The Daily Watch News

Category: Uncategorized

  • Chico Businesses Unlock Future Growth: AI Workshop Demystifies Tech for Small Enterprises

    Chico’s small business community is embracing the future, thanks to a recent workshop designed to demystify Artificial Intelligence (AI) and equip local entrepreneurs with practical tools for growth. Far from being a technology reserved for large corporations, AI is rapidly becoming an accessible and essential asset for small businesses looking to enhance efficiency, improve customer engagement, and gain a competitive edge in today’s fast-paced digital landscape.

    The workshop, specifically tailored for the unique needs and resources of small business owners, addressed common misconceptions about AI. Many entrepreneurs perceive AI as overly complex, prohibitively expensive, or difficult to integrate without specialized IT knowledge. However, participants discovered a wealth of user-friendly and affordable AI applications that can be easily adopted to transform various aspects of their operations, from automating mundane tasks to personalizing customer experiences and optimizing marketing strategies.

    Attendees were guided through hands-on sessions that explored practical applications of AI. Demonstrations included leveraging AI-powered chatbots for 24/7 customer support, utilizing intelligent data analytics platforms to uncover market trends and customer preferences, and employing sophisticated content generation tools to create compelling marketing materials with greater speed and efficiency. The focus was firmly on actionable strategies, ensuring that participants left with concrete ideas and resources they could implement immediately within their own businesses. The workshop also emphasized responsible AI usage, covering important considerations such as data privacy and ethical implications.

    Local entrepreneurs expressed significant enthusiasm. Maria Rodriguez, owner of a local boutique, shared, “I always thought AI was just for tech giants. This workshop opened my eyes to how simple AI tools can help me manage inventory more effectively and even suggest personalized product recommendations to my customers. It’s a real game-changer for my small business!” Her sentiment resonated widely, highlighting the workshop’s success in bridging the knowledge gap and making advanced technology approachable for local enterprises.

    This initiative underscores Chico’s commitment to fostering a dynamic and innovative business ecosystem. By empowering its small businesses with the knowledge and confidence to embrace AI, the city is helping them unlock new potentials for sustained growth, innovation, and resilience. Such workshops are crucial for ensuring that local economies remain robust and forward-thinking, positioning Chico’s entrepreneurs to not only survive but thrive in the digital age.

    This Article is Sponsored By:

    AltShift: Fractional Chief Marketing Officer (CMO) for Hire Fractional Chief Technology Officer (CTO) for Hire

    RShift Marketing: Digital Marketing in Ohio & Social Media Marketing in Ohio

    See more articles from our network:

  • The AI Revolution’s Achilles’ Heel: Why Data Silos Threaten Enterprise Survival

    The promise of Artificial Intelligence, particularly through autonomous AI agents, is nothing short of revolutionary. These intelligent systems are poised to transform every facet of business, from automating complex processes and optimizing supply chains to personalizing customer experiences and driving data-driven strategic decisions. Yet, as organizations rush to deploy these powerful tools, a long-standing IT challenge has re-emerged with unprecedented urgency, morphing into an existential infrastructure problem: the pervasive issue of data silos.

    AI agents, by their very nature, are insatiably data-hungry. Their effectiveness, accuracy, and ability to learn and adapt are directly proportional to the breadth, depth, and quality of the data they can access. Whether it’s a customer service chatbot needing historical interactions, a predictive maintenance agent requiring sensor data and maintenance logs, or a financial fraud detection system analyzing transactional patterns, the intelligence of the agent is only as good as its data foundation.

    Data silos – isolated databases, disparate legacy systems, and departmental information hoards that refuse to communicate – have plagued enterprises for decades. They are often a consequence of organic growth, mergers and acquisitions, or simply a lack of cohesive data strategy. Historically, they led to inefficiencies, duplicate efforts, and a fragmented view of the customer or business. With the advent of AI agents, these long-tolerated nuisances have become critical bottlenecks, directly impeding the very core function of these advanced systems.

    This isn’t merely a technical inconvenience; it’s an existential threat. When AI agents cannot access comprehensive, real-time data across an organization, their insights become incomplete, their decisions flawed, and their automation efforts stumble. This leads to inaccurate forecasts, missed opportunities, increased operational costs due to manual interventions, and a significant competitive disadvantage against more agile, data-unified competitors. The true potential of AI, which relies on a holistic understanding of the enterprise, remains locked behind these digital walls.

