Autore: martechcubejohn

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/ 

Related Articles -

Democratized Generative AI

Occupational Safety and Health Software Programs

Trending Category - IOT Wearables & Devices

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/ 

Related Articles -

Deep Learning in Big Data Analytics

Mental Healthcare with Artificial Intelligence

Trending Category - IOT Smart Cloud

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.

Read Full News @ https://ai-techpark.com/knowbe4-launches-free-breachsim/ 

Related Article - Generative AI Applications and Services

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/

Related Article - Explainable AI Is Important for IT

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/ 

Related Articles -

Future of QA Engineering

Top 5 Data Science Certifications

Trending Category - Patient Engagement/Monitoring

Are you overloaded with chores that are trivial and take a huge amount of time in the functioning of your business? Well, this is where hyperautomation comes into play and allows handling such extended and complicated business rules. This only translates to the next level of automation, or, in other words, a set of technologies undergoing revolution to revolutionize aspects of efficient working.

Picture intelligent robots working together with data analysis and machine learning to be able to orchestrate complex processes. The ability is to make all of this a reality through platforms of hyperautomation, which enable businesses to realize breakthrough results.

But is it worthwhile? It’s all about the ROI. Business managers will be in a position to show how hyperautomation impacts business operations so that they can make data-driven decisions and realize the actual potential of this transformational technology.

Cost Savings

Information technology (IT) isn’t all about fancy gadgets and troubleshooting; rather, it’s about wanting to streamline your business. Here’s how a solid IT strategy—one like how most managed service providers would do or go about this—does this:

Streamlined Operations: Automation eliminates what may be considered conventional activities, hence freeing more time for your staff to burrow into literally cream jobs, representing less labor cost and higher productivity.

Fewer Errors, Lower Costs: Proactive maintenance of systems will help detect and nip problems in the bud before snowballing into more costly errors. This sets you up to have smooth operations and reduces the risk of experiencing frustrating downtimes.

Resource Efficiency: A planned strategy for your IT enables your business to optimize its resources. You will efficiently use those at your disposal while cutting out unnecessary costs and ensuring a good return on investment.

Better Efficiency

Efficiency would be the key to reaping maximum results. Three important areas to consider are: lean processes, speed and productivity, and scaling. Lean processes make the workflow smooth with the help of automation. This could eradicate possible losses of effort and give a flow to the work. Better handling of tasks is bound to bring an increase in productivity, ensuring that you accomplish much within a short span of time. Finally, scalability ensures that your operation has the ability to scale with growth without running into inefficiencies or a spike in costs. This focus will help drive your business at full throttle.

To Know More, Read Full Article @ https://ai-techpark.com/hyperautomation-platforms-for-automation/ 

Related Articles -

Cloud Computing Chronicles

Transforming Business Intelligence Through AI

Trending Category - AI Identity and access management

DataStrike, a leader in data infrastructure services, announced the appointment of Carlo Finotti as its senior vice president of service delivery. A former client-side CIO and COO, Finotti is responsible for defining the strategic vision for DataStrike’s services offerings and technology innovation and building the entirely onshore team responsible for delivering those services to the company’s 200+ clients. DataStrike is the largest onshore provider of data infrastructure services for small- and mid-sized businesses (SMBs). Its end-to-end portfolio includes data management, cloud, enterprise application management and analytics.

“IT is undergoing a major shift given the proliferation of technologies like AI and cloud – with more on the way – and companies are trying to figure it all out, usually without the necessary resources,” said Finotti, senior vice president of service delivery at DataStrike. “They’re looking for a strong partner to guide and support them from strategy to ongoing management. They want to be able to sleep at night, and my entire focus is building the team and delivering the caliber of services that can give them exactly that peace of mind.”

Finotti comes to DataStrike from IT services provider XL.net, where he served as head of operations. Prior to XL.net, he served as CIO for North American Dental Group, where he led all facets of the organization’s IT function — from application delivery and software development to business intelligence and process automation —serving 240+ affiliated dental practices. Finotti began his career at rue21, leading IT operations and supporting the company’s 1,100+ retail stores.

Read Full News @ https://ai-techpark.com/datastrike-appoints-senior-vice-president-of-service-delivery/ 

Related Article -

Real-time Analytics with Streaming Data

NETSCOUT SYSTEMS, INC. (NASDAQ: NTCT), a leading provider of performance management, cybersecurity, and DDoS attack protection solutions, today introduced its new suite of Business Edge Observability products, including the nGenius Edge Sensor and Remote InfiniStreamNG solutions to deliver IT observability for remote locations at the digital edge. As the prevalence and importance of mission-critical applications and services expand at remote sites, like retail stores, manufacturing facilities, banks, utility companies, hospitals, and government offices, proactive, deep-dive observability is more critical in reducing business risk.

Recent research from the Uptime Institute points to the painful costs of outages. 16% of respondents stated their most recent outage cost more than $1 million, and 54% said costs exceeded $100,000, reinforcing the need for automating IT operations so mission-critical applications and data can be available locally.

