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Digital Transformation and Security Challenges
29Nov

Digital Transformation and Security Challenges

Agencies Accelerate Digital Transformation Amid Growing Security Demands Federal agencies are ramping up digital transformation initiatives to meet evolving public expectations and comply with mandates like the 21st Century Integrated Digital Experience Act (IDEA). However, securely transitioning to modern platforms like Salesforce requires specialized expertise, as highlighted in a new e-book by Own Company. The push for digital transformation is driven by the need to deliver efficient, modernized citizen services while safeguarding critical data. According to Federal Chief Information Officer Clare Martorana, agencies face a dual challenge: adopting advanced technologies and ensuring compliance with stringent security and regulatory frameworks. Salesforce, a leading SaaS platform, plays a pivotal role in these modernization efforts, offering tools to replace outdated systems and streamline operations. Yet, moving to such platforms involves more than migrating legacy data. Agencies must also address complex security requirements and ensure compliance with government regulations. To support secure transitions, companies like Own Company have emerged as key partners in federal digital transformation. Their solutions focus on secure development, data recovery, and long-term archiving. Tools like “Own Accelerate” enable safe and efficient testing within sandbox environments, while “Own Secure” leverages data classification and zero-trust principles to prevent security vulnerabilities. These measures mitigate risks such as insider threats and configuration errors, ensuring sensitive data remains protected throughout the transition process. Compliance with mandates like the Federal Information Security Management Act (FISMA) and National Institute of Standards and Technology (NIST) protocols remains a top priority. Agencies must safeguard citizen data across services ranging from healthcare to housing assistance while maintaining security and operational efficiency over the data’s lifecycle. Secure backups, compliance audits, and controlled data access are essential for building trust and resilience. As agencies incorporate AI into their operations, robust data strategies are becoming even more critical. AI-driven tools rely on accurate, real-time data for effective training and decision-making. Own’s backup and archiving solutions help agencies unlock data for AI applications while managing compliance and controlling storage costs. Ultimately, successful digital transformation requires more than adopting new technologies — it demands a careful balance of modernization, security, cost-efficiency, and alignment with agency missions. By acting decisively and addressing these challenges, federal agencies can meet rising public expectations while maintaining compliance and security. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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November 29, 2024in Data, Salesforce, Technology0 Comments
Agentforce to the Team
27Nov

Salesforce has officially launched Agentforce

Agentforce goes beyond traditional chatbots and copilots, leveraging advanced reasoning to perform tasks like resolving customer issues, qualifying leads, and optimizing marketing campaigns—all without human intervention. Triggered by data changes, business rules, automations, or API signals, Agentforce executes actions independently. Companies like OpenTable, Saks, and Wiley are already harnessing Agentforce to enhance employee productivity, expand their workforce, and elevate customer experiences.

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November 27, 2024in Data, Enterprise, Mulesoft, Salesforce0 Comments
Cyber Insurance
26Nov