    Addressing this challenge requires more than just superficial integrations. It demands a fundamental rethinking of an organization’s data infrastructure and culture. Strategies such as implementing a robust data fabric or data mesh architecture, establishing unified data platforms, and adopting API-first approaches are becoming non-negotiable. These solutions aim to create a cohesive, accessible, and governed data ecosystem that allows AI agents to seamlessly pull information from various sources without manual intervention or data duplication.

    Moreover, the solution extends beyond technology. It necessitates a significant cultural shift, breaking down organizational barriers and fostering a collaborative, data-sharing mindset across departments. Effective data governance, ensuring data quality, security, and compliance across all accessible datasets, is equally crucial. Without trust in the data, AI agents cannot be trusted to make critical decisions.

    In conclusion, while AI agents promise unprecedented efficiencies and innovations, their ultimate success hinges on overcoming the decades-old problem of data silos. For CIOs and business leaders, transforming fragmented data landscapes into unified, accessible, and intelligent data foundations is no longer an option, but a strategic imperative. It is the critical step to move from AI aspiration to AI realization, securing the enterprise’s future competitiveness in an increasingly intelligent world.

    This Article is Sponsored By:

    AltShift: Fractional Chief Marketing Officer (CMO) for Hire Fractional Chief Technology Officer (CTO) for Hire

    RShift Marketing: Digital Marketing in Ohio & Social Media Marketing in Ohio

    See more articles from our network:

  • Maximize Your AI Investment: Why a Brilliant Strategy is as Crucial as Brilliant Tech

    Artificial Intelligence (AI) has rapidly ascended from a futuristic concept to an indispensable tool for businesses across every sector. Its brilliance is undeniable: from automating complex processes and uncovering profound insights in vast datasets to enhancing customer experiences and fueling groundbreaking innovation, AI promises a transformative edge. Companies worldwide are pouring significant investments into AI technologies, recognizing their potential to redefine competitive landscapes and unlock unprecedented efficiencies.

    However, the journey from AI’s inherent brilliance to measurable business impact is often fraught with challenges. Many organizations, despite possessing cutting-edge AI tools and talented technical teams, find themselves struggling to translate this technological prowess into tangible strategic advantages. This common paradox highlights a critical gap: while the AI itself might be brilliant, the underlying strategy guiding its deployment and integration might be far from it.

    The issue often stems from a lack of clear strategic vision. Without well-defined objectives linked directly to business goals, AI initiatives can become disparate projects, failing to synergize or deliver collective value. Common pitfalls include inadequate data governance, a scarcity of talent, a failure to address organizational and cultural changes, and neglecting ethical considerations. These factors collectively prevent organizations from leveraging their AI investments to their fullest potential.

    To truly harness AI’s potential, a robust and adaptable strategy is paramount. This involves not just selecting the right technologies, but meticulously planning how AI will align with overarching business objectives, integrate seamlessly into existing workflows, and contribute to sustainable growth. A successful strategy encompasses developing a data-centric culture, fostering AI literacy, establishing clear governance frameworks, and prioritizing ethical development from conception to deployment.

    Understanding and rectifying these strategic shortcomings is crucial for any organization aiming to maximize its AI investment. JD Supra is hosting an insightful webinar, “Your AI Is Brilliant. Your Strategy Might Need Work.,” to help leaders navigate this complex landscape. This session will delve into common strategic missteps, offer practical frameworks for building an effective AI strategy, and highlight best practices for ensuring your AI initiatives deliver real, measurable business value, from August 26th, 6:00 pm – 7:00 pm PDT.

    Join industry experts to gain actionable insights into transforming your AI potential into strategic reality. Don’t let your brilliant AI underperform due to an underdeveloped strategy; register today via the JD Supra platform to secure your spot and unlock its full power.

    This Article is Sponsored By:

    AltShift: Fractional Chief Marketing Officer (CMO) for Hire Fractional Chief Technology Officer (CTO) for Hire

    RShift Marketing: Digital Marketing in Ohio & Social Media Marketing in Ohio

    See more articles from our network:

  • Is Your AI Strategy Keeping Pace with Your AI Innovation?

