Categoria: Management

In recent years, self-service analytics has been the best approach in the field of business intelligence (BI) that aids analytics users in accessing, analyzing, and sharing their data to create actionable insights without the expertise or extra skill set on data analytics.  Therefore, with the increased reliance on data and analytics, analytic users can swiftly move away from conventional IT-centric reporting to much more decentralized self-service tools that will aid in improving business outcomes and making informed decisions for future business opportunities.

In today’s AITechPark article, we will learn more about a few self-service data analytics software and tools that will aid in your daily business processes.

Alteryx Platform

The first self-service data analytics software on our list is Alteryx, which specializes in data preparation and blending. The tools allow analytics users to organize, clean, and analyze data in a repeatable workflow. At the same time, it connects and cleanses the data from data warehouses, cloud applications, spreadsheets, and other sources. However, the issue is that it can be utilized only to connect, research, organize, and model the given data, but not visualize it. To subscribe to this Alteryx Platform, users need to spend $4,950 per year.

Cognos Analytics

With the introduction of Cognos Analytics, IBM presents extensive BI and analytic abilities under two distinct product sequences. This analytical platform allows analytics users to access data and create dashboards and reports. As Cognos Analytics collaborates with IBM Watson Analytics, it enables ML-enabled UX that includes automated pattern detection and supports NLP queries and generation. IBM’s BI software can be deployed both on-premises or as a hosted resolution via the IBM Cloud.

As we have stepped into the world of digitization, there is an increasing reliance on data and analytics. Therefore, with the above self-service analytics tools, users can easily empower their businesses and make better and faster decision-making without errors.

To Know More, Read Full Article @ https://ai-techpark.com/self-service-analytics-tools/

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Hello Hussein, can you share with us your professional journey and how you became involved in the field of AI and technology, leading to your role as co-founder of Momentable?

I’ve always been fascinated with technology and sci-fi. AI is one of those things that sticks in your mind, and you can’t help but think about it.

I studied engineering and worked in tech, and even with all the advancements in technology we have been witnessing in the past two decades, AI was one of those things that we always thought would remain a sci-fi pipe dream for a long time.

This is not because there was nothing happening. But those who work in tech know it takes a while for the evolution of these technologies, and advancements are usually several degrees of separation from the regular user.

I’m always learning, reading, and building tech products, so AI was a field of study; however, implementing it was never accessible for early-stage products.

The status of AI has forever changed. OpenAI’s ChatGPT launch has had a remarkable impact on the field of AI and tech in general. AI is now available for regular users. People like me working in tech can now use AI in everything they are doing, which will accelerate product development and will impact the kind of products we can build and deliver to customers.

In addressing concerns surrounding AI ethics, you mentioned the importance of regulatory measures, technological transparency, and societal readiness. Could you elaborate on how Momentable approaches these areas to mitigate potential ethical dilemmas?

With great power comes great responsibility. AI is a powerful technology, and it’s very easy for those wielding it to amplify the impact of the good and the bad in the work they do.

While we, in the tech space, are doing our very best to build great products that deliver great value, we are not social scientists, psychologists, or public servants. So, we can’t be expected to regulate and supervise ourselves, nor can we evaluate the impact of these technologies and the products using them on the individual and on society.

It’s great when companies have values, codes of ethics, missions, and visions; however, those are not enough. Just like we do not rely on drivers to drive safely, we have traffic laws, signs, lights, and we make sure people driving a car are licensed and trained. We need to do the same with technologies, which, I would argue, have a massive impact on shaping our future as a species more than anything we’ve ever had in our history.

At Momentable, we are acutely aware of the impact of generative AI on our stakeholders, artists, cultural organizations, and art lovers. We engaged our stakeholders, ran several experiments where generative AI created artworks with input from artists, with their permission and consent.

In addition to using AI to enhance customer experience on our platform, we are using the learnings to evolve our product and introduce Generative AI in a thoughtful way that adds value and advances the art and culture space.