Cyber Insurance

Navigating Cyber Insurance in an Evolving Threat Landscape The rapidly shifting cyberthreat landscape presents unique challenges for healthcare organizations and underwriters navigating cyber insurance coverage decisions. Cyber liability insurance plays a crucial role in shielding healthcare providers from the mounting costs associated with data breaches and cyberattacks, which now average $9.77 million per incident in the healthcare sector, according to IBM. The Challenges of Retaining Cyber Insurance Healthcare, among other heavily targeted sectors, faces difficulties in securing and maintaining affordable cyber insurance. The constantly evolving threat landscape impacts risk profiles, which drives up premiums and complicates coverage retention. Although year-over-year premium growth plateaued in the U.S. in 2023, 79% of respondents in a Delinea survey still reported increased insurance costs, with 67% experiencing premium hikes between 50% and 100%. As high-profile healthcare cyberattacks and increasing cyber risks persist, navigating the insurance landscape remains a significant challenge. Additionally, the lag in processing claims makes it difficult to anticipate how underwriters will respond to these changing threats. How the Evolving Threat Landscape Impacts Cyber Insurance Obtaining adequate cyber insurance coverage can be challenging in today’s risk-heavy environment. Unlike traditional insurance, where risks remain static, cyber risks constantly evolve to counteract security controls. “Cyber insurance risk adjusters face a unique challenge; unlike fires, which aren’t actively trying to burn you in new ways, cyberthreats are constantly adapting to bypass existing protections,” said Christopher Henderson, senior director of threat operations at Huntress. This continuous adaptation often means that by the time underwriting is complete, a risk assessment may already be outdated. Shifts in the threat landscape are driving changes in cyber insurance questionnaires. While in 2023 insurers focused on remote access tools, vulnerability management, and administrative access controls, the focus in 2024 shifted to include multifactor authentication (MFA) and identity-based attack prevention. This shift highlights the need for organizations to adapt to new requirements in cyber insurance as cybercriminals add new tactics to their playbooks. Adapting Insurance to Emerging Threats As cyberthreat tactics evolve, insurers may adjust policy terms to keep pace with the latest risks. Henderson suggests that insurers could move toward shorter underwriting cycles, possibly even six-month periods, to better align with the rapidly shifting cyber landscape. Mitigating Risk and Controlling Cyber Costs Several factors influence cyber insurance premiums, including organizational size and security posture. For healthcare providers, adhering to industry standards like SOC 2 and ISO 27001 can demonstrate compliance with best practices, improving coverage terms and potentially lowering premiums. Healthcare organizations using the NIST Cybersecurity Framework (CSF) as their primary security standard reported lower premium increases compared to those without this framework, according to a 2024 report by KLAS Research, Censinet, and the American Hospital Association. Henderson emphasizes the importance of layering new strategies with proven, traditional ones: “While staying vigilant against newer tactics like social engineering and identity-based attacks, maintaining consistent, auditable identity verification and MFA protocols remains crucial.” Despite upfront costs, cyber insurance can significantly reduce financial impact during cybersecurity incidents. For example, a 2024 Sophos report found that organizations with cyber insurance saw an average ransomware recovery cost of $2.94 million compared to $3.48 million for those without coverage. Navigating cyber insurance can be complex for healthcare organizations, but careful attention to risks and proactive security measures can help them secure the right coverage at sustainable rates. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

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November 26, 2024in Data0 Comments
healthcare Can prioritize ai governance
22Nov

Salesforce Data Governance

Salesforce Data Governance Best Practices Salesforce provides a centralized platform for managing customer relationships, but without proper data governance, the system can quickly become unmanageable. Data governance ensures the accuracy, security, and usability of the vast amounts of information collected, helping teams make better decisions and maximizing the value of Salesforce investments. By establishing robust processes and policies, organizations can maintain clean, compliant, and reliable data. Here’s an overview of data governance in Salesforce, its importance, and strategies to implement it effectively. What Is Data Governance in Salesforce? Data governance in Salesforce refers to the practices that monitor and manage data accuracy, security, and compliance. Proper governance ensures your Salesforce data remains trustworthy and actionable, avoiding issues like errors, duplicates, and regulatory violations. Key Components of Salesforce Data Governance: Strong governance enables organizations to make informed decisions and unlock Salesforce’s full potential. The Impact of Data Governance on Decision-Making Accurate and well-governed data empowers leaders to make strategic, data-driven decisions. With clean and current records, organizations can: Good governance ensures data integrity, leading to smarter decisions and improved business performance. Principles of Effective Salesforce Data Governance Building a strong data governance framework starts with these core principles: 1. Data Ownership Assign clear ownership of datasets to specific individuals, teams, or departments. Owners are accountable for maintaining data quality, ensuring compliance, and resolving issues efficiently. Benefits include: 2. Monitoring and Compliance Conduct regular audits to ensure data accuracy, detect unauthorized access, and maintain compliance with regulations. Tools like Salesforce’s built-in monitoring features or third-party solutions (e.g., Validity DemandTools) can streamline this process. Audit checks should include: Consistent monitoring safeguards sensitive data and avoids costly fines, particularly in heavily regulated industries like healthcare and finance. Steps to Develop a Data Governance Strategy Techniques for Maintaining High-Quality Data High-quality data is the backbone of Salesforce governance. Apply these techniques to ensure your data meets quality standards: Standardizing Data for Better Governance Data standardization ensures consistency across Salesforce records, improving analysis and operational efficiency. Examples include: Leveraging Data Management Tools Data management tools are essential for maintaining data integrity and enhancing governance. Benefits include: By integrating these tools into your Salesforce processes, you can establish a solid foundation for data governance while boosting operational efficiency. Final Thoughts Effective data governance in Salesforce is critical for maintaining data quality, ensuring compliance, and empowering teams to make strategic decisions. By following best practices and leveraging the right tools, organizations can maximize the value of their Salesforce investment and drive long-term success. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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November 22, 2024in Data, Salesforce, Technology0 Comments
Value-Based Care Technologies
22Nov