    In today’s rapidly evolving technological landscape, organizations are investing heavily in Artificial Intelligence, often acquiring incredibly sophisticated tools and algorithms. The raw power and potential of these AI solutions are undeniable, promising everything from enhanced operational efficiency to groundbreaking customer experiences. Yet, despite these brilliant technological acquisitions, many companies find their AI initiatives struggling to move beyond pilot projects or failing to deliver the promised transformative value. The truth often lies not in the AI’s capabilities, but in the strategy — or lack thereof — guiding its deployment.

    Having a cutting-edge AI model is akin to owning a high-performance sports car; without a skilled driver, a clear destination, and a well-planned route, its magnificent engine and advanced features are underutilized. The most common pitfall businesses encounter is a disconnect between their AI technology and their overarching business objectives. AI is not a magic bullet; it’s a powerful enabler that needs to be precisely aimed at specific, well-understood challenges. Without a clear strategic roadmap that aligns AI deployment with core business problems and desired outcomes, even the most brilliant AI can end up as an expensive, underperforming asset.

    One prevalent issue is ‘pilot purgatory,’ where AI projects get stuck in perpetual testing phases, never truly scaling across the organization. This often stems from an initial lack of foresight regarding data infrastructure, integration complexities, or the necessary organizational change management. A robust AI strategy must encompass not just the technical deployment, but also how data will be collected, governed, and fed into the AI, and how the insights generated will be acted upon by human teams.

    Furthermore, a comprehensive AI strategy must address the critical human element. It’s not enough to hire data scientists; organizations need strategists who can bridge the gap between technical possibilities and business realities. This includes fostering an AI-literate culture, upskilling existing employees, and establishing clear roles and responsibilities for AI adoption and oversight. Ethical considerations, such as bias detection, fairness, and transparency, must also be embedded from the very beginning of the strategic planning process, not as afterthoughts.

    To truly maximize your AI’s potential, consider these strategic imperatives: Define clear, measurable business objectives that AI will address. Establish a scalable data foundation that ensures data quality and accessibility. Plan for integration with existing systems to avoid siloed solutions. Cultivate an AI-ready workforce through continuous learning and development. And crucially, build a robust ethical framework that guides responsible AI development and deployment. AI is a powerful tool, but its true brilliance shines through when coupled with an equally brilliant, adaptable, and forward-thinking strategy.

    This Article is Sponsored By:

    AltShift: Fractional Chief Marketing Officer (CMO) for Hire Fractional Chief Technology Officer (CTO) for Hire

    RShift Marketing: Digital Marketing in Ohio & Social Media Marketing in Ohio

    See more articles from our network:

  • From Code to Catalyst: Why Your Brilliant AI Needs a Sharper Strategy

    The promise of Artificial Intelligence often glitters with visions of unparalleled efficiency, groundbreaking innovation, and a competitive edge. Organizations worldwide are investing significant capital and resources into developing sophisticated AI models, machine learning algorithms, and intricate automation systems. Indeed, the technological brilliance behind many of these implementations is undeniable, pushing the boundaries of what machines can achieve. However, a stark reality often emerges from this excitement: while the AI itself might be brilliant, the underlying strategy guiding its deployment and integration might be lagging, hindering its true potential.

    Many companies fall into the trap of “solution seeking a problem.” They build advanced AI capabilities without first clearly defining the business challenges they aim to solve or articulating a comprehensive vision for how AI will contribute to overarching strategic objectives. This often leads to fragmented projects, isolated successes that fail to scale, and an inability to demonstrate tangible ROI. Without a robust strategic framework, even the most cutting-edge AI can end up in “pilot purgatory,” never quite making it from a proof-of-concept to full operational integration.

    A successful AI strategy extends far beyond the technical implementation. It encompasses a holistic approach that considers data governance, ethical implications, workforce reskilling, organizational change management, and a clear understanding of stakeholder needs. It demands a top-down commitment that views AI not merely as a tool, but as a transformative force capable of reshaping business processes, customer interactions, and market positioning. Organizations must move beyond mere experimentation and develop a mature approach to AI adoption.

    To truly leverage the brilliance of AI, leaders must first define specific, measurable goals. What specific pain points will AI address? How will it improve decision-making, enhance customer experience, or streamline operations? Following this, assessing organizational readiness – from data infrastructure to employee skills – is crucial. Developing a phased roadmap that integrates AI initiatives with existing business processes and future growth plans ensures a more sustainable and impactful deployment.