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-hussein-hallak/ 

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Business in a dynamic environment no longer considers data a luxury; it’s the fuel that makes wise decisions and drives business success. Imagine real-time insights at your fingertips regarding your customers or the ability to identify operational inefficiencies buried in data sets. Be empowered to drive growth by making data-driven decisions that enable you to optimize marketing campaigns and personalize customer experiences.

However, unlocking this potential is where many of the SMBs struggle. Traditional data analytics solutions often come with fat price tags, thereby positioning themselves beyond companies with limited resources. But fear not! That doesn’t mean it has to be a barrier to entry into the exciting world of data-driven decision-making.

What are data democratization and self-service analytics?

Data democratization means extending access to organizational data to all employees, regardless of their technical nature. It essentially rests on the very foundation that the availability of data should be such that everybody in the entity can get access to information for making decisions and creating a culture that is transparent and collaborative in nature.

Self-service analytics involves tools and platforms that allow users to perform analysis on their own, outside the IT department. They are designed to be user-friendly enough for people in other functions within a company to generate reports, visualize trends, and extract insights on their own from any data they may want.

For small and medium-sized businesses, the benefits that come from data democratization and self-service analytics are huge:

Empower Employees to Make Data-Driven Decisions:

Arm workers at all levels with the ability to make more informed decisions that will have improved outcomes and innovative implications by providing them with relevant data and the proper tools with which to analyze it.

Improve Operational Efficiency:

Much of this IT bottleneck is removed through self-service analytics, improving operational efficiency and increasing decision-making at high speeds.

Gain Insights from Customer Data:

With data democratization, SMBs can get a closer look at customer behavior and preferences to ensure better customer experiences and focused marketing.

Basically, data democratization and self-service analytics democratize the power vested in data to drive efficiency, innovation, and growth within SMBs.

To Know More, Read Full Article @ https://ai-techpark.com/data-democratization-and-self-service-analytics/ 

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Orion Innovation (“Orion”), a leading digital transformation and product development services firm, appoints Cyrus Lam as its new Chief Financial Officer (CFO). Cyrus will spearhead Orion’s global financial organization and play a key role in shaping its fiscal strategies to drive sustained growth and expansion.

Cyrus brings over three decades of financial leadership experience to Orion, with a strong background in the technology and professional services sectors. Most recently, he served as the CFO of CDI LLC, a hybrid IT solutions provider. During his tenure at CDI, Cyrus played a crucial role in tripling the company’s revenues and achieving a 400% growth in profits over four years. His duration at CDI culminated in the company’s successful sale to AHEAD, resulting in an organization with more than $3.7 billion in gross revenue and over 2,500 employees across 40 locations.

Read Full News @ https://ai-techpark.com/orion-innovation-appoints-cyrus-lam-as-chief-financial-officer/

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Sophos, a global leader of innovative security solutions for defeating cyberattacks, today announced that Teresa Anania has joined the company as Chief Customer Officer (CCO). Anania will play a key role in accelerating Sophos’ customer and partner success initiatives to maximize value of Sophos’ portfolio of cybersecurity solutions and services, including Managed Detection and Response (MDR) services and endpoint, network, email, and cloud security.

Anania has more than 25 years of experience in leading customer satisfaction and sales growth across public and private sectors, excelling in both direct and indirect sales channels. Joining Sophos from Zendesk, Anania was responsible for the management and development of its global client base of more than 110,000 customers from small- and medium-sized businesses (SMB) to enterprises. During her time at Zendesk, Anania led all post-sales functions, including Professional Services, Customer Support, Customer Service, Customer Success, and Renewals, to deliver top line growth and measurable impact for customers. Anania has extensive experience specializing in scaling post-sales customer engagement for enterprise, commercial, and volume segments, delivering significant Return on Investment (ROI) and driving revenue.

Read Full News @ https://ai-techpark.com/teresa-anania-joins-sophos-as-chief-customer-officer/

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Becky, please provide a brief overview of your role and expertise within Orium, particularly in assisting commerce and retail brands with their digital transformation journey?