Value-Based Care Technologies

Essential Technologies for Value-Based Care Success As healthcare providers increasingly adopt value-based care, they must invest in the right technologies and resources to succeed in this model, which incentivizes high-quality, cost-effective care. Value-Based Care Technologies tie reimbursement to care quality, making providers accountable for patient outcomes while providing resources to enhance care. As of 2021, nearly 60% of healthcare payments were already tied to value-based models, according to the Health Care Payment Learning and Action Network (HCP LAN). While partnerships can initiate value-based care, providers must invest in the right technology to fully achieve the intended outcomes. Health Information Exchange (HIE) A robust health information exchange (HIE) is fundamental to value-based care, as it enables providers and payers to access high-quality data seamlessly. HIE allows healthcare professionals to share patients’ medical information electronically across organizations, promoting care coordination by giving providers a comprehensive view of patient needs. For patients, HIE enables more informed involvement in their care by making their health data accessible across specialists, labs, and pharmacies. While joining an HIE may involve new technology investments and workflow adjustments, it ultimately enhances provider access to critical health data. Population Health Management Tools Population health management tools help providers assess health outcomes within groups rather than focusing on individuals alone. These tools aggregate and analyze data, allowing practices to identify high-risk patients and create targeted interventions. This not only enhances health outcomes but can also reduce costs by avoiding expensive treatments. Patient engagement tools, such as telehealth and remote patient monitoring, are essential in population health management, especially for monitoring high-risk patients when in-person care is not feasible. Digital surveys integrated within patient portals can provide insights into social determinants of health, adding a broader context to patient needs. Data Analytics Data analytics transform healthcare data into actionable insights across four types: descriptive, diagnostic, predictive, and prescriptive. Providers can use these analytics to reduce hospital readmissions, predict diseases, and identify chronic illnesses. Data integration and risk stratification capabilities are especially valuable in value-based care, enabling providers to track patient health outcomes effectively and prioritize high-risk cases. Artificial Intelligence & Machine Learning AI and machine learning support many data analytics functions, helping identify patient needs and easing administrative burdens. Given staffing shortages and burnout—reported by 63% of physicians in 2021, according to the American Medical Association (AMA)—AI can automate tasks like documentation, charting, and scheduling, allowing providers to focus more on patient care. Additionally, AI-driven automation in revenue cycle management tasks, such as billing and coding, can reduce the administrative workload associated with value-based care. Price Transparency Technology Price transparency empowers patients to seek cost-effective care, a core principle of value-based models. When providers comply with transparency regulations, patients can better understand their costs and make informed decisions. For providers, leveraging price transparency tools ensures compliance and facilitates partnerships with payers by enabling more effective negotiation, which supports the overall goals of value-based care. As healthcare continues shifting to value-based models, investing in these technologies is critical for providers aiming for long-term success. While these tools rdo equire substantial investment, they are essential for improving patient outcomes, optimizing care quality, and ensuring sustainability in value-based care. When evaluating and choosing healthcare technology tools, contact Tectonic for help. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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November 22, 2024in AI Tools, Artificial Intelligence, Data, Life Sciences Cloud, Salesforce, Salesforce Development Services, Salesforce Foundations, Salesforce Health and Life Sciences Solutions, Salesforce Health Cloud, Salesforce Implementation Services, Salesforce Optimization, Technology0 Comments
Digital Transformation for Life Sciences
14Nov

Salesforce Winter 25 Release for Life Sciences

The Salesforce Winter ’25 release introduces groundbreaking updates tailored to the life sciences industry. Whether you’re in pharmaceuticals, biotech, or medical devices, these innovations aim to streamline operations, enhance patient care, and strengthen stakeholder relationships. Let’s explore the key enhancements: Quote and Agreement Automation Salesforce’s advancements in Quote and Agreement Automation simplify pricing and contractual negotiations for life sciences organizations. Key benefits include: These updates not only improve operational efficiency but also reduce errors and compliance risks, helping organizations stay ahead in a highly regulated industry. Financial Assistance Programs Navigating financial support for patients can be challenging, but Salesforce is making it easier. The Winter ’25 release enhances tools for managing financial assistance programs, ensuring eligible patients get the support they need. Key features include: By easing the financial burden on patients, these updates strengthen trust and foster better patient-provider relationships. Participant Recruitment and Enrollment Recruiting and enrolling participants for clinical trials is now more efficient with Salesforce’s new AI-driven tools. Notable improvements include: These updates not only shorten recruitment timelines but also enhance the overall trial experience for participants. Patient Program Outcome Management Tracking patient outcomes is vital for life sciences companies, and Salesforce’s Patient Program Outcome Management tools deliver powerful capabilities. Features include: These tools empower organizations to make data-driven decisions, improving program effectiveness and elevating patient care. Pharmacy Benefits Verification Verifying patient benefits is often a time-consuming task. The Winter ’25 release introduces automation to streamline this process. Key highlights: By simplifying benefits verification, this update enhances efficiency for providers and ensures a smoother experience for patients. Why It Matters for Life Sciences The Winter ’25 release is a leap forward for the life sciences industry, offering tools that: From automating quotes and agreements to improving patient support and trial management, these updates empower organizations to focus on delivering exceptional care and innovation. Ready to Transform Your Salesforce Experience?Tectonic is here to help you unlock the full potential of these enhancements. Whether you’re looking to optimize patient care, streamline operations, or improve outcomes, we’ll guide you every step of the way. Contact Tectonic today to get started! Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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November 14, 2024in Data, Salesforce Health and Life Sciences Solutions, Salesforce Optimization
Enterprises are Adopting AI-powered Automation Platforms
12Nov

Enterprises are Adopting AI-powered Automation Platforms

The rapid pace of AI technological advancement is placing immense pressure on teams, often leading to disagreements due to the unrealistic expectations businesses have for the speed and agility of new technology implementation. A staggering 88% of IT professionals report that they are unable to keep up with the flood of AI-related requests within their organizations. Executives from UiPath, Salesforce, ServiceNow, and ManageEngine offer insights into how enterprises can navigate these challenges. Leading enterprises are adopting AI-powered automation platforms that understand, automate, and manage end-to-end processes. These platforms integrate seamlessly with existing enterprise technologies, using AI to reduce friction, eliminate inefficiencies, and enable teams to achieve business goals faster, with greater accuracy and efficiency. This year’s innovation drivers include tools such as Intelligent Document Processing, Communications Mining, Process and Task Mining, and Automated Testing. “Automation is the best path to deliver on AI’s potential, seamlessly integrating intelligence into daily operations, automating backend processes, upskilling employees, and revolutionizing industries,” says Mark Gibbs, EMEA President, UiPath. Jessica Constantinidis, Innovation Officer EMEA at ServiceNow, explains, “Intelligent Automation blends Robotic Process Automation (RPA), Artificial Intelligence (AI), and Machine Learning (ML) with well-defined processes to automate decision-making outcomes.” “Hyperautomation provides a business-driven, disciplined approach that enterprises can use to make informed decisions quickly by analyzing process and data feedback within the organization,” adds Constantinidis. Thierry Nicault, AVP and General Manager at Salesforce Middle East, emphasizes that while companies are eager to embrace AI, the pace of change often leads to confusion and stifles innovation. He notes, “By deploying AI and Hyperintelligent Automation tools, organizations can enhance productivity, visibility, and operational transformation.” Automation is driving growth and innovation across industries. AI-powered tools are simplifying processes, improving business revenues, and contributing to economic diversification. Ramprakash Ramamoorthy, Director of AI Research at ManageEngine, highlights how Hyperintelligent Automation, powered by AI, uses tools like Natural Language Processing (NLP) and Intelligent Document Processing to detect anomalies, forecast business trends, and empower decision-making. The IT Pushback Despite enthusiasm for AI, IT professionals are raising concerns. A Salesforce survey revealed that 88% of IT professionals feel overwhelmed by the influx of AI-related requests, with many citing resource constraints, data security concerns, and data quality issues. Business stakeholders often have unrealistic expectations about how quickly new technologies can be implemented, creating friction. According to Constantinidis of ServiceNow, many organizations lack transparency across their business units, making it difficult to fully understand their processes. As a result, automating processes becomes challenging. She adds, “Before full hyperautomation is possible, issues like data validation, classification, and privacy must be prioritized.” Automation platforms need accurate data, and governance is crucial in managing what data is used for AI models. “You need AI skills to teach and feed the data, and you also need a data specialist to clean up your data lake,” Constantinidis explains. Gibbs from UiPath stresses that automation must be designed in collaboration with the business users who understand the processes and systems. Once deployed, a feedback loop ensures continuous improvement and refinement of automated workflows. Ramamoorthy from ManageEngine notes that adopting Hyperintelligent Automation alongside existing workflows poses challenges. Enterprises must evaluate their technology stack, considering the costs, skills required, and the potential benefits. Strategic Integration of AI and Automation To successfully implement Hyperintelligent Automation tools, enterprises need a blend of IT and business skills. Mark Gibbs of UiPath points out, “These skills ensure organizations can effectively implement, manage, and optimize hyperintelligent technologies, aligning them with organizational goals.” Salesforce’s Nicault adds, “Enterprises must empower both IT and business teams to embrace AI, fostering innovation while ensuring the technology delivers real value.” Business skills are equally crucial, including strategic planning, process analysis, and change management. Ramamoorthy emphasizes that these competencies help identify automation opportunities and align them with business goals. According to Bassel Khachfeh, Digital Solutions Manager at Omnix, automation must be implemented with a focus on regulatory and compliance needs specific to the industry. This approach ensures the technology supports future growth and innovation. Transforming Customer Experiences and Business Operations As automation evolves, it’s transforming not only back-end processes but also customer experiences and decision-making at every level. Constantinidis from ServiceNow explains that hyperintelligence enables enterprises to predict outcomes and avert crises by trusting AI’s data accuracy. Gibbs from UiPath adds that automation allows enterprises to unlock untapped opportunities, speeding up the transformation of manual processes and enhancing business efficiency. AI is already making an impact in areas like supply chain management, regulatory compliance, and customer-facing processes. Ramamoorthy of ManageEngine notes that AI-powered NLP is revolutionizing enterprise chatbots and document processing, enabling businesses to automate complex workflows like invoice handling and sentiment analysis. Khachfeh from Omnix highlights how Cognitive Automation platforms elevate RPA by integrating AI-driven capabilities, such as NLP and Optical Character Recognition (OCR), to further streamline operations. Looking Ahead Hyperintelligent Automation, driven by AI, is set to revolutionize industries by enhancing efficiency, driving innovation, and enabling smarter decision-making. Enterprises that strategically adopt these tools—by integrating IT and business expertise, prioritizing data governance, and continuously refining their automated workflows—will be best positioned to navigate the complexities of AI and achieve sustainable growth. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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November 12, 2024in Agentforce Platform, Artificial Intelligence, Data, Enterprise, Salesforce, Technology
Salesforce CPQ Check Up
11Nov