    Ultimately, the goal isn’t just to have brilliant AI; it’s to have brilliant outcomes driven by AI. This requires a deliberate, well-articulated strategy that aligns technological prowess with business objectives, fostering an environment where innovation thrives and delivers measurable value. By focusing on strategic clarity as much as technical capability, companies can unlock the full, transformative power of artificial intelligence, moving beyond mere technological brilliance to achieve genuine business brilliance.

    This Article is Sponsored By:

    AltShift: Fractional Chief Marketing Officer (CMO) for Hire Fractional Chief Technology Officer (CTO) for Hire

    RShift Marketing: Digital Marketing in Ohio & Social Media Marketing in Ohio

    See more articles from our network:

  • AI’s Unseen Hand: How Automation is Reshaping Labor Markets and Job Prospects

    The landscape of employment is undergoing a significant transformation, with artificial intelligence emerging as a formidable force. Recent analyses, including those from institutions like the Federal Reserve Bank of Richmond, are actively exploring the intricate relationship between various worker types, their exposure to AI technologies, and the subsequent impact on job-finding rates. This exploration reveals a nuanced picture where technological advancement, while offering efficiency, also presents considerable challenges to the existing labor paradigm.

    Understanding ‘worker types’ in the context of AI exposure is crucial. The workforce isn’t a monolith; it comprises individuals with diverse skill sets, performing tasks ranging from highly routine and repetitive to uniquely creative and complex. AI, in its current state, is particularly adept at automating predictable tasks and processing large datasets, making roles heavy in such activities more susceptible to disruption. This includes certain administrative positions, manufacturing roles, and even some data entry or customer service functions. Conversely, roles requiring advanced critical thinking, emotional intelligence, complex problem-solving, or unique human creativity remain relatively insulated, at least for now.

    ‘AI exposure’ refers to the degree to which an individual’s job tasks or entire occupation can be augmented, assisted, or outright replaced by AI systems. High exposure jobs are those where a significant portion of daily activities can be performed more efficiently by algorithms or robots. As AI capabilities expand, the scope of these exposed jobs broadens, encompassing a wider array of sectors and skill levels than initially anticipated. This isn’t just about factory floors; it extends to analytics, legal research, and even aspects of healthcare diagnostics.

    The observed decline in job-finding rates, as highlighted by various economic indicators, can be partly attributed to this increasing AI exposure. As businesses adopt AI to streamline operations and enhance productivity, the demand for human labor in certain capacities diminishes. This creates a bottleneck in the hiring process for specific roles, making it harder for displaced workers or new entrants to the workforce to secure employment. The competition intensifies, and the skills demanded by employers shift rapidly, often leaving a gap between available talent and required proficiencies.

    Addressing this challenge requires a multi-faceted approach. Policymakers, educators, and industries must collaborate to foster reskilling and upskilling initiatives that equip workers with skills resilient to automation. Emphasizing human-centric skills—creativity, critical thinking, emotional intelligence, and complex communication—becomes paramount. While AI promises advancements, its integration necessitates a thoughtful societal transition to ensure a robust and equitable labor market for the future. The conversation must move beyond mere job displacement to active adaptation and innovation in workforce development.

    This Article is Sponsored By:

    AltShift: Fractional Chief Marketing Officer (CMO) for Hire Fractional Chief Technology Officer (CTO) for Hire

    RShift Marketing: Digital Marketing in Ohio & Social Media Marketing in Ohio

    See more articles from our network:

  • Tomorrow’s Innovators: Students Unleash AI to Forge a New World

    In an era increasingly defined by technological advancement, a burgeoning cohort of young minds is not merely observing the rise of artificial intelligence, but actively shaping its trajectory. Across educational institutions, students are stepping into the role of creators, showcasing an array of AI-powered innovations that promise to redefine industries, solve complex challenges, and enrich daily life.

    These student-led projects are far from theoretical exercises. They represent tangible solutions to real-world problems, demonstrating an impressive grasp of complex algorithms, machine learning principles, and data science. From AI models designed to predict disease outbreaks and optimize renewable energy grids to applications that enhance accessibility for individuals with disabilities, the breadth of their ambition is truly remarkable. Some teams are developing smart educational tools personalized to individual learning styles, while others are exploring AI in creative arts, generating unique music compositions or visual art pieces.