I’m the VP Digital Programs at Orium, which means I’m the executive sponsor for all projects and programs that fall within this line of business. The duties of an executive sponsor on a project or program at Orium involve providing strategic guidance, oversight, and support throughout the project lifecycle, with specific internal and external duties. Here are some key responsibilities of an executive sponsor in this context:

• Program / customer alignment
• Leadership and support to clients, teams and internal stakeholders
• Strategic decision making
• Stakeholder management in programs
• Risk management in programs

What is the role of composable commerce and MACH architecture, and what is its significance in today’s digital transformation landscape?

When digital commerce first emerged, brands operated two separate sales streams: in-store and online. This isn’t the case anymore, and as the where, when and how of commerce experiences has evolved, retailers have started leveraging a MACH approach (Microservices-based, API-first, Cloud native, and Headless) to overcome the rigidity of older technology stacks and enable them to serve their customers better.

With the growth of the MACH ecosystem, brands are recognizing the value of a composable approach. Composable architectures mean every component is independent, and they’re brought together in a curated, best-for-me system. This means brands can choose each element of their digital services to best meet their specific business model needs. The realities of modern commerce require brands to be able to respond effectively and efficiently to changes in the marketplace and the ability to custom curate and seamlessly integrate solutions is a core part of how brands will grow and thrive in the future.

What challenges do you believe organizations face when considering a transition to MACH architecture, based on your experience working with various brands?

One of the biggest challenges brands face is understanding how to work within this new paradigm. Monolithic solutions can be overly rigid and limiting, but they do take a lot of the decision-making out of the equation. One of the areas I work most closely with our clients on is helping determine both the what and the how— where do they need new tech today to create or seize opportunities and how should they approach implementation to maximize success.

Accelerators are an extremely effective way for brands to take advantage of the interoperability of a composable architecture while streamlining a lot of the early decision-making and integration. Orium’s Composable Accelerators, for example, provide a pre-integrated framework to operate from, which enables brands to launch on a new system in as few as 6 weeks, without compromising the ability to select the vendors that make the most sense for their unique business needs.

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-becky-parisotto/ 

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In this competitive environment, effective data governance software is the need of the hour that guarantees the business’s safety and availability of data. Data governance creates internal data standards and policies that can help data professionals have access to data, ensure the data is used properly, and serve real business value. In simple terms, by implementing data governance tools, you can build a strong foundation of data accuracy, reliability, and security.  

However, if you are curious to know more about the best data governance tools in the market, we have put together a list of the top five data governance tools that will protect your data from any unauthorized access and also comply with relevant data privacy regulations.

Alation Data Governance App

With the Alation Data Governance app, CDOs can effortlessly locate and organize data throughout your organization. This tool offers numerous features, such as collaborative data catalogs, data governance, stewardship tools, and advanced search capabilities that aid in finding the right data easily. Alation also integrates with other data tools, such as SQL and popular business intelligence platforms, which has increased its versatility and efficiency. However, Alation is also known for its complex setup and implementation processes, which can overwhelm some users.

Informatica Axon Data Governance

Informatica Axon Data Governance is a data engineer’s favorite data governance software that can deploy on-premises or in the cloud. The tools create a data catalog by scanning across different cloud platforms automatically, allowing features such as lineage tracking, data migration, and data analysis to be hassle-free. Informatica disassembles silos and brings IT, security, and business groups to guarantee that data is law-abiding with regulations.

Different businesses have different needs when it comes to the extensive amount of data they acquire; therefore, choosing the right data governance tools is essential to enhance your data governance strategy and provide the quality, accessibility, and security of data across the departments. Therefore, data professionals should start investing in data governance tools to scale up their businesses in this competitive world.

To Know More, Read Full Article @ https://ai-techpark.com/top-5-data-governance-tools-for-2024/ 

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KnowBe4, the provider of the world’s largest security awareness training and simulated phishing platform, today announced the release of BreachSim, a free tool designed to help organizations identify and address network security vulnerabilities from the lens of a hacker.

BreachSim enables IT security professionals and network administrators to uncover weaknesses in their security infrastructure and demonstrate the critical importance of employee training. BreachSim detects how data is being exfiltrated and helps uncover network vulnerabilities unique to an organization. This information allows organizations to know the necessary measures to harden their cybersecurity defenses and train their employees to build a strong human firewall.

BreachSim conducts the simulations and provides results in a few minutes. Compatible with Windows 10 or later and Windows Server 2016 or later, BreachSim offers an analysis of potential data exfiltration.

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Q2 Holdings, Inc. (NYSE:QTWO), a leading provider of digital transformation solutions for financial services, today announced that it is a 2024 Top Workplaces Technology winner, awarded by Energage. Energage is a purpose-driven organization that develops solutions to build and brand Top Workplaces. The 2024 Top Workplaces award marks Q2 as an employer of choice for those seeking employment in the technology category.

The Top Workplaces program has a 17-year history of surveying and celebrating people-first organizations nationally and across 60 regional markets. Top Workplaces awards are based on feedback from a research-backed employee engagement survey and celebrate organizations that have built people-first workplace cultures within their sector. Q2 has been awarded a Top Workplaces USA winner for three consecutive years and a Greater Austin Top Workplace for 13 consecutive years. This is a first-time award win for Q2 in the Top Workplaces Technology category.

“Earning a Top Workplaces award is a badge of honor for companies, especially because it comes authentically from their employees,” said Eric Rubino, Energage CEO. “That’s something to be proud of. In today’s market, leaders must ensure they’re allowing employees to have a voice and be heard. That’s paramount. Top Workplaces do this, and it pays dividends.”

Read Full News @ https://ai-techpark.com/q2-earns-national-2024-top-workplaces-award-in-technology-category/

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With data-driven decision-making now the best competitive advantage a company can have, business leaders will increasingly demand to get the information they need at a faster, more consumable clip. Because of this, we’ll continue to see calls for AI to become a business-consumer-friendly product rather than one that only technically savvy data scientists and engineers can wield. It’s this vision for the future that’s driving the five trends in AI-driven analysis that we see right now:

Users demand an explainable approach to data analysis

As AI technology advances, understanding the processes behind its results can be challenging. This “black box” nature can lead to distrust and hinder AI adoption among non-technical business users. However, explainable AI (XAI) aims to democratize the use of AI tools and make it more accessible to business users.

XAI generates explanations for its analysis and leverages conversational language, coupled with compelling visualizations, so non-data experts can easily interpret its meaning. XAI will be crucial in the future of AI-driven data analysis by bridging the gap between the complex nature of advanced models and the human need for clear, understandable, and trustworthy outcomes.

Multimodal AI emerges

Multimodal AI is the ultimate tool for effective storytelling in today’s data-driven world. While Generative AI focuses on creating new content, Multimodal AI can be seen as an advanced extension of Generative AI with its ability to understand and tie together information coming from different media simultaneously. For example, a multimodal generative model could process text to create a story and enhance it with pertinent images and sounds.

As data sets become more complex and robust, it’s become difficult to comprehensively analyze that data using traditional methods. Multimodal AI gives analytics teams the ability to consume and analyze heterogeneous input so they can uncover critical information that leads to better strategic decision-making.

Across all AI-driven analytics trends, it is crucial to emphasize AI safety and ethical practices as fundamental aspects in all areas of the business. For instance, Ethical AI is essential to help ensure that AI technologies are beneficial, fair, and safe to use. That is because AI models can inadvertently perpetuate biases present in the training data. As AI becomes increasingly personalized, incorporating a wider variety of data inputs and innovations, it is crucial that responsible AI governance and training are implemented across all levels of the organization. When everyone understands both the advantages and limits of AI, the future truly becomes brighter for all.

To Know More, Read Full Article @ https://ai-techpark.com/five-key-trends-in-ai-driven-analysis/ 

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