Salesforce CPQ Check Up

A Salesforce CPQ Check Up is a comprehensive review of your system’s configuration and performance. It assesses how well your CPQ solution integrates with your business processes, highlighting any gaps hindering your sales efforts. From pricing rules to approval processes, a health check ensures seamless functionality and equips your sales reps with the tools they need to succeed.

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November 11, 2024in Data, Salesforce CPQ
Pioneering AI-Driven Customer Engagement
11Nov

Pioneering AI-Driven Customer Engagement

With Salesforce at the forefront of the AI revolution, Agentforce, introduced at Dreamforce, represents the next phase in customer service automation. It integrates AI and human collaboration to automate repetitive tasks, freeing human talent for more strategic activities, ultimately improving customer satisfaction. Tallapragada emphasized how this AI-powered tool enables businesses, particularly in the Middle East, to scale operations and enhance efficiency, aligning with the region’s appetite for growth and innovation.

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November 11, 2024in Agentforce Platform, Data, Generative AI, Hyperforce, Salesforce Development Services
Martech Modernization
04Nov

Martech Modernization

Martech Modernization: The Trends, Challenges, and Opportunities A Snapshot of Martech Strategies and CDP Adoption According to research by Acxiom, 65% of companies with a defined martech strategy utilize a Customer Data Platform (CDP), compared to just 43% without one. This significant gap underscores the strategic role of CDPs in martech adoption. Additionally, nearly all businesses surveyed plan to revise their martech stack within the next 12 months, with 29% adding new tools and 15% consolidating existing ones. The Transformative Marketing Landscape Rapid technological advancements, changing customer expectations, and evolving identity ecosystems are fundamentally reshaping how brands engage their audiences. In this environment, modernizing martech has become essential for delivering the personalized experiences customers demand. However, modernization presents challenges such as siloed data, fragmented technologies, and gaps in expertise, complicating efforts to adapt. To gain insights into these dynamics, Acxiom surveyed 200 martech decision-makers from the US and UK about their modernization plans, motivations, and obstacles. The findings reveal a widespread push for martech updates, with brands seeking support to navigate this complex journey. SECTION ONE: A Martech Reset is Underway Martech Strategy Rises to the Top When asked to prioritize their marketing objectives, 34% of respondents listed developing a martech strategy among their top three goals. This places it alongside traditional objectives like increasing brand awareness and customer acquisition, reflecting its growing importance in achieving broader marketing goals. Even considering that survey respondents may prioritize martech more than the average business leader, the results highlight the industry’s dynamism and the pressing need for a martech reset. Widespread Stack Adjustments Nearly all surveyed businesses (99%) plan to adjust their martech stack in the next year. Key trends include: This widespread activity emphasizes the high priority placed on martech optimization. Streamlining and Experimentation Some organizations focus on refining their existing stacks, while others are piloting new platforms: C-Suite Engagement Martech modernization has also captured the attention of executive leadership. 60% of respondents noted that martech has become a higher priority for their C-suite in recent years, particularly in smaller companies leveraging technology to maximize resources and compete with larger rivals. Budget Increases Despite Economic Pressures In a challenging economic climate, 65% of respondents expect their martech budgets to grow over the next year, while only 10% foresee cuts. This trend reflects the recognition of martech as a strategic investment critical for maintaining competitiveness. SECTION TWO: Drivers of Martech Modernization Why Modernize? Modernization efforts are driven by a mix of goal-oriented and technical motivations. Key drivers include: Secondary motivations include streamlining integration, ensuring regulatory compliance, and reducing operational complexity. Key Takeaways As martech modernization accelerates, businesses must balance innovation with strategic planning to navigate this transformative era successfully. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

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November 4, 2024in Data, Technology
Road for AI Regulation
04Nov

Road for AI Regulation

The concept of artificial intelligence, or synthetic minds capable of thinking and reasoning like humans, has been around for centuries. Ancient cultures often expressed ideas and pursued goals similar to AI, and in the early 20th century, science fiction brought these notions to modern audiences. Works like The Wizard of Oz and films such as Metropolis resonated globally, laying the groundwork for contemporary AI discussions.

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November 4, 2024in Generative AI
AI Strategy for Your Business
27Oct

AI Strategy for Your Business

How to Create a Winning AI Strategy for Your Business To maximize the value of AI, organizations must align their AI projects with strategic business objectives. Here’s a 10-step guide to crafting an effective AI strategy, including sample templates to support your planning. While AI adoption is on the rise, many companies still struggle to unlock its full potential. According to the 2024 IDC report Scaling AI Initiatives Responsibly, even organizations with advanced AI practices, termed “AI Masters,” face a 13% failure rate, while those still emerging in AI see a 20% failure rate. Challenges such as poor data quality and cultural resistance often contribute to these failures. To avoid these pitfalls, companies need to adopt a more deliberate and strategic approach to AI implementation. As Nick Kramer from SSA & Company states, “It’s not just about implementing the right technology; a lot of work needs to be done beforehand to succeed with AI.” What is an AI Strategy and Why is it Important? An AI strategy unifies all necessary components—such as data, technology, and talent—required to achieve business goals through AI. This includes: A well-designed AI strategy sets clear directions on how AI should be leveraged to achieve optimal outcomes within the organization. 10 Steps to Craft a Successful AI Strategy Resources for AI Strategy Templates If you’re ready to start building your AI strategy, here are several resources offering templates and guidance: By following these steps and utilizing the right resources, businesses can ensure they capture AI in ways that align with their strategic goals and maximize their competitive edge. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Alphabet Soup of Cloud Terminology As with any technology, the cloud brings its own alphabet soup of terms. This insight will hopefully help you navigate Read more

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October 27, 2024in Data, Generative AI, Technology
Scaling Generative AI
23Oct

Scaling Generative AI

Many organizations follow a hybrid approach to AI infrastructure, combining public clouds, colocation facilities, and on-prem solutions. Specialized GPU-as-a-service vendors, for instance, are becoming popular for handling high-demand AI computations, helping businesses manage costs without compromising performance. Business process outsourcing company TaskUs, for example, focuses on optimizing compute and data flows as it scales its gen AI deployments, while Cognizant advises that companies distinguish between training and inference needs, each with different latency requirements.

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October 23, 2024in Data, Enterprise, Generative AI, Google, Salesforce

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