    The impact of these showcases extends beyond the technical merits of the inventions themselves. They serve as crucibles for critical thinking, collaboration, and ethical reasoning. Students are not just coding; they are grappling with questions of bias in algorithms, data privacy, and the societal implications of their creations. This holistic approach ensures that as they build the future, they are also considering its responsible and equitable development.

    Participation in such events fosters invaluable skills that transcend the classroom. Young innovators gain practical experience in project management, public speaking, and iterating on feedback, preparing them for leadership roles in the rapidly evolving tech landscape. Mentorship from educators and industry professionals often accompanies these initiatives, providing guidance and bridging the gap between academic learning and practical application.

    As these students unveil their groundbreaking artificial intelligence creations, they are not just presenting projects; they are offering glimpses into the world they envision and are actively constructing. Their ingenuity and forward-thinking spirit underscore a powerful message: the future of AI is bright, collaborative, and, most importantly, in capable young hands. They are not simply imagining a new world; through their algorithms and designs, they are meticulously building it, one innovative solution at a time.

    This Article is Sponsored By:

    AltShift: Fractional Chief Marketing Officer (CMO) for Hire Fractional Chief Technology Officer (CTO) for Hire

    RShift Marketing: Digital Marketing in Ohio & Social Media Marketing in Ohio

    See more articles from our network:

  • Tomorrow’s Innovators: Students Unveil Groundbreaking AI Visions, Reshaping Our Future

    A new wave of innovation is sweeping through educational institutions as students across the globe step forward to showcase their pioneering artificial intelligence creations. Far from merely understanding complex algorithms, these young minds are actively engaging in the exciting, and sometimes daunting, task of building the future. Their projects are not just academic exercises; they are tangible glimpses into a world redefined by intelligent machines, demonstrating a profound capacity for imagination and real-world problem-solving.

    From high school classrooms to university labs, students are tackling diverse challenges with AI. Some are developing sophisticated diagnostic tools that can assist in early disease detection, while others are programming AI models to monitor environmental changes, predict natural disasters, or optimize renewable energy grids. In the realm of education, student-built AI tutors are emerging, promising personalized learning experiences tailored to individual needs. Beyond practical applications, creativity also flourishes, with AI-powered art generators, music composers, and interactive storytelling platforms showcasing the artistic potential of machine intelligence.

    What drives this remarkable surge in student-led AI development? It’s a blend of inherent curiosity, a desire to make a tangible impact, and the sheer accessibility of powerful AI tools and learning resources. Modern educational curricula increasingly emphasize hands-on project-based learning, empowering students to move beyond theoretical concepts and apply their knowledge directly. This approach fosters not only technical proficiency in coding and data science but also crucial soft skills like critical thinking, ethical reasoning, collaboration, and iterative problem-solving – all essential for responsible AI development.

    The implications of this burgeoning talent pool are immense. These student innovators are not just future employees; they are future leaders, entrepreneurs, and ethical architects of technology. They are questioning existing paradigms, designing solutions for societal challenges that haven’t even fully materialized yet, and ensuring that the development of AI is inclusive and beneficial to all. Their work acts as a powerful reminder that the most transformative technological advancements often spring from the unbridled creativity and fresh perspectives of the next generation.

    As these students proudly present their AI marvels, they are doing more than just earning good grades; they are actively shaping the contours of a new world. Their enthusiasm, ingenuity, and ethical considerations promise a future where artificial intelligence is a force for good, driven by the bright and imaginative minds of tomorrow.

    This Article is Sponsored By:

    AltShift: Fractional Chief Marketing Officer (CMO) for Hire Fractional Chief Technology Officer (CTO) for Hire

    RShift Marketing: Digital Marketing in Ohio & Social Media Marketing in Ohio

    See more articles from our network:

  • Youthful Visionaries: How Student AI Projects Are Sculpting the Future

    The realm of Artificial Intelligence, once confined to the complex algorithms of researchers and tech giants, is now vibrantly alive in classrooms and innovation labs worldwide. A new wave of creators is emerging, not from seasoned professionals, but from the imaginative minds of students showcasing their groundbreaking AI projects. These young visionaries are not just learning about technology; they are actively wielding it to conceptualize and construct solutions that promise to redefine our collective future.

    From high school robotics clubs to university capstone projects, the diversity of these student-led AI initiatives is astounding. Imagine applications designed to monitor local air quality and predict pollution hotspots, or personalized tutoring systems that adapt to individual learning styles, making education more accessible. Students are also developing AI tools for early disease detection, enhancing sustainable agriculture practices, and even crafting innovative artistic expressions through machine learning algorithms. Each project is a testament to their ingenuity and a direct contribution to addressing real-world challenges.

    Beyond the impressive outcomes, the process of developing these AI creations equips students with an invaluable skill set. They are honing their coding proficiency, mastering complex problem-solving techniques, and engaging in critical thinking to design intelligent systems. Crucially, they are also grappling with the ethical implications of AI, learning to consider fairness, transparency, and accountability as integral components of their designs. This holistic approach ensures they are not just building technology, but building responsible technology.

    The ripple effect of these student innovations extends far beyond academic accolades. By tackling issues ranging from environmental conservation to healthcare accessibility and educational equity, these young developers are laying the groundwork for a more efficient, equitable, and intelligent society. Their fresh perspectives often lead to novel approaches that established industries might overlook, pushing the boundaries of what AI can achieve and accelerating technological progress.

    Educational institutions and mentorship programs play a vital role in nurturing this burgeoning talent. By providing access to cutting-edge tools, fostering collaborative environments, and encouraging interdisciplinary thought, they empower students to transform abstract concepts into tangible, impactful solutions. This supportive ecosystem is essential for cultivating the next generation of AI leaders and ensuring that innovation remains inclusive and accessible.

    In essence, the students showcasing their artificial intelligence creations are doing more than just presenting projects; they are actively imagining, prototyping, and shaping a new world. They are the architects of tomorrow, demonstrating that the future of AI is bright, innovative, and increasingly in the capable hands of a diverse and dynamic youth eager to make a difference.

    This Article is Sponsored By:

    AltShift: Fractional Chief Marketing Officer (CMO) for Hire Fractional Chief Technology Officer (CTO) for Hire

    RShift Marketing: Digital Marketing in Ohio & Social Media Marketing in Ohio

    See more articles from our network:

  • Nebraska’s AI Crossroads: Balancing Innovation and Regulation in Schools

    The rise of artificial intelligence (AI) is ushering in a new era across countless sectors, and education in Nebraska is no exception. As AI tools become more sophisticated and accessible, schools across the Cornhusker State are grappling with a pivotal question: how much regulation is truly necessary to harness AI’s potential while mitigating its risks?

    This debate isn’t merely academic; it’s a practical challenge facing superintendents, teachers, parents, and students alike. On one side are those advocating for cautious, comprehensive regulation. Their concerns are manifold: maintaining academic integrity in an age of AI-generated essays, protecting student data privacy, addressing potential biases embedded in algorithms, and ensuring equitable access to these powerful tools across all school districts, regardless of their resources. Without clear guidelines, there’s a fear that AI could exacerbate existing inequalities or inadvertently stifle human creativity and critical thinking skills.

    Conversely, many educators and policymakers argue for a more agile and less restrictive approach. They see AI not as a threat, but as a transformative opportunity. AI can personalize learning experiences for students, providing tailored feedback and adaptive content that caters to individual paces and styles. It can streamline administrative tasks, freeing up teachers to focus more on instruction and mentorship. Furthermore, integrating AI into the curriculum can prepare Nebraska students for a future workforce increasingly reliant on these technologies, fostering digital literacy and ethical AI use from an early age.

    The challenge for Nebraska schools is particularly acute given the state’s diverse educational landscape, from large urban districts to smaller rural schools. Developing a one-size-fits-all policy may prove difficult, and local control often plays a significant role in educational decisions. Some districts might opt for stricter AI usage policies, perhaps banning certain tools for specific assignments, while others might encourage experimentation and integration into lessons as a means of innovation.

    Ultimately, finding the right balance will require ongoing dialogue, collaboration, and a willingness to adapt. This could involve developing flexible ethical guidelines, investing in comprehensive teacher training programs to demystify AI and equip educators with best practices, and piloting various AI tools in controlled environments to understand their real-world impact. Nebraska’s educational leaders are not just deciding on rules for a technology; they are shaping the future learning environment for an entire generation, striving to ensure AI serves as a powerful ally in the pursuit of knowledge and student success rather than an unregulated disruptor.

    This Article is Sponsored By:

    AltShift: Fractional Chief Marketing Officer (CMO) for Hire Fractional Chief Technology Officer (CTO) for Hire

    RShift Marketing: Digital Marketing in Ohio & Social Media Marketing in Ohio