural network can still infer reasonable quantum mapping relationships. Furthermore, even when the training data contains some noise, the network maintains stable learning performance, further proving its robustness in noisy environments. As quantum computing technology continues to advance, the practical application prospects of deep quantum neural networks are becoming increasingly broad. The development of HOLO's architecture not only advances the field of quantum machine learning but also opens new possibilities for various industries. HOLO plans to further optimize this architecture and explore its potential applications on larger-scale quantum computers. In the future, with the development of quantum hardware, deep quantum neural networks are expected to play a critical role in more real-world scenarios, paving new paths for the integration of artificial intelligence and quantum computing. HOLO has successfully developed a noise-resistant deep quantum neural network architecture that overcomes the limitations of traditional quantum neural networks, achieving efficient hierarchical training and quantum computing optimization. By using fidelity as the optimization target, this network reduces the demand for computational resources while maintaining robustness against noisy data. Experimental results have demonstrated its excellent generalization capabilities and practical feasibility, laying the foundation for the future development of quantum artificial intelligence. As quantum computing technology continues to mature, this innovative architecture is poised to play a significant role in multiple industries, ushering artificial intelligence into a new era of quantum computing. About MicroCloud Hologram Inc. MicroCloud is committed to providing leading holographic technology services to its customers worldwide. MicroCloud's holographic technology services include high-precision holographic light detection and ranging ('LiDAR') solutions, based on holographic technology, exclusive holographic LiDAR point cloud algorithms architecture design, breakthrough technical holographic imaging solutions, holographic LiDAR sensor chip design and holographic vehicle intelligent vision technology to service customers that provide reliable holographic advanced driver assistance systems ('ADAS'). MicroCloud also provides holographic digital twin technology services for customers and has built a proprietary holographic digital twin technology resource library. MicroCloud's holographic digital twin technology resource library captures shapes and objects in 3D holographic form by utilizing a combination of MicroCloud's holographic digital twin software, digital content, spatial data-driven data science, holographic digital cloud algorithm, and holographic 3D capture technology. For more information, please visit Safe Harbor Statement This press release contains forward-looking statements as defined by the Private Securities Litigation Reform Act of 1995. Forward-looking statements include statements concerning plans, objectives, goals, strategies, future events or performance, and underlying assumptions and other statements that are other than statements of historical facts. When the Company uses words such as 'may,' 'will,' 'intend,' 'should,' 'believe,' 'expect,' 'anticipate,' 'project,' 'estimate,' or similar expressions that do not relate solely to historical matters, it is making forward-looking statements. Forward-looking statements are not guarantees of future performance and involve risks and uncertainties that may cause the actual results to differ materially from the Company's expectations discussed in the forward-looking statements. These statements are subject to uncertainties and risks including, but not limited to, the following: the Company's goals and strategies; the Company's future business development; product and service demand and acceptance; changes in technology; economic conditions; reputation and brand; the impact of competition and pricing; government regulations; fluctuations in general economic; financial condition and results of operations; the expected growth of the holographic industry and business conditions in China and the international markets the Company plans to serve and assumptions underlying or related to any of the foregoing and other risks contained in reports filed by the Company with the Securities and Exchange Commission ('SEC'), including the Company's most recently filed Annual Report on Form 10-K and current report on Form 6-K and its subsequent filings. For these reasons, among others, investors are cautioned not to place undue reliance upon any forward-looking statements in this press release. Additional factors are discussed in the Company's filings with the SEC, which are available for review at The Company undertakes no obligation to publicly revise these forward-looking statements to reflect events or circumstances that arise after the date hereof. ContactsMicroCloud Hologram IR@
Medscape
4 hours ago
- Medscape
Judge Allows Docs' Lawsuit Against MultiPlan to Proceed
A district judge has ruled that physicians can move forward with a federal lawsuit that accuses insurers and an analytics company of underpaying them by billions through a price-fixing scheme for out-of-network services. In a June 3 decision, US District Judge Matthew Kennelly wrote that providers have alleged a direct injury from the reported price-fixing agreement and that their antitrust claims against data company MultiPlan are valid. The ruling addresses two consolidated complaints by several plaintiffs, including the American Medical Association (AMA) and the Illinois State Medical Society (ISMS), against MultiPlan, which has now changed its name to Claritev. The medical associations claim MultiPlan/Claritev and third-party payers violated federal and state antitrust laws with a price-fixing conspiracy that forced physicians to accept increasingly low payments for out-of-network services. The suit names Aetna, Cigna, UnitedHealth Group, and Health Care Service Corporation, a Mutual Legal Reserve Company, as 'co-conspirators' in the complaint, among other 'smaller' insurers. AMA President Bruce A. Scott, MD, praised the court for allowing the case to proceed, calling the ruling 'the clearest statement yet by a court that MultiPlan's lack of transparency, accuracy, and integrity in the insurer-run system for paying out-of-network medical bills is an antitrust violation.' 'MultiPlan and the commercial health insurance companies have profited from the rigged system while forcing physicians to accept lower and lower payment amounts for out-of-network services — payments that in many cases do not cover the cost of delivering care to patients,' Scott said in a media statement. 'Ending this conspiracy is a good start toward creating an open and honest system that will restore fair reimbursements and help ensure patients have access to the care they need.' A Claritev spokeswoman told Medscape Medical News in an email that the company remains 'confident that the facts will reinforce what we've consistently said — that these lawsuits are without merit and fail to acknowledge the critical role our competitive options play in reducing healthcare costs for employers and improving access for patients.' 'These lawsuits will only serve to increase healthcare [costs] for employers and patients. We will vigorously defend ourselves through the legal process while remaining focused on delivering value to our customers and the broader healthcare ecosystem.' ISMS President Richard C. Anderson, MD, said the medical society appreciates the ruling and that it's 'time for MultiPlan to face the music.' 'The company can change its name, but it doesn't change the fact that they reaped huge profits from this price-fixing collusion,' Anderson wrote in an email to Medscape Medical News . 'They routinely paid below-market reimbursement rates to physician for out-of-network healthcare services with no transparency in their process. Patients and physicians deserve better.' Alleged Price-Fixing Conspiracy On its website, Claritev describes itself as a healthcare technology, data, and insights company that focuses on improving affordability, transparency, and quality. The company offers an alternative method for calculating a third-party payer's out-of-network rate through its Data iSight algorithm, according to court records. Data iSight calculates rates by referencing the cost of the service to the provider and the median payment for similar services rendered, according to the legal summary. Using these metrics, the algorithm tends to produce lower payment rates than Usual, Customary, and Reasonable benchmarks. If payers agree to use a Data iSight-calculated rate, the company offers to negotiate the rate with providers on behalf of the insurer. During the negotiation, MultiPlan/Claritev conditions all payments on a provider's agreement not to balance bill the patient, according to the legal summary. The plaintiffs allege the company's rates are provided on a 'take-it-or-leave-it' basis and that they were unable to convince the company to deviate from a Data iSight-calculated rate. Providers can still decline MultiPlan's offer and seek payment directly from the patient and the insurer, according to court documents. An April 2020 study by the Office of the New York State Comptroller found that payments based on MultiPlan's repricing methodology at the time were 1.5-49 times lower than payments for the same services based on the traditional method of calculating out-of-network payment rates for physicians, according to the AMA. The physician plaintiffs contend the company undercuts fair payment for out-of-network healthcare services and eliminates market competition. The 'widespread conspiracy' between the company and insurers has forced many medical practices to shut down, cease offering certain services, or seek other employment arrangements, according to their complaint. Insurers have contracted with MultiPlan to use its Data iSight algorithm and negotiation services since 2015, and by 2018, hundreds of third-party payers had contracts with the company, according to court records. The company grew to having contracts with more than 700 third-party payers and, in 2019, processed more than 80% of out-of-network healthcare service payments, according to court documents. A 2024 New York Times investigation found that both the company and insurers made more money when then-MultiPlan lowered fees paid to physicians for out-of-network services. In May 2024, Ron Wyden (D-Oregon) and Bernie Sanders (I-Vermont), US senators, requested more information from MultiPlan, expressing concern that the company might be driving up costs for consumers. Sen. Amy Klobuchar (D-Minnesota) also sent a letter to the Federal Trade Commission in May 2024, seeking an investigation into what she deemed 'potentially anticompetitive conduct.' Company Argues Claims Invalid MultiPlan/Claritev asked the court to throw out the complaint, arguing the plaintiffs have not asserted a viable federal antitrust claim because they have not proven antitrust standing nor shown how the company violated antitrust law. Even if the providers are getting below-market payments, the company said the doctors have failed to allege the lesser payments are due to a harm to competition. Rather, MultiPlan/Claritev's services increase competition by providing another rate calculation option, and its services are further beneficial because they lower costs to third-party payers and patients, the company's attorneys argued. In addition, the company contended that providers have not been directly injured by the alleged party payer agreement to fix prices because 'they can always seek full payment from the patient.' However, Kennelly wrote that the providers have alleged a direct injury because the alleged balance billing prohibition prevents providers from seeking the remaining payment from patients and 'shields patients from the consequences of the alleged third-party payor price-fixing agreement.' If MultiPlan/Claritev's services are harmful or beneficial to competition is a matter for further court analysis, Kennelly also said. 'Whether MultiPlan facilitates a third-party payor price-fixing agreement or is simply another pricing option for payors is a factual dispute that cannot be resolved on a motion to dismiss,' he wrote in his ruling. The judge, however, dismissed the plaintiffs' unjust enrichment claims against the company. Kennelly wrote the physicians failed to allege an unjust enrichment claim under a specific state law. A case management conference in the case is scheduled for June 17.
Yahoo
a day ago
- Yahoo
Stagwell (STGW) CEO and Chairman Mark Penn to Host Ask Me Anything (AMA) on Reddit to Discuss the Future of Marketing
NEW YORK, June 9, 2025 /PRNewswire/ -- Stagwell (NASDAQ:STGW), the challenger network built to transform marketing, today announced CEO and Chairman Mark Penn will join the Reddit community for a live Ask Me Anything (AMA) session on Thursday, June 12th from 3:00 – 4:00pm ET. Participants are encouraged to submit questions in advance and join the conversation live to engage with Penn on Stagwell's growth trajectory, unique positioning in the industry, and more. How to Access the AMA Interested parties can join the conversation by creating a Reddit login and navigating to the /r/marketing sub-Reddit between 3:00 – 4:00pm ET on Thursday, June 12th. About StagwellStagwell is the challenger holding company built to transform marketing. We deliver scaled creative performance for the world's most ambitious brands, connecting culture-moving creativity with leading-edge technology to harmonize the art and science of marketing. Led by entrepreneurs, our specialists in 45+ countries are unified under a single purpose: to drive effectiveness and improve business results for our clients. Join us at ContactBen AllansonIR@ View original content to download multimedia: SOURCE Stagwell Inc. Error while retrieving data Sign in to access your portfolio Error while retrieving data Error while retrieving data Error while retrieving data Error while retrieving data