“With the rise of edge computing, IoT solutions, front-line interactions, perimeter threats, and hybrid workers, detailed visibility into remote resources, exchanges, and application experiences is more critical than ever,” said Mark Leary, research director, network analytics and automation, IDC. “Key functions such as scalable deep packet inspection and synthetic transaction testing provide comprehensive views and valuable control mechanisms for the digital infrastructure, bolstering operational efficiency, worker productivity, customer satisfaction, security posture, and, ultimately, financial performance.”

Read Full News @ https://ai-techpark.com/netscout-expands-it-observability-for-the-digital-edge/ 

Related Article -

Rise of Low-Code and No-Code

Leslie, can you please introduce yourself and share your experience as a CEO and Founder at TurinTech?

As you say, I’m the CEO and co-founder at TurinTech AI. Before TurinTech came into being, I worked for a range of financial institutions, including Credit Suisse and Bank of America. I met the other co-founders of TurinTech while completing my Ph.D. in Computer Science at University College London. I have a special interest in graph theory, quantitative research, and efficient similarity search techniques.

While in our respective financial jobs, we became frustrated with the manual machine learning development and code optimization processes in place. There was a real gap in the market for something better. So, in 2018, we founded TurinTech to develop our very own AI code optimization platform.

When I became CEO, I had to carry out a lot of non-technical and non-research-based work alongside the scientific work I’m accustomed to. Much of the job comes down to managing people and expectations, meaning I have to take on a variety of different areas. For instance, as well as overseeing the research side of things, I also have to understand the different management roles, know the financials, and be across all of our clients and stakeholders.

One thing I have learned in particular as a CEO is to run the company as horizontally as possible. This means creating an environment where people feel comfortable coming to me with any concerns or recommendations they have. This is really valuable for helping to guide my decisions, as I can use all the intel I am receiving from the ground up.

To set the stage, could you provide a brief overview of what code optimization means in the context of AI and its significance in modern businesses?

Code optimization refers to the process of refining and improving the underlying source code to make AI and software systems run more efficiently and effectively. It’s a critical aspect of enhancing code performance for scalability, profitability, and sustainability.

The significance of code optimization in modern businesses cannot be overstated. As businesses increasingly rely on AI, and more recently, on compute-intensive Generative AI, for various applications — ranging from data analysis to customer service — the performance of these AI systems becomes paramount.

Code optimization directly contributes to this performance by speeding up execution time and minimizing compute costs, which are crucial for business competitiveness and innovation.

For example, recent TurinTech research found that code optimization can lead to substantial improvements in execution times for machine learning codebases — up to around 20% in some cases. This not only boosts the efficiency of AI operations but also brings considerable cost savings. In the research, optimized code in an Azure-based cloud environment resulted in about a 30% cost reduction per hour for the utilized virtual machine size.

To Know More, Read Full Interview @ https://ai-techpark.com/ai-tech-interview-with-leslie-kanthan/ 

Related Articles -

Generative AI Applications and Services

Smart Cities With Digital Twins

Trending Category - IOT Wearables & Devices

Programming is the backbone of modern software development, as this aids in driving creation when creating innovative applications and systems that eventually power the digital world. However, the coding process can be complicated and challenging, but thankfully, with the development of modern software, software developers (DEV) can easily navigate intricate syntax, troubleshoot errors, and manage large codebases. Therefore, with the introduction of AI, coding assistants have emerged as valuable partners that can change the programming game forever and enhance the coding experience for DEV.

In today’s AITechPark article, we will explore the top five AI Coding Assistant tools, especially those made for developers, to streamline every process and boost workflow.

Codiga

The first AI coding assistant tool on our list is Codiga, which focuses on elevating the coding experience by providing intelligent support, code optimizations, and autocomplete suggestions that enable developers to write codes more efficiently. The tool analyzes code for potential errors and vulnerabilities, allowing users to identify and fix the problem before it is set out for production. Codiga excels at code refactoring as it supports more than 12 programming languages, including PHP, C++, Java, and Python, enhancing performance and readability. Regarding pricing, Codiga offers free individual plans, while the paid subscription starts at $14 per month.

Amazon CodeWhisper

Amazon’s CodeWhisperer provides real-time suggestions for developers, allowing full functions tailored to existing code that will help streamline their coding experience and make it easier to encounter unfamiliar APIs. The platform is identified as an open-source suggestion providing information related to the projects, such as URLs and licenses for easy reviewing of codes and their attributions. Beyond code suggestions, Amazon CodeWhisper facilitates comment completions for increased documentation. The tool supports popular programming languages such as Python, Java, and JavaScript and seamlessly integrates with IDEs such as Visual Studio Code, AWS Cloud9, and PyCharm. Amazon CodeWhisper is free for individual users, but the professional plan starts at $19 per month.

With the advancement in technology, AI coding assistant tools play an essential role in the software development industry, especially with continuous learning and improvement. These tools have the potential to reshape the coding experience and foster innovation and code excellence. Hence, by embracing the above AI Coding Assistants’ software, developers and programmers can overcome the challenges related to coding and enhance their skills to create high-quality software solutions.

To Know More, Read Full Article @ https://ai-techpark.com/the-top-five-best-ai-coding-assistant-tools-in-2024/

Related Articles -

Mental Healthcare with Artificial Intelligence

Deep Learning in Big Data Analytics

Trending Category - AItech machine